Marine LTSS: Climate Linked Atlantic Sector Science
Lead Research Organisation:
NATIONAL OCEANOGRAPHY CENTRE
Department Name: Science and Technology
Abstract
The ocean plays a vital role in sustaining life on planet Earth, both providing us with living resources and regulating our climate. The trajectory of current and future anthropogenically driven climate change will be very substantially controlled by the ability of the ocean to continue absorbing the 93% of excess heat and 30% of anthropogenic carbon entering the atmosphere that it currently takes up. The Atlantic Ocean is particularly important as the Atlantic Meridional Overturning Circulation (AMOC) transports heat northwards, keeping north-west Europe 3 degrees warmer than comparable latitudes in N America and Asia. The heat loss associated with the AMOC facilitates intense solubility-driven uptake of both natural and anthropogenic carbon. The Atlantic also supports spatially and temporally diverse biological communities in the water column and at the seafloor which constitute biodiversity reservoirs, act to store carbon in the oceans, and underpin the marine food web; in essence the ocean's natural capital. We now have abundant evidence that many features of the Atlantic Ocean and its marginal seas are changing, including the strength of the thermohaline and wind-driven circulation, sea surface and interior temperature and salinity distributions, air-sea CO2 fluxes, primary production and nutrient fields. These changes may constitute significant threats, by driving fundamental, but poorly understood, changes in the benefits we derive from the Atlantic Ocean.
In an era of rapid planetary change, expanding global population and intense resource exploitation, it is vital that we have internationally coordinated observing and prediction systems so policy makers can make sound evidence-based decisions about the ocean. CLASS will take the powerful synergistic approach of using a range of internationally coordinated observations and world-class numerical models to assess the current status and future evolution of the role Atlantic Ocean systems play in regulating key aspects of ocean services. It will support the UK element of international ocean observing and modelling programmes, prioritising the use of autonomous vehicles and new sensors to improve efficiency, and increase the spatial and temporal coverage of our ocean observations, while reducing dependence on expensive research ships. These underpinning activities will provide a platform for future funding investments for the academic community and contribute key datasets and model outputs that can be used across the UK and global community to address important marine policy relevant questions. Finally, we will create effective engagement activities ensuring academic partners have transparent access to NERC marine science capability through graduate training partnerships and access to shipborne, lab-based and autonomous facilities, and modelling capabilities.
In an era of rapid planetary change, expanding global population and intense resource exploitation, it is vital that we have internationally coordinated observing and prediction systems so policy makers can make sound evidence-based decisions about the ocean. CLASS will take the powerful synergistic approach of using a range of internationally coordinated observations and world-class numerical models to assess the current status and future evolution of the role Atlantic Ocean systems play in regulating key aspects of ocean services. It will support the UK element of international ocean observing and modelling programmes, prioritising the use of autonomous vehicles and new sensors to improve efficiency, and increase the spatial and temporal coverage of our ocean observations, while reducing dependence on expensive research ships. These underpinning activities will provide a platform for future funding investments for the academic community and contribute key datasets and model outputs that can be used across the UK and global community to address important marine policy relevant questions. Finally, we will create effective engagement activities ensuring academic partners have transparent access to NERC marine science capability through graduate training partnerships and access to shipborne, lab-based and autonomous facilities, and modelling capabilities.
Planned Impact
CLASS will generate impact amongst a wide stakeholder community, ranging from international policy makers to the public; we will therefore implement a variety of pathways to maximise this impact, tailored to each community, as follows:
1) Input to IPCC and other global climate assessment processes, primarily through prompt provision of data, peer-reviewed science outputs, and direct author contributions to IPCC's 6th Assessment Report (due in 2021), and provision of improved ocean model configuration for use in the UK contribution to the Coupled Model Inter-comparison Project (CMIP), which underpins the IPCC process.
2) Supporting UK Government decision makers, primarily through representation in MSCC evidence / working groups and MSCC secretariat support. CLASS will also work closely with Defra, its Delivery Agencies (e.g. JNCC, Cefas) and Devolved Administration equivalents (e.g. Marine Scotland) in delivery of UK marine mapping and observation obligations, e.g. through provision of expertise and technology (including novel sensors) that underpin delivery of Marine Strategy Framework Directive (MSFD) assessments and Marine Protected Area survey and monitoring.
3) Providing advice and strategic planning to international science programmes, primarily through committee representation and direct provision of new data and models to programmes including GO-SHIP, ARGO, ICOS and NEMO. We will also provide underpinning science activities and data to GOOS and other IOC-sponsored programmes, enhancing UK leadership and engagement with the IOC.
4) Technology transfer, delivered under guidance from and in partnership with stakeholders, including through market assessments and international technology roadmaps (e.g. through EU-AtlantOS). To ensure effective technology exploitation we will register and protect resulting IP generated by CLASS, and through an open and fair process, select optimal exploitation pathways (e.g. licensing, joint venture or spinout) that deliver technology for users as well as creating positive socio-economic outcomes. We will also disseminate CLASS technologies through conventional pathways, e.g. workshops and showcases, social media, high impact publications, and major international events (e.g. EGU/AGU).
5) Engaging with the wider public and non-scientific audiences will primarily be achieved through institutional press releases (mostly based around high-impact peer-reviewed publications) prepared by institutional communication teams, and supported by dedicated media pages on the CLASS programme website. We will also reach these audiences via established events (e.g. institutional Open Days) and a substantial presence at the Royal Society 'Summer Science Exhibition' towards the end of the project. To develop and maintain interest in CLASS, we will 'tweet' project news regularly and write blogs from all CLASS research expeditions to aid public understanding of our sea-going activities and scientific and technological outputs.
1) Input to IPCC and other global climate assessment processes, primarily through prompt provision of data, peer-reviewed science outputs, and direct author contributions to IPCC's 6th Assessment Report (due in 2021), and provision of improved ocean model configuration for use in the UK contribution to the Coupled Model Inter-comparison Project (CMIP), which underpins the IPCC process.
2) Supporting UK Government decision makers, primarily through representation in MSCC evidence / working groups and MSCC secretariat support. CLASS will also work closely with Defra, its Delivery Agencies (e.g. JNCC, Cefas) and Devolved Administration equivalents (e.g. Marine Scotland) in delivery of UK marine mapping and observation obligations, e.g. through provision of expertise and technology (including novel sensors) that underpin delivery of Marine Strategy Framework Directive (MSFD) assessments and Marine Protected Area survey and monitoring.
3) Providing advice and strategic planning to international science programmes, primarily through committee representation and direct provision of new data and models to programmes including GO-SHIP, ARGO, ICOS and NEMO. We will also provide underpinning science activities and data to GOOS and other IOC-sponsored programmes, enhancing UK leadership and engagement with the IOC.
4) Technology transfer, delivered under guidance from and in partnership with stakeholders, including through market assessments and international technology roadmaps (e.g. through EU-AtlantOS). To ensure effective technology exploitation we will register and protect resulting IP generated by CLASS, and through an open and fair process, select optimal exploitation pathways (e.g. licensing, joint venture or spinout) that deliver technology for users as well as creating positive socio-economic outcomes. We will also disseminate CLASS technologies through conventional pathways, e.g. workshops and showcases, social media, high impact publications, and major international events (e.g. EGU/AGU).
5) Engaging with the wider public and non-scientific audiences will primarily be achieved through institutional press releases (mostly based around high-impact peer-reviewed publications) prepared by institutional communication teams, and supported by dedicated media pages on the CLASS programme website. We will also reach these audiences via established events (e.g. institutional Open Days) and a substantial presence at the Royal Society 'Summer Science Exhibition' towards the end of the project. To develop and maintain interest in CLASS, we will 'tweet' project news regularly and write blogs from all CLASS research expeditions to aid public understanding of our sea-going activities and scientific and technological outputs.
Organisations
- NATIONAL OCEANOGRAPHY CENTRE (Lead Research Organisation)
- Our Dynamic Earth, Edinburgh (Collaboration)
- University of Granada (Collaboration)
- ETH Zurich (Collaboration)
- UNIVERSITY OF READING (Collaboration)
- Sun Yat-sen University (Collaboration)
- Natural Environment Research Council (Collaboration)
- Spanish Institute of Oceanography (Collaboration)
- French Research Institute for the Exploitation of the Sea (Collaboration)
- Alfred-Wegener Institute for Polar and Marine Research (Collaboration)
- Finnish Environment Institute (Collaboration)
- CENTRE FOR ENVIRONMENT, FISHERIES AND AQUACULTURE SCIENCE (Collaboration)
- NATIONAL OCEANOGRAPHY CENTRE (Collaboration)
- University of Antioquia (Collaboration)
- University College Cork (Collaboration)
- Northern Ireland Department of Agriculture, Environment and Rural Affairs (DAERA) (Collaboration)
- European Space Agency (Collaboration)
- University of Amsterdam (Collaboration)
- Utrecht University (Collaboration)
- Ruder Boskovic Institute (Collaboration)
- Swedish Institute (Collaboration)
- Mercator Océan (Collaboration)
- International Nitrogen Management System (Collaboration)
- University of Lisbon (Collaboration)
- Lancaster University (Collaboration)
- Newcastle University (Collaboration)
- Bigelow Laboratory for Ocean Sciences (Collaboration)
- Marche Polytechnic University (Collaboration)
- University of Miami (Collaboration)
- University of Calabria (Collaboration)
- Délégation Bretagne et Pays de la Loire (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- University of East Anglia (Collaboration)
- Commonwealth Scientific and Industrial Research Organisation (Collaboration)
- UNIVERSITY OF EXETER (Collaboration)
- Primer-E Ltd (Collaboration)
- Federal Maritime and Hydrographic Agency of Germany (Collaboration)
- UNIVERSITY OF OXFORD (Collaboration)
- University of Bern (Collaboration)
- Centre Bretagne-Normandie (Collaboration)
- Science and Technologies Facilities Council (STFC) (Collaboration)
- East China Normal University (ECNU) (Collaboration)
- University of California, San Diego (UCSD) (Collaboration)
- UNIVERSITY OF PRETORIA (Collaboration)
- Seafish (Collaboration)
- University of Otago (Collaboration)
- University of Dubrovnik (Collaboration)
- Deltares (Collaboration)
- University of Abomey-Calavi (Collaboration)
- Swedish Meteorological and Hydrological Institute (Collaboration)
- Marine Scotland Science (MSS) (Collaboration)
- Center for Scientific Research and Higher Education at Ensenad (Collaboration)
- INCT Energy and Environment (INCT-E&A) (Collaboration)
- Norwegian Institute of Marine Research (Collaboration)
- University of Azores (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- UNIVERSITY OF ABERDEEN (Collaboration)
- PLYMOUTH MARINE LABORATORY (Collaboration)
- Stockholm University (Collaboration)
- University of Vigo (Collaboration)
- Xi'an Jiaotong Liverpool University (Collaboration)
- University of Ghent (Collaboration)
- UNIVERSITY OF LEEDS (Collaboration)
- UNIVERSITY OF LIVERPOOL (Collaboration)
- Scottish Association for Marine Science (Collaboration)
- National Centre for Atmospheric Science (NCAS) (Collaboration)
- University of Bristol (Collaboration)
- Flanders Marine Institute (Collaboration)
- National Aeronautics and Space Administration (NASA) (Collaboration)
- Murdoch University (Collaboration)
- University of Gothenburg (Collaboration)
- University of St Andrews (Collaboration)
- Joint Nature Conservation Committee (Collaboration)
- University of Plymouth (Collaboration)
- University of Las Palmas de Gran Canaria (Collaboration)
- IMPERIAL COLLEGE LONDON (Collaboration)
- Balearic Islands Coastal Observing and Forecasting System (Collaboration)
- Department For Environment, Food And Rural Affairs (DEFRA) (Collaboration)
- Norwegian Institute for Water Research (NIVA) (Collaboration)
- UNIVERSITY OF GHANA (Collaboration)
- British Antarctic Survey (Collaboration)
- Korea Polar Research Institute (Collaboration)
- MARINE BIOLOGICAL ASSOCIATION (Collaboration)
- University of York (Collaboration)
- University of Connecticut (Collaboration)
- International Council for the Exploration of the Sea (ICES) (Collaboration)
- Senckenberg Research Institute and Nature Museum Senckenberganlage (Collaboration)
- UNIVERSITY OF STRATHCLYDE (Collaboration)
- Helmholtz Association of German Research Centres (Collaboration)
- Dutch Research Council (Collaboration)
- Natural Resources Wales (Collaboration)
- Senckenberg Museum (Collaboration)
- Government of South Georgia and the South Sandwich Islands (Collaboration)
- EMBL European Bioinformatics Institute (EMBL - EBI) (Collaboration)
- University of Aveiro (Collaboration)
- Qingdao University (Collaboration)
- Spanish National Research Council (CSIC) (Collaboration)
- UNIVERSITY OF SOUTHAMPTON (Collaboration)
- Natural History Museum (Collaboration)
- Great Lakes Environmental Research Laboratory (Collaboration)
- University of Luxembourg (Collaboration)
- Global Ocean Acidification - Observing Network (GOA-ON) (Collaboration)
- UK CENTRE FOR ECOLOGY & HYDROLOGY (Collaboration)
- Scottish Environment Protection Agency (Collaboration)
- Royal Holloway, University of London (Collaboration)
- University of Galway (Collaboration)
- Angling Trust (Collaboration)
- Carl von Ossietzky University of Oldenburg (Collaboration)
- National Center for Scientific Research (Centre National de la Recherche Scientifique CNRS) (Collaboration)
- Meteorological Office UK (Collaboration)
- Dublin City University (Collaboration)
- British Geological Survey (Collaboration)
- Research Center of Patagonian Ecosystems (CIEP) (Collaboration)
- Marine and Freshwater Research Institute (Collaboration)
- National Oceanic and Atmospheric Administration (Collaboration)
- National Centre for Earth Observation (Collaboration)
- Euro-Mediterranean Center on Climate Change (CMCC) (Collaboration)
- NORCE Norwegian Research Center AS (Collaboration)
- UNIVERSITY OF BRITISH COLUMBIA (Collaboration)
- University of Glasgow (Collaboration)
- Marine Institute (Collaboration)
- UNIVERSITY OF THE HIGHLANDS AND ISLANDS (Collaboration)
- Japan Agency for Marine-Earth Science and Technology (Collaboration)
- ABERYSTWYTH UNIVERSITY (Collaboration)
- University of Portsmouth (Collaboration)
- National Science Foundation (NSF) (Collaboration)
- Desert Research Institute (Collaboration)
- Sir Alister Hardy Foundation for Ocean Science (Collaboration)
- National Research Council (Collaboration)
- University of Bologna (Collaboration)
- Stazione Zoologica Anton Dohrn (Collaboration)
- Woods Hole Oceanographic Institution (Collaboration)
- Royal Academy of Engineering (Collaboration)
- Laboratoire de la Mer (Collaboration)
- French National Sequencing Center (Collaboration)
- Middle East Technical University (Collaboration)
- Royal Netherlands Meteorological Institute (Collaboration)
- Albert Ludwig University of Freiburg (Collaboration)
- Maldives National University (Collaboration)
- University of Alberta (Collaboration)
- Danish Meteorological Institute (DMI) (Collaboration)
- Scientific Committee on Oceanic Research (SCOR) (Collaboration)
- University of Manchester (Collaboration)
- University of Bergen (Collaboration)
- Senckenberg German Entomological Institute (Collaboration)
- Bournemouth University (Collaboration)
- Russian Academy of Sciences (Collaboration)
- Technical University of Denmark (Collaboration)
- AGRI-FOOD AND BIOSCIENCES INSTITUTE (Collaboration)
- Delft University of Technology (TU Delft) (Collaboration)
- Monterey Bay Aquarium Research Institute (Collaboration)
- Polytechnic University of Marche (Collaboration)
- Partnership for Observation of the Global Oceans, POGO (Collaboration)
- Environment Agency (Collaboration)
- National University of Ireland, Maynooth (Collaboration)
Publications
Acevedo-Trejos E
(2018)
Phytoplankton size diversity and ecosystem function relationships across oceanic regions.
in Proceedings. Biological sciences
Adams H
(2019)
Migration as a human affair: Integrating individual stress thresholds into quantitative models of climate migration
in Environmental Science & Policy
Agarwal V
(2021)
Intraseasonal predictability of natural phytoplankton population dynamics.
in Ecology and evolution
Airs R
(2022)
Seasonal measurements of the nitrogenous osmolyte glycine betaine in marine temperate coastal waters
in Biogeochemistry
Airs R
(2023)
Correction to: Seasonal measurements of the nitrogenous osmolyte glycine betaine in marine temperate coastal waters
in Biogeochemistry
Akpinar A
(2022)
Locally Modified Winds Regulate Circulation in a Semi-Enclosed Shelf Sea
in Journal of Geophysical Research: Oceans
Aldama-Campino A
(2020)
Meridional Ocean Carbon Transport
in Global Biogeochemical Cycles
| Title | Animation of the DY120 cruise track, showing weather conditions encountered during cruise |
| Description | Animation of the DY120 cruise track, showing weather conditions encountered during cruise. Also illustrating SAMS robotic glider occupying Ellett Array. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | Reached a large scientific and non-scientific audience. The combination of COVID challenges, the constant threat of adverse weather and a successful conclusion in the face of these challenges made for a compelling story. Initially shared through Twitter, later added to Youtube. |
| URL | https://www.youtube.com/watch?v=KRwmWWIIvDs&feature=emb_imp_woyt |
| Title | CTD Deployment on RRS James Cook on 24N 2020 JC191 |
| Description | CTD Deployment on RRS James Cook during 24N 2020 JC191 cruise in the North Atlantic |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2020 |
| Impact | Reached a large scientific and non-scientific audience. Initially shared through Twitter, later added to Youtube. |
| URL | https://www.youtube.com/watch?v=3pyZSBg3ezo |
| Title | CTD sampling at night on RRS James Cook on 24N 2020 JC191 |
| Description | CTD sampling at night on RRS James Cook on 24N 2020 JC191 cruise in subtropical North Atlantic |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2020 |
| Impact | Reached a large scientific and non-scientific audience. Initially shared through Twitter, later added to Youtube. |
| URL | https://www.youtube.com/watch?v=XiF0J-6iCXo |
| Title | Earth System Music - Music generated from the United Kingdom Earth System Model |
| Description | A series of seven (As of March 2020) musical pieces published on Youtube with a video. The pieces were procedurally generated using data from the United Kingdom Earth System Model (UKESM1), specifically the data products submitted to CMIP6. |
| Type Of Art | Composition/Score |
| Year Produced | 2019 |
| Impact | These pieces were viewed over 1300 times (as of march 2020), which accounts for 19 hours viewing time. These pieces also resulted in a publication (currently in discussions phase) and an invitation to present these work at the sea change music festival in Dartington. |
| URL | https://www.youtube.com/playlist?list=PL27v682n8E2Sla8U7jJph9w9M6nYln-W3 |
| Title | Sculpture for Oban winter festival (Sam Jones, Andy Crabb) |
| Description | Whale tail sculpture for Oban winter festival. Designed to highlight the impact of discarded fishing gear on wildlife. Currently on display in the Ocean Explorer Centre, SAMS, Oban. |
| Type Of Art | Artistic/Creative Exhibition |
| Year Produced | 2023 |
| Impact | Increased public awareness of marine plastic pollution, bycatch |
| URL | https://uk.whales.org/our-goals/prevent-deaths-in-nets |
| Title | Short film on the AMOC for broad audience |
| Description | A series of Paraview animations and narrative to introduce the AMOC to the public and explain the role of the OSNAP mooring array. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| Impact | Increased public understanding of AMOC |
| Title | Video for learning-based prediction of the particles catchment area of PAP sediment traps |
| Description | The ocean biological carbon pump plays a major role in climate and biogeochemical cycles. Photosynthesis at the surface produces particles that are exported to the deep ocean by gravity. Sediment traps, which measure the deep carbon fluxes, help to quantify the carbon stored by this process. However, it is challenging to precisely identify the surface origin of particles trapped thousands of meters deep because of the influence of ocean circulation on the carbon sinking path. In this study, we conducted a series of numerical Lagrangian experiments in the Porcupine Abyssal Plain region of the North Atlantic and developed a machine learning approach to predict the surface origin of particles trapped in a deep sediment trap.This new tool provide a better link between satellite-derived sea surface observations and deep sediment trap measurements, ultimately improving our understanding of the biological carbon pump mechanism. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| URL | https://zenodo.org/doi/10.5281/zenodo.10261826 |
| Title | Whittard Canyon internal tides animation |
| Description | Tides drive large internal waves which interact with the canyon walls, potentially influencing distributions of fauna on the canyon walls (Pearman et al., 2020). Pearman, Tabitha Rosemary Rainbow, et al. "Improving the predictive capability of benthic species distribution models by incorporating oceanographic data-Towards holistic ecological modelling of a submarine canyon." Progress in Oceanography 184 (2020): 102338. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2021 |
| Impact | Coverage on Twitter and Instagram |
| URL | https://www.youtube.com/watch?v=e06dQiZsPy4 |
| Description | Research supported through CLASS has revealed that a deep-ocean process playing a key role in regulating Earth's climate is primarily driven by cooling waters west of Europe. These findings will help scientists better forecast changes to the weather and climate by improving understanding of the influence of the ocean upon them. The study focused on part of the Atlantic meridional overturning circulation (AMOC), a system of ocean currents in the North Atlantic responsible for the transfer of huge amounts of heat from the ocean to northwest Europe, keeping its climate relatively mild. National Oceanography Centre (NOC) and Scottish Association for Marine Science (SAMS) scientists collaborated on this study alongside colleagues from 16 research institutions across seven countries.The prevailing scientific view, based on modelling studies, had been that most of the AMOC's overturning and variability occurs in the Labrador Sea, off Canada. Whereas this new research, published in the Journal Science, shows the overturning and variability actually happens in regions between Greenland and Scotland. There, warm, salty, shallow waters are carried northward from the tropics by currents and wind, sink and convert into colder, fresher, deep waters moving southward through the Irminger and Iceland basins. |
| Exploitation Route | These findings will help scientists better forecast changes to the weather and climate by improving understanding of the influence of the ocean upon them. |
| Sectors | Environment Other |
| URL | http://noc.ac.uk/news/breakthrough-identifying-what-drives-ocean-overturning |
| Description | Please see extensive list of engagement activity, influence on policy, practice, patents and the public, and software and technical development. As a National Capability project, 80% of our activity is underpinning the UK contribution for the Global Ocean Observing system, working with the Met Office in weather and climate forecasting, developing the next generation of technology needed by the academic community for ocean observations and supporting UK Government in delivering its commitment to international programmes.However, for the evidenced based impact (as related to REF) we are collecting the evidence, but at 3.5 years into the project it is too early to confirm the final long term impacts. We were reviewed by Science Committee and Council as part of a mid-term review and have generated a mid-term report card. We have very positive feedback from Science Committee on the impact and outcomes of out work so far, it was understood that some expeditions had been delayed due to covid, but that we had used our tiem to generate key publications and wider impact. |
| First Year Of Impact | 2021 |
| Sector | Digital/Communication/Information Technologies (including Software),Education,Government, Democracy and Justice |
| Impact Types | Societal Policy & public services |
| Description | A "manifesto" paper on a new cross-disciplinary subject "Socio-oceanography" (lead by K. Popova, in review). |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Contribution to new or improved professional practice |
| Description | A summary paper on the Arctic sea ice changes, on the climate risks and key impacts |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Contribution to new or improved professional practice |
| Description | BBNJ Consultations with UK Marine Science Community. Meeting at Foreign & Commonwealth Office, 14 February 2019. |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| Impact | Dr Tammy Horton provided advice to UK Foreign & Commonwealth Office concerning the protection of biodiversity in areas beyond national jurisdiction (BBNJ) aka 'The High Seas' |
| Description | Chair Northeast Atlantic Marine Biological Analytical Quality Control Scheme |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The NMBAQC scheme promotes best practice within the marine biological monitoring community, mainly at a national level, but there are also international participants within the scheme. Work produced under the scheme covers areas of human health (phytoplankton monitoring) and competent monitoring of the marine environment, a societal benefit. The MBA has worked to develop a zooplankton component, which all UK plankton labs participate in - this has increased confidence in many groups identification of zooplankton, and therefore robustness of the datasets. |
| URL | http://www.nmbaqcs.org |
| Description | Citation of our work in the Australian Field Manuals for AUVs |
| Geographic Reach | National |
| Policy Influence Type | Citation in other policy documents |
| Impact | Until recently the use of Autonomous Underwater Vehicles for regular benthic monitoring surveys was limited. With the increased availability of these type of vehicles, the Australian government saw the need to develop Recommended Operational Guidelines. They cited (and partly copied...) some of the papers published by Huvenne, Bett and Durden at NOC. They also invited Huvenne and Bett to review the document before publication. |
| URL | https://www.nespmarine.edu.au/sites/default/files/FieldManuals_NESPMarineHub_Chapter4_AUV_v1.pdf |
| Description | Climate change impacts on ocean circulation relevant to the UK and Ireland |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| URL | https://www.mccip.org.uk/sites/default/files/2023-02/Climate%20Change%20Impacts%20on%20Ocean%20Circu... |
| Description | Contributed to FW2 OSPAR candidate indicator for primary production. |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Contribution to new or Improved professional practice |
| Description | Contribution to MCCIP science review by Y. Aksenov. |
| Geographic Reach | National |
| Policy Influence Type | Citation in other policy documents |
| Description | Contribution to OSPAR Commission Background Document on Environmental Considerations for Subsea Cables |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Contribution to new or improved professional practice |
| Impact | The report presents an up to date understanding of the techniques involved in installation subsea cables and the latest understanding of environmental impacts to ensure best practice for the design and installation of subsea cables in the OPSAR region. |
| URL | https://www.ospar.org/documents?v=52457 |
| Description | EMSO Assembly of members (Prof Richard Lampitt & Dr Andrew Gates) |
| Geographic Reach | Europe |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | European level research infrastructures advancing long-term monitoring of seas and oceans. The European Multidisciplinary Seafloor and water column Observatory (EMSO) aims to explore the oceans, to gain a better understanding of phenomena happening within and below them, and to explain the critical role that these phenomena play in the broader Earth systems. |
| Description | Findlay, H.S., Artoli, Y., Birchenough, S.N.R., Hartman, S., León, P. and Stiasny, M. Climate change impacts on ocean acidification relevant to the UK and Ireland. MCCIP Science Review 2022, 24pp. doi: 10.14465/2022.reu03.oac |
| Geographic Reach | Europe |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | Informed the NEMO-SI3 modelling development strategy. |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Contribution to new or improved professional practice |
| Impact | Development of the model components for the climate research to inform IPCC assessment reports 7. |
| Description | Input in the Community Ocean Wave Climate (COWCliP) intercomparison project (WMO/IPCC) |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Contribution to new or improved professional practice |
| Description | MCCIP (2020) Marine Change Impacts: Marine Climate Change Impacts Report Card 2020 (Stoker, B., Turrell, W. R., Robinson, K.A., Howes, E.L., Buckley, P., Maltby, K., and Matear, L., eds.) |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Description | McCarthy, G.D., Jackson, L.C., Cunningham, S.A., Holliday, N.P, Smeed, D.A. and Stevens, D.P. (2020) Effects of climate change on the Atlantic Heat Conveyor relevant to the UK. MCCIP Science Review 2020,190- 207 |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Description | NEMO Development Strategy 2023-2027 (PI invited to advise Industry and Government at the SIAB) |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| URL | https://zenodo.org/records/7361464 |
| Description | NHM hosted High Seas Biodiversity / Deep-Sea Mining Discussion Event, with Foreign Office, and DEFRA, representatives. Natural History Museum, 11 June 2019 |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Contribution to a national consultation/review |
| Impact | Dr Tammy Horton provided specialist advice on High Seas Biodiversity and environmental impacts of Deep-Sea Mining to UK Foreign Office, and DEFRA, representatives. |
| Description | Offshore Wind Evidence and Change Programme (OWEC) Report - Electromagnetic Fields (EMFs) from subsea power cables in the natural marine environment - |
| Geographic Reach | National |
| Policy Influence Type | Contribution to new or improved professional practice |
| Impact | These insights will feed directly into a follow-on project, funded by OWEC, named 'Floating Offshore Wind Environmental Response to Stressors (FLOWERS)', which will build understanding of EMF as an environmental stressor associated with floating offshore wind. |
| URL | https://www.thecrownestate.co.uk/news/the-crown-estate-and-cefas-advance-understanding-of-interactio... |
| Description | PML global Stocktake 23 |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Contribution to a national consultation/review |
| URL | https://unfccc.int/topics/global-stocktake |
| Description | Participation in the DEFRA consultation on the Updated UK Marine Strategy Part Two: marine monitoring |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Impact | By participating in this consultation, we supported the UK Government in ensuring their evironmental policies are based on solid scientific evidence. |
| URL | https://consult.defra.gov.uk/marine/updated-uk-marine-strategy-part-two-marine-monitor/ |
| Description | Participation in the Healthy and Biologically Diverse Seas Evidence Group |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | HBDSEG is a Defra supported group which provides technical advice for the implementation of the UK Marine Strategy and the Marine Strategy Framework Directive (MSFD) with respect to descriptors linked to biodiversity |
| Description | Participation/Contribution to JNCC's The Big Picture Plan Development Group The Plan Development Group (concerning development of guidance for use of seabed imagery in monitoring of Marine Protected Areas) |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | Participation/Contribution to JNCC's The Big Picture as an expert advisor |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | Participation/Contribution to JNCC's The Big Picture as an expert advisor |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | The Big Picture sets guidance for the monitoring of the seabed environment (including in Marine Protected Areas and conservation zones) using photography, a very common method. |
| Description | Participation/Contribution to JNCC's The Big Picture as an expert advisor to the Co-ordination Committee, Quantification Working Group, AI Working Group (2019-2021) - (concerning development of guidance for use of seabed imagery in monitoring of Marine Protected Areas) |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| URL | https://jncc.gov.uk/news/big-picture-ii/ |
| Description | Presentation and Attendance at Natural Hazards Partnership Meetings with Cabinet Office to inform national risk assessment (continued contribution) |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| URL | http://www.naturalhazardspartnership.org.uk/ |
| Description | Processing and validating satellite-derived ocean colour products to monitor for water quality to inform industry and deliver policy directives. |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Contribution to new or Improved professional practice |
| Description | Recommended Operational Guidelines for the use of ROVs in marine benthic monitoring |
| Geographic Reach | National |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| Impact | Remotely Operated Vehicles are very versatile observational platforms offering unrivalled observational capacities in the marine environment, particularly in deeper waters. Until recently, they were not routinely used for government-commissioned benthic monitoring activities. However, with their wider availability, there was a need for clear guidelines on how to use these systems. Our expertise helped shaping these guidelines for JNCC. |
| URL | https://hub.jncc.gov.uk/assets/4abdba96-8ade-468d-8f80-c23a6ad87dc5 |
| Description | Recommended operational guidelines from JNCC about the use of AUVs for monitoring work |
| Geographic Reach | National |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| Impact | Using Autonomous Underwater Vehicles for benthic surveys provides more data for lower cost and less time. However, until recently these systems were not frequently used, particularly not in government-commissioned monitoring surveys. Our input into the Recommended Operational Guidelines means an effective gain in efficiency for the government. |
| URL | https://hub.jncc.gov.uk/assets/f52a772a-1d81-4cab-b850-7a9e32d0fef6 |
| Description | Response to International Negotiation Committee of the Global Plastics Agreement |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| Impact | In UN meeting n Nairobi, nations agreed to develop a legally binding agreement on plastic. |
| URL | https://namc.no/cases/namc-input-to-the-intergovernmental-negotiating-committee-of-the-global-agreem... |
| Description | Royal society pairing scheme -Lee de Mora |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Contribution to a national consultation/review |
| Description | Understand the effects of riverine run-off from agriculture and urban effluent in the western English Channel |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Contribution to new or improved professional practice |
| Description | Y. Aksenov gave a talk at the Cryosphere Pavilion at the UN Climate Change Conference (COP25, Madrid). :The New Arctic: The impact of change in Arctic Ocean sea ice on marine ecosystems and maritime industries" |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | citation in "Aquaculture sector locational guidance initial report: March 2021" |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Citation in other policy documents |
| URL | https://www.gov.wales/aquaculture-sector-locational-guidance-initial-report-march-2021 |
| Description | citation in "Climate change and the common fisheries policy" |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in other policy documents |
| URL | https://op.europa.eu/s/ya6L |
| Description | citation in "Sector locational guidance: aquaculture" |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Citation in other policy documents |
| URL | https://www.gov.wales/sector-locational-guidance-aquaculture |
| Description | citation in "Water/marine zero pollution outlook" |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in other policy documents |
| URL | https://op.europa.eu/s/ya7O |
| Description | citation in EU report "Marine biodiversity modelling study" |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in other policy documents |
| URL | https://op.europa.eu/s/ya42 |
| Description | citation in MCCIP report card 2020 |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in systematic reviews |
| URL | http://www.mccip.org.uk/impacts-report-cards/full-report-cards/2020/ |
| Description | response to 2030 Strategic Framework for International Climate and Nature Action |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| URL | https://consult.defra.gov.uk/strategy-campaigns-engagement-team/2030sf/ |
| Description | submission to BEIS Climate Science Narrative update |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Description | (COMFORT) - Our common future ocean in the Earth system - quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points |
| Amount | € 8,482,148 (EUR) |
| Funding ID | 820989 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 08/2019 |
| End | 08/2023 |
| Description | (IMMERSE) - Improving Models for Marine EnviRonment SErvices |
| Amount | € 4,998,942 (EUR) |
| Funding ID | 821926 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 12/2018 |
| End | 11/2022 |
| Description | (TechOceanS) - Technologies for Ocean Sensing |
| Amount | € 8,975,662 (EUR) |
| Funding ID | 101000858 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 09/2020 |
| End | 09/2024 |
| Description | (iAtlantic) - Integrated Assessment of Atlantic Marine Ecosystems in Space and Time |
| Amount | € 10,803,099 (EUR) |
| Funding ID | 818123 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 05/2019 |
| End | 05/2023 |
| Description | Advective pathways of nutrients and key ecological substances in the Arctic (APEAR) |
| Amount | £252,090 (GBP) |
| Funding ID | NE/R012865/2 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 12/2021 |
| Description | Arctic PRoductivity in the seasonal Ice ZonE (Arctic PrIZE) |
| Amount | £12,762 (GBP) |
| Funding ID | NE/P006078/2 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 01/2021 |
| Description | Assessing & mitigating the future risks of harmful algal blooms (HABs) to wild fisheries and aquaculture |
| Amount | £250,000 (GBP) |
| Funding ID | ENG2360 |
| Organisation | European fisheries fund (EFF) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2019 |
| End | 03/2020 |
| Description | Atlantic Meridional Transect Ocean Flux from Satellite Campaign (AMT4OceanSatFlux) |
| Amount | € 450,000 (EUR) |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 11/2019 |
| End | 04/2021 |
| Description | Atlantic Meridional Transect Ocean Flux from Satellite Campaign (AMT4OceanSatFlux), Phase 3 |
| Amount | € 300,000 (EUR) |
| Funding ID | 4000125730/18/NL/FF/gp |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 03/2021 |
| End | 12/2022 |
| Description | Atlantic Meridional Transect for CO2 Flux (AMT4CO2Flux) |
| Amount | € 300,000 (EUR) |
| Funding ID | 4000136286/21/NL/FF/ab |
| Organisation | European Space Agency |
| Sector | Public |
| Country | France |
| Start | 11/2021 |
| End | 04/2023 |
| Description | Automated in situ Plankton Imaging and Classification System (APICS) |
| Amount | £651,197 (GBP) |
| Funding ID | NE/X006018/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2022 |
| End | 03/2024 |
| Description | Autonomous Techniques for anthropogenic Structure Ecological Assessment (AT-SEA) |
| Amount | £480,759 (GBP) |
| Funding ID | NE/T010649/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2021 |
| End | 05/2024 |
| Description | BORA Blue Ocean Research Alliance |
| Amount | £100,000 (GBP) |
| Organisation | Subsea 7 S.A |
| Sector | Private |
| Country | United Kingdom |
| Start | 11/2021 |
| End | 11/2026 |
| Description | BioCam - Mapping of Benthic Biology, Geology and Ecology with Essential Ocean Variables |
| Amount | £587,602 (GBP) |
| Funding ID | NE/P020887/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2017 |
| End | 07/2017 |
| Description | BioCam - Mapping of Benthic Biology, Geology and Ecology with Essential Ocean Variables |
| Amount | £85,553 (GBP) |
| Funding ID | NE/P020739/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2017 |
| End | 06/2017 |
| Description | Biogeochemical processes and ecosystem function in changing polar systems and their global impacts (BIOPOLE) |
| Amount | £8,924,449 (GBP) |
| Funding ID | NE/W004933/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 03/2027 |
| Description | Bioreef - Mussel Power |
| Amount | £165,000 (GBP) |
| Organisation | Waitrose Limited |
| Sector | Private |
| Country | United Kingdom |
| Start | 05/2019 |
| End | 06/2020 |
| Description | Building the UK BioGeoChemical Argo array: the UK contribution to a global integrated biogeochemical autonomous ocean sensing network |
| Amount | £1,499,949 (GBP) |
| Funding ID | NE/V01577X/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2021 |
| End | 02/2024 |
| Description | CAMPUS (Combining Autonomous observations and Models for Predicting and Understanding Shelf seas) |
| Amount | £186,767 (GBP) |
| Funding ID | NE/R006822/2 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 03/2022 |
| Description | CAMPUS (Combining Autonomous observations and Models for Predicting and Understanding Shelf seas) |
| Amount | £371,537 (GBP) |
| Funding ID | NE/R006822/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2018 |
| End | 03/2019 |
| Description | Climate-forecasting for the Ascension Island Marine Protected Area |
| Amount | £20,000 (GBP) |
| Organisation | Ascension Island Government |
| Sector | Public |
| Country | Saint Helena, Ascension and Tristan da Cunha |
| Start | 03/2021 |
| End | 03/2022 |
| Description | Coastal Hazards: Multi-hazard controls on Flooding and Erosion (CHAMFER) |
| Amount | £2,713,354 (GBP) |
| Funding ID | NE/W004992/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 03/2027 |
| Description | Coastal-Oceans in Global Climate Models: Assessment and Analysis (CONGA) |
| Amount | £100,501 (GBP) |
| Funding ID | NE/V008552/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 07/2021 |
| End | 03/2022 |
| Description | Consequences of Arctic Warming for European Climate and Extreme Weather |
| Amount | £290,138 (GBP) |
| Funding ID | NE/V004875/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2020 |
| End | 11/2024 |
| Description | Controls over Ocean Mesopelagic Interior Carbon Storage (COMICS) |
| Amount | £563,958 (GBP) |
| Funding ID | NE/M020835/2 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 03/2023 |
| Description | DYNamics and predictability of the Atlantic Meridional Overturning and Climate (DYNAMOC) |
| Amount | £256,043 (GBP) |
| Funding ID | NE/M005097/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2014 |
| End | 11/2018 |
| Description | Development and testing of an imaging system for simultaneous detection of pico, nano and micro-phytoplankton |
| Amount | £0 (GBP) |
| Organisation | Chinese Scholarship Council |
| Sector | Charity/Non Profit |
| Country | China |
| Start | 02/2019 |
| End | 03/2020 |
| Description | Development of a Microcystis model for Lake Erie |
| Amount | $100,000 (USD) |
| Organisation | National Oceanic And Atmospheric Administration |
| Sector | Public |
| Country | United States |
| Start | 09/2023 |
| End | 10/2024 |
| Description | Ecological implications of accelerated seabed mobility around windfarms (EcoWind-ACCELERATE) |
| Amount | £668,249 (GBP) |
| Funding ID | NE/X008940/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 07/2022 |
| End | 08/2026 |
| Description | Emergence of Climate Hazards |
| Amount | £196,607 (GBP) |
| Funding ID | NE/S004602/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2019 |
| End | 10/2019 |
| Description | EnMap |
| Amount | £0 (GBP) |
| Funding ID | A00001-P00522 |
| Organisation | Specto Natura |
| Sector | Private |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 03/2025 |
| Description | FVCOM Lake Erie |
| Amount | $70,000 (USD) |
| Funding ID | 1305M321PNRMA0542 |
| Organisation | Great Lakes Environmental Research Laboratory |
| Sector | Public |
| Country | United States |
| Start | 08/2021 |
| End | 12/2022 |
| Description | Fiducial Reference Measurements for Sentinel Ocean Colour 2 |
| Amount | € 660,572 (EUR) |
| Organisation | European Organisation for the Exploitation of Meteorological Satellites |
| Sector | Public |
| Country | Germany |
| Start | 03/2021 |
| End | 03/2023 |
| Description | GCRF South Asian Nitrogen Hub |
| Amount | £17,534,969 (GBP) |
| Funding ID | NE/S009019/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2019 |
| End | 11/2019 |
| Description | GEORGE - Next generation multiplatform Ocean observing technologies for research infrastructures |
| Amount | € 9,997,437 (EUR) |
| Funding ID | 101094716 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 01/2023 |
| End | 06/2027 |
| Description | GW4 Studentship |
| Amount | £90,000 (GBP) |
| Organisation | GW4 |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 03/2025 |
| Description | Global Surface Air Temperature (GloSAT) |
| Amount | £1,329,833 (GBP) |
| Funding ID | NE/S015647/2 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 09/2024 |
| Description | Global Surface Air Temperature (GloSAT) |
| Amount | £1,329,834 (GBP) |
| Funding ID | NE/S015647/2 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 09/2024 |
| Description | Hanse Wissenschaftskolleg Fellowship |
| Amount | € 50,000 (EUR) |
| Organisation | Institute for Advanced Study |
| Sector | Charity/Non Profit |
| Country | Germany |
| Start | 09/2021 |
| End | 03/2023 |
| Description | Improving Models for Marine EnviRonment SErvices |
| Amount | € 4,998,942 (EUR) |
| Funding ID | 821926 |
| Organisation | European Commission H2020 |
| Sector | Public |
| Country | Belgium |
| Start | 12/2018 |
| End | 11/2022 |
| Description | LEGACY: Labrador Current Governs North Atlantic Climate System? |
| Amount | £89,939 (GBP) |
| Funding ID | NE/X010252/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2022 |
| End | 10/2023 |
| Description | MISSION (Mid- Infrared Silicon Photonic Sensors for Healthcare and Environmental Monitoring) |
| Amount | £5,757,814 (GBP) |
| Funding ID | EP/V047663/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2021 |
| End | 06/2026 |
| Description | Mapping Eelgrass Meadows in Swedish Coastal Areas - Earth Observation in support of Blue Carbon Research' |
| Amount | £50,000 (GBP) |
| Funding ID | UKSAG24_004 |
| Organisation | UK Space Agency |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2024 |
| End | 03/2025 |
| Description | Market research and protection of IP for the Marine Autonomous Plankton Sampler |
| Amount | £19,414 (GBP) |
| Funding ID | NE/S008985/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2018 |
| End | 10/2019 |
| Description | Mechanistic understanding of the role of diatoms in the success of the Arctic Calanus complex and implications for a warmer Arctic |
| Amount | £439,199 (GBP) |
| Funding ID | NE/P006353/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2017 |
| End | 10/2019 |
| Description | NEA PANACEA; North-East Atlantic project on biodiversity and eutrophication assessment integration and creation of effective measures |
| Amount | € 969,082 (EUR) |
| Funding ID | 31167499 |
| Organisation | European Union |
| Sector | Public |
| Country | European Union (EU) |
| Start | 03/2021 |
| End | 02/2023 |
| Description | NERC Strategy Equipment Fund: Perkin Elmer Spectrophotometer |
| Amount | £75,000 (GBP) |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2019 |
| End | 06/2019 |
| Description | NOISES - Nitrous Oxide In-Situ Environmental Sensors |
| Amount | £180,710 (GBP) |
| Funding ID | BB/X003426/1 |
| Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 07/2024 |
| Description | NOWMAPS (NWS Copernicus) -II |
| Amount | £328,842 (GBP) |
| Organisation | Mercator Océan |
| Sector | Private |
| Country | France |
| Start | 01/2018 |
| End | 03/2021 |
| Description | NSFGEO-NERC: HUrricane Risk Amplification and Changing North Atlantic Natural disasters (Huracan) |
| Amount | £2,366,158 (GBP) |
| Funding ID | NE/W009587/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 08/2027 |
| Description | New Copernicus Capability for Trophic Ocean Networks (NECCTON) |
| Amount | £1,107,496 (GBP) |
| Funding ID | 10042851 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2023 |
| End | 12/2026 |
| Description | Nitrogen fixation in the Arctic Ocean |
| Amount | £92,661 (GBP) |
| Funding ID | NE/T000570/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2023 |
| End | 07/2025 |
| Description | Ocean Dynamics as Driver of Seasonal to Decadal European Atmospheric variability (ODYSEA) |
| Amount | £80,665 (GBP) |
| Funding ID | NE/M006107/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2015 |
| End | 12/2018 |
| Description | Optimising NEMO-ERSEM for High Resolution |
| Amount | £60,000 (GBP) |
| Funding ID | ARCHER2-eCSE04-6 |
| Organisation | ARCHER |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 10/2022 |
| Description | PRE-MELT: Preconditioning the trigger for rapid Arctic ice melt |
| Amount | £105,979 (GBP) |
| Funding ID | NE/T000260/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2019 |
| End | 05/2022 |
| Description | Piloting an Information Management Framework for Environmental Digital Twins |
| Amount | £988,195 (GBP) |
| Funding ID | NE/X016765/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2022 |
| End | 11/2023 |
| Description | Processes drIving Submarine Canyon fluxES |
| Amount | £495,337 (GBP) |
| Funding ID | NE/W005441/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2022 |
| End | 09/2025 |
| Description | REDRESS - Restoration of deep-sea habitats to rebuild European Seas |
| Amount | £84,657 (GBP) |
| Funding ID | 10107562 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2024 |
| End | 01/2028 |
| Description | RENUMERATE (Copernicus) |
| Amount | £100,737 (GBP) |
| Organisation | Mercator Océan |
| Sector | Private |
| Country | France |
| Start | 03/2018 |
| End | 03/2020 |
| Description | Resolving Climate Impacts on shelf and CoastaL sea Ecosystems (ReCICLE) |
| Amount | £13,637 (GBP) |
| Funding ID | NE/M003477/2 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 09/2020 |
| Description | Restoration of Deep-sea habitats to Rebuild European Seas |
| Amount | € 9,950,000 (EUR) |
| Funding ID | 101135492 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 02/2024 |
| End | 01/2028 |
| Description | S-3EUROHAB. Satellite products for detecting EUtROphication and Harmful Algal Bloom events in the French-English Channel. Extension due to COVID-19 |
| Amount | € 72,000 (EUR) |
| Organisation | INTERREG IIIC North |
| Sector | Public |
| Country | France |
| Start | 09/2021 |
| End | 12/2022 |
| Description | SNAP-DRAGON: Subpolar North Atlantic Processes - Dynamics and pRedictability of vAriability in Gyre and OverturNing |
| Amount | £484,767 (GBP) |
| Funding ID | NE/T013400/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2020 |
| End | 02/2024 |
| Description | Seabed Mining And Resilience To EXperimental impact |
| Amount | £1,575,602 (GBP) |
| Funding ID | NE/T003537/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2021 |
| End | 05/2025 |
| Description | Sources, impacts and solutions for plastics in South East Asia coastal environments |
| Amount | £53,772 (GBP) |
| Funding ID | NE/V009591/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2020 |
| End | 11/2024 |
| Description | Sustainable Management of UK Marine Resources (tranche II) |
| Amount | £250,000 (GBP) |
| Funding ID | NE/V016601/1 (Exeter) and NE/V017454/1 (PML) |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2024 |
| End | 07/2025 |
| Description | Sustainable Oceans, Livelihoods and food Security Through Increased Capacity in Ecosystem research in the Western Indian Ocean (SOLSTICE-WIO) |
| Amount | £6,934,488 (GBP) |
| Funding ID | NE/P021050/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2017 |
| End | 10/2019 |
| Description | Technology based impact assessment tool foR sustaInable, transparent Deep sEa miNing exploraTion and exploitation |
| Amount | € 16,000,000 (EUR) |
| Funding ID | 101091959 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 01/2023 |
| End | 12/2027 |
| Description | The North Atlantic Climate System Integrated Study |
| Amount | £2,961,049 (GBP) |
| Funding ID | NE/N018044/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2016 |
| End | 11/2019 |
| Description | Towards a marginal Arctic sea ice cover |
| Amount | £214,968 (GBP) |
| Funding ID | NE/R000085/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2017 |
| End | 10/2019 |
| Description | UK-OSNAP-Decade: 10 years of observing and understanding the overturning circulation in the subpolar North Atlantic (2014-2024) |
| Amount | £1,000,304 (GBP) |
| Funding ID | NE/T008938/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 07/2019 |
| End | 07/2025 |
| Description | UK-OSNAP-Decade: 10 years of observing and understanding the overturning circulation in the subpolar North Atlantic (2014-2024) |
| Amount | £801,518 (GBP) |
| Funding ID | NE/T00858X/2 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 06/2023 |
| Description | UK-OSNAP-Decade: 10 years of observing and understanding the overturning circulation in the subpolar North Atlantic (2014-2024) |
| Amount | £882,355 (GBP) |
| Funding ID | NE/T00858X/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2019 |
| End | 10/2019 |
| Description | Wider Impacts of Subpolar nortH atlantic decadal variaBility on the OceaN and atmospherE' (WISHBONE) |
| Amount | £285,007 (GBP) |
| Funding ID | NE/T013540/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2020 |
| End | 02/2024 |
| Title | An instrument has been developed for simultaneous detection of pico, nano and micro-phytoplankton |
| Description | iItem for simultaneous detection of pico, nano and micro-phytoplankton |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | N/A |
| Title | Autonaut - FETCH AZA data download / reprogramming |
| Description | In September 2023 a groundbreaking experiment aimed to attempt the rendezvous and remote data download of a seabed pressure sensor in the Atlantic using a remotely piloted surface vehicle: a first for marine science. The data download confirmed that this procedure was possible, but highlighted a problem with the seabed pressure sensor. This culminated in a successful bug fix in the 11th hour, hopefully resulting in a year of good data generated before the next available communication via research vessel in July 2024. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Laying groundwork for autonomous vehicle download of remote mooring data. One additional year of calibrated pressure sensor records. |
| Title | Coastal permafrost erosion model |
| Description | Generic off-line pan-Arctic modelling tool of the coastal permafrost erosion has been developed in the framework of the new coupled ocean-sea ice-waves NEMO-CICE-WW3 model and can be used in other coupled and forced ocean-wave models. The developed model follows closely Wight's model (Barnhart 2014) and calculates coastal erosion due to wave action and sea level change anomalies, with added permafrost probability and adjustment for rocky/non rocky coast. The erosion rates depend on geological permafrost temperature, probability (PEX); ice content (ACDD) and marine parameters (SST, SWH, wave period). ACDD has the required variables to calculated organic carbon, nitrate and phosphate fluxes from erosion rates. The erosion model uses inputs from the coupled ocean-sea ice-waves model and land permafrost model and allows simulating permafrost erosion rates and fluxes of the terrigeneous matter, including fluxes of carbon, nutrients and contaminants. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The pan-Arctic model of the coastal permafrost erosion model can provide data on erosion rates for the current and future climate states and leads to the improved simulations of the marine biogeochemistry by accounting for the input of the land biogeochemical fluxes and land contaminants into the marine environment. The model provides coastal permafrost retreat data which allows assessing risks for the shore stability, shore settlements, on-shore structures and installations and can help coastal infrastructure development planning and climate impacts mitigation. The model can used for the ice barrier erosion assessments in the Antarctica. |
| URL | https://meetingorganizer.copernicus.org/EGU22/EGU22-5807.html |
| Title | Combined collisional and pack ice sea ice rheology and dynamics |
| Description | The method includes the full numerical implementation of combined granular rheology of Marginal Ice Zone sea ice and pack sea ice rheology (Feltham 2005). The method accounts for the impacts of sea ice fragmentation by waves on sea ice rheology and dynamics. The model implementation has been developed at the National Oceanography Centre by Drs Stefanie Rynders and Yevgeny Aksenov and has been included in the coupled and forced ocean-sea ice-waves NEMO(v3.6/v4.0+)-CICE5-ECMWF-WAM/WW3 configurations. The paper describing the method was published in 2022. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The method forms the basis of the new rheologies in ocean-sea ice-waves configurations and is made freely available through the UK NERC/UKMO Joint Sea Ice Modelling Programme and is used by the UK research community. |
| Title | Coupled wave-ice ocean model |
| Description | Coupled wave-ice ocean global model code based on the NEMO-CICE-WW3 v3.6 configuration has been developed. The components will be made available to the NEMO modelling system. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The new coupled model introduces improved simulations of the coupled processes between sea ice, waves and ocean and allows accounting for the effects of wave mixing and coastal erosion on the ocean and marine biogeochemical fluxes. The new model enables calculating risks for the off shore structure s and ships in the icy ocean environment and improve safety of the marine operations. |
| Title | Github glider processing toolbox |
| Description | Created a toolbox on Github to manage glider processing toolbox in a collaborative fashion. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Improved collaboration on glider processing techniques, increased impact of glider data |
| Title | Github mooring processing toolbox |
| Description | Created a toolbox on Github to manage the OSNAP mooring processing and transport calculation programming code. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Improvements for collaboration and standardisation with the international mooring community |
| Title | Harmful Algal Bloom Web Alert system for the English Channel |
| Description | A Data portal consisting of satellite and in situ observations of harmful algal blooms has been created to alert users of potential harmful algal blooms. This has been tested by end users in the shellfishery industry. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | The web tool has been show cased to end users (including Devon & Seven Inshore Fisheries Conservation Authority, UK; Comité Régional des Pêches de Normandie, France) and presented at key meetings. |
| URL | https://www.s3eurohab.eu/portal/ |
| Title | Improved seagrass mapping/monitoring methodology capabilities |
| Description | Pixalytics Ltd., are developing seagrass mapping/monitoring methodology capabilities for both submerged and intertidal habitats. The work has bought existing seagrass research stakeholders together to show case processing the optical satellite/airborne data to enhance the detection of seagrass using EO products. Pixalytics Ltd. will use the PML-developed Jupyter Notebooks as the starting point for deploying the seagrass algorithms to the ADIAS system. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | The work has bought existing seagrass research stakeholders together to show case processing the optical satellite/airborne data to enhance the detection of seagrass using EO products. |
| Title | Model to assess combined risks from ocean currents, tides, waves and sea ice for offshore operations in the polar oceans and ice-covered seas |
| Description | Off-line model method and tool to calculate critical loads and safety limits to navigate in sea ice has been developed in the framework of the new coupled ocean-sea ice-waves NEMO-CICE-WW3 model by Drs Stefanie Rynders and Yevgeny Aksenov. The model uses inputs from the coupled ocean-sea ice-waves model and applies newly developed dynamical and static ice loads calculations, along with the safety ice navigation limits for different ship classes and critical loads from combined effects from currents and waves. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | It produces timeseries and spatial maps of the loads and maps safety areas for marine operations, including ships navigation and fixed off-shore structures exploitation. The model allows assessments of the combined navigational and structural integrity risks of the fixed and floating off-shore installations from sea ice drift and compressions, ocean waves, currents and tides regionally and globally in all the seasons, as for the present day conditions, as well as for the future climates. This is essential for the marine safety planning and forecasting. |
| URL | https://link.springer.com/chapter/10.1007/978-3-030-80439-8_12 |
| Title | New approaches for detailed measurement of deep sea hazards (turbidity currents) |
| Description | We published a paper providing lessons learned and new approaches for designing platforms to make detailed measurements of dec sea sediment flows called turbidity currents that pose a hazard to critical seafloor infrastructure. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The paper provides the information for others to learn from our past experiences and has already been used by at least two research groups in New Zealand and Austria. |
| URL | https://sp.lyellcollection.org/content/500/1/605.abstract |
| Title | New improved sea ice rheology (Elastic-Anisotropic-Plastic) for SI3 regional configuration of the Arctic |
| Description | New improved sea ice rheology (Elastic-Anisotropic-Plastic) has been developed for the Sea Ice Integrated Initiative SI3 and included in the NEMO ocean modelling framework for the ocean research, climate and forecasting based on the ORCA2_SAS_ICE reference configuration. The NEMO code is available from https://forge.nemo-ocean.eu/nemo/nemo. This configuration has a resolution of 1/36 degree and is a cut-out of the global 1/36 configuration: https://github.com/immerse-project/ORCA36-demonstrator. The test cases for idealised domains are also available via the NEMO4.2 code download. Code authors: Drs Stefanie Rynders and Yevgeny Aksenov. The code base is a pre-4.2.0 NEMO version, the model source code can be found in the file src_tar. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The Elastic-Anisotropic-Plastic sea ice rheology simulates more accurately ice dynamics and open water leads than. the conventional rheologies, improving air-ocean momentum and heat coupling in the models. This leads to the improvement of the forecasts, CMEMS re-analysis and climate simulations. The research is done under the NERC Project "PRE-MELT" 15 (NE/T000260/1) and European Union's Horizon 2020 research and from the innovation programme under grant agreement No 821926 (project IMMERSE-Improving Models for Marine EnviRonment SErvices). The repository fulfils the public data access requirements of these projects. |
| URL | https://zenodo.org/record/6327871 |
| Title | Open Data Cube |
| Description | The project is building build a cohesive Open Data Cube to facilitate the use of in situ sampling, automated sensor network and multi-source, multi-sensor satellite data for monitoring the water quality in Plymouth Sound, UK and the Fitzeroy River and Great Barrier Reef, Australia. Sample Jupyter Notebooks are being generated using the ADIAS architecture to demonstrate the integration of ancillary data in synergy with water quality parameters to aid prediction of conditions that lead to poor water quality events. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | Improved water quality monitoring methods. |
| Title | Partially coupled global Forced model configuration NEMOv3.6-CICE5-ECWAM |
| Description | A partially coupled global ocean-sea ice-waves model has been developed by Drs Lucia Hosekova, Yevgeny Aksenov and Stefanie Rynders (NOC) for the model configuration NEMOv3.6-CICE5-WIM-ECWAM. The model has a fully interactive sea ice-wave model component - the Waves in Ice Module (WIM) which accounts for the process of the sea ice break up by waves, wave attenuation and propagation inside sea ice cover, wave-induced ocean mixing and melting of broken ice floes. The CICE5 model features a combined collisional-pack ice rheology, Elastic-Viscous-Plastic-Collisional rheology (EVPC) also developed and implemented by Drs Stefanie Rynders and Yevgeny Aksenov from the theoretical and analytical development by Feltham (2005), with several updates, including numerical solver for sea ice kinetic energy (granular temperature) evolution, and wave surge pressure. CICE5-WIM module simulates prognostic parameters of the sea ice floe sizes distribution, while using semi-empirical power law reconstruction of the floe sizes distribution after wave break up. CICE5-WIM modelling component is fully coupled to the ocean model NEMO and the whole modelling system is forced with the atmospheric re-analysis DFS5 and the wave fields from ECMWF wave model WAM (ECWAM). The partially coupled model has been configured and tested for the decadal integrations at 1 deg. and 1/4 deg. horizontal resolution (NEMO model grid). |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The results improve mixed layer depth simulations in the global models, providing ways to improve physical and biogeochemical model biases in the present climate model runs. The results feed in the NERC projects LTSM ORCHESTRA/ENCORE, "Towards the Marginal Arctic Sea Ice", PREMelt and LTSS CLASS and in inform the NEMO-SI3 model development strategy. The model improves predictions of the ocean and sea state in the ice covered areas, with applications for climate, forecasting, off-shore safety and marine industries by providing additional and more accurate information on the sea state in the ice-covered oceans, ice drift and dynamical ice stresses, ice fragmentation and floe sizes and the state of the upper ocean and mixed layer. The model development improved mixed layer depth simulations in the global models, providing ways to improve physical and biogeochemical model biases in the present climate model runs. The model is not more computationally expensive to run than conventional NEMO-CICE model, opening a way for the multi-decadal present and future climate simulations. The results feed in the NERC projects LTSM ORCHESTRA/ENCORE, "Towards the Marginal Arctic Sea Ice", PREMelt and LTSS CLASS and in inform the NEMO-SI3 model development strategy. |
| URL | https://link.springer.com/chapter/10.1007/978-3-030-80439-8_12 |
| Title | Processing of in situ optical radiometer measurements and uncertainty estimates |
| Description | Validation of Ocean Colour Sentinel-3A and -3B satellite data |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | NA |
| Title | Processing of in situ optical radiometer measurements and uncertainty estimates and validation of Ocean Colour Sentinel-3A and -3B satellite data. |
| Description | These results have been disseminated through presentations at the meetings listed in engagement activities. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | Processing and validating satellite-derived ocean colour products to monitor for water quality to inform industry and deliver policy directives. PML has been instrumental in the validation and application of satellite data. PML and the AMT programme continue to be at the forefront of validation activities with recent projects funded by ESA to validate Copernicus Sentinel data products using highly accurate, traceable and independent measurements. |
| Title | Regional Arctic (north of ~50N) model NOC FRONTIER ARC36 NEMO-SI3 coupled sea ice-ocean model |
| Description | Regional Arctic (north of ~50N) model NOC FRONTIER ARC36 NEMO-SI3 is set up and tested at 1/36 deg. (~1.3 km) resolution, including stand-alone sea ice and coupled sea ice-ocean configurations. https://zenodo.org/record/6628486#.ZAn6fxP7RT4 |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | NOC FRONTIER ARC36 NEMO-SI3 coupled sea ice-ocean model simulates realistic linear kinematic features (LKFs) and opening of leads. LKFs and open water leads change significantly in response to variability in the wind forcing on sub-daily scales. Model provides a promising alternative for high resolution sea ice modelling and simulations up to a very short timescale. |
| Title | Sea ice types and provinces diagnostics method |
| Description | Python and Matlab diagnostics software to detect polynyas and different ice provinces (Marginal Ice Zone, pack ice, interior open water, etc.) in the model output and satellite data. The detection algorithm takes into account sea ice concentration, thickness and proximity to the coast and position/clustering of information grid cells inside ice zone. Code authors: Stefanie Rynders and Ben Barton (NOC). |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Allows classification of sea ice provinces in the variety of data and for the salt flux and dense water analysis. |
| URL | https://eprints.soton.ac.uk/428655/ |
| Title | Spectrophotometric pH in seawater |
| Description | A new instrument was developed for the spectrophotometric determination of seawater pH using the meta-cresol-purple dye (MCP). The automated system integrates a high precision burette, spectrophotometer and thermometer with a custom-built light source. Data reduction is performed with a custom script in R (r-project.org). The accuracy of the system is calculated as better than 0.003 pH units when compared with pH calculated from independent measurements of Alkalinity and Inorganic Carbon in seawater. |
| Type Of Material | Technology assay or reagent |
| Year Produced | 2018 |
| Provided To Others? | No |
| Impact | Automation ensures improved reliability, accuracy and precision with substantial efficiency improvement translating to reduced cost. Potential to get the whole carbonate system (TA, DIC, pH and pCO2) from a single sample. |
| Title | 10 Month simulation of the hydrodynamics of the Hardangerfjorden fjord in Norway |
| Description | Hourly simulation of hydrodynamic conditions in the Hardngerfjorden during 2013 using FVCOM. Two model domains were used, one covering the entire fjord and one focused on the central part of the fjord. The later one was used to study the distribution of organic matter generated by finfish farms in the region and the associated distribution of in-feed antiparasitic treatments. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | We have demonstrated that faecal pellets from separate finfish farms can interact beyond their assumed footprint for the finest fraction and that their dynamics have a strong impact on the distribution (in the water column and in the sedimented fraction) of antiparasitic treatments such as Diflubenzuron or Emamectin Benzoate |
| Title | 12 year coupled hydrodynamic-biogeochemical simulations of the UK Western Shelf and Southern North Sea with FVCOM-FABM-ERSEM (2005-2017) |
| Description | Daily averages of all biogeochemical variables resolved by ERSEM and hydrodynamic variables. The data corresponds to the original unstructured grid with 24 s-coordinate layers. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | The data from the model has been used on a range of activities including several EU projects. It has been used by students at the University of Plymouth for studying renewable energy resources. |
| URL | https://data.ecosystem-modelling.pml.ac.uk/thredds/catalog.html |
| Title | 16S rRNA gene V6 sequence data from station L4 in the Western English Channel, 2003 - 2008 |
| Description | Surface samples were collected between January 2003 and December 2008. For DNA analysis 5 L of seawater was filtered through a 0.22-µm pore Sterivex GP filter (Millipore) and stored at -80°C. Prokaryotic 16S rRNA gene fragments were amplified targeting the V6 region (68 bp) of the 16S rRNA gene with the with the bacterial forward 967F and reverse 1046R primer sets (Sogin et al., 2006). Barcode incorporation, library generation and 454-pyrosequencing using the GS-flx platform and LR70 kit was performed according to the method described by Huber and colleagues (2007) at the ICoMM Initiative laboratory at Woods Hole. Detailed protocols regarding sampling, extraction, amplification, and sequencing protocols are described by Gilbert et al. (2009). ASV tables were rarefied to the lowest sampling depth which was 2916 reads. The raw .fna sequence data are available at the NCBI under accession numbers SRA009436 but lack matching .qual files. We have therefore now uploaded the original non-rarefied OTU-sequence table to the British Oceanographic Data Centre (BODC) along with the relevant metadata. These data are available under the doi doi:10.5285/caeb879f-776a-2757-e053-6c86abc0efbb |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Finding that day-length (seasonality) is a key driver of marine microbial diversity. Led to a range of outcomes e.g. Ocean Sampling Day. OSD is a worldwide research campaign where marine biologists around the globe participate in sampling surface waters of the world's coastal areas. The campaign takes place yearly during the northern hemisphere's summer solstice (on or around June 21st). Data underpinning further research. |
| Title | A first approach to decipher the megabenthic trophic network in the Angolan cold-water coral mounds through stable isotope analysis |
| Description | The characterisation of trophic nets in the deep-sea is challenging due to the remoteness and the logistic constraints to reach and sample these habitats. Stable carbon and nitrogen isotope (d13C and d15N) analysis has proven to be a useful tool in identifying trophic relationships. The benthic trophic network of the fauna in the recently discovered Angolan cold-water coral (CWC) mounds is being investigated through carbon and nitrogen isotopic characterization. Samples were collected in 2016 during the M122 ("ANNA") expedition on board the R/V METEOR. Organisms belonging to different functional groups of Porifera, Cnidaria, Mollusca, Annelida, Bryozoa, Arthropoda, Echinodermata, and Chordata, as well as potential food sources (suspended particulate organic matter and organic matter of sediments) were analysed. The main aims of the study are: (1) to describe the megabenthic trophic guilds of the Angolan CWC mounds, (2) to estimate the total number of trophic levels, and (3) to compare this unexplored area with previous results from other CWC dominated communities. Our first results show that particulate organic matter presented a marine signature (d13C from -20 to -25‰ V.P.D.B.). However, the analysed CWC species seem to prefer a diet which combined a mix of detrital and resuspended organic matter (d13C from -15 to -20‰ V.P.D.B.), similar to what has been observed for Antarctic gorgonians and other CWC habitats. Porifera presented the highest d15N ratios (20.19±1.81‰). We hypothesise this could be due to the assimilation of bacterioplankton as a food source which has been already documented for Porifera. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Dataset available for further scientific analysis |
| URL | https://zenodo.org/record/5572480 |
| Title | A hydrodynamic model of Thoddoo Island, Maldives |
| Description | A hydrodyamic FVCOM model was applied in Thoddoo island, Maldives to simulate tidal circulation around the island. The model has relatively high spatial-resolution up to 10 m around the island and 2 km in the offshore. A particle tracking model has been simulated using the output of the FVCOM model to estimate water residence time around the coral fringe in the island. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | No |
| Impact | A new method and software to generate an unstructured mesh grid used here was implemented to support a creation of mesh-grid in other project. |
| Title | ACCORD FVCOM model output |
| Description | A hydrodynamic model of FVCOM in the Da Nang Bay, Vietnam has been further updated using a more recent open boundary of temperature and salinity from ACCORD NEMO model outputs. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | 1) The nesting or downscaling method used in this model is also being implemented in other project to simulate nitrogen pollution around a small island in Maldives 2) The model results in Da Nang Bay potentially will be used in other project to simulate particle/plastic trajectory and to investigate dynamics of ocean fronts in the similar area. |
| Title | ADCP and CTD dataset in the Plym estuary |
| Description | Two weeks dataset consisting of velocity profiles every 5 minutes and one minute dataset from a bottom moutned CTDf (salinity, temperature, depth and fluorescence) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | The data was processed and used to characterise the velocity magnitude during the concurrent deployment of a renewable energy prototype from WiTT energy ltd. The data were used to evaluate the performance of the device under different ambient velocities. |
| Title | ADCP and wirewalker deployments in Plymouth Sound 2021 |
| Description | Processed data from two bottom mounted ADCP and one wirewalker mooring in March/April 2021 for 2 weeks. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | The data have been used to validate an operational model for the region. |
| URL | https://plymouthmarineforecasts.org/Resources/MyCoast_model_technical_details.pdf |
| Title | ADCP deployments at L4 2020 |
| Description | Processed data of a bottom mounted ADCP between June-August and September-November |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The data contributes to the validation of operational hydrodynamic models of the UK and to the characterisation of the hydrodynamics at L4. |
| Title | ADRIFT implementation for Plymouth coastal area |
| Description | Implementation of a search and rescue model ADRIFT for the plymouth sound area |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Ongoing; engaging with stakeholders (RNLI and Coastguard) for use in SAR operations around Plymouth area |
| Title | AMM15 NEMO-ERSEM Configuration files |
| Description | Repository containing a set of scripts for producing the BGC setup for a NEMO-ERSEM simulation in the region. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Ensure reproducibility of model simulation |
| URL | https://github.com/dalepartridge/AMM15_BGC_setup |
| Title | AMM7 NEMO-ERSEM Configuration files |
| Description | Repository containing a set of scripts for producing the BGC setup for a NEMO-ERSEM simulation in the region. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Ensure reproducibility of model simulation |
| URL | https://github.com/dalepartridge/AMM7-NEMO4-FABM-setup |
| Title | AMT25 (JR15001) micro-molar nutrient measurements from CTD bottle samples. |
| Description | This dataset consists of 1148 measurements of micromolar nutrient concentrations made on samples collected during the Atlantic Meridional Transect programme cruise 25 (AMT25 JR15001) between 18th September and 2nd November 2015. The cruise track between UK and Chile passed through both north and south Atlantic gyres. This dataset contributes to the AMT time-series of core oceanographic measurements along a north-south transect of the Atlantic Ocean. Samples were collected on a daily basis at 10 to 18 depths, usually in the upper 500m but up to 5000m, using a CTD rosette with 24 x 20 L OTE (Ocean Test Equipment) bottles. Samples were analysed within 3-4 hours of collection for nitrate+nitrite, nitrite, phosphate and silicate using a 5-channel Bran and Luebbe AAIII segmented flow, colourimetric, auto-analyser (Brewer and Riley (1965) for nitrate, Grasshoff (1976) for nitrite, Kirkwood (1989) and Mantoura and Woodward (1983) for phosphate and silicate). Established, proven analytical protocols were used. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Nutrient data from the Atlantic Meridional Transect is freely available from the BODC website. |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/7c1ca6b7-90c1-0e11-e053-6c86abc... |
| Title | ASVs from A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns |
| Description | Unassigned ASV sequences |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/ASVs_from_A_17-year_time-series_of_fungal_environmental_DNA... |
| Title | ASVs from A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns |
| Description | Unassigned ASV sequences |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/ASVs_from_A_17-year_time-series_of_fungal_environmental_DNA... |
| Title | AURORA, A multi sensor dataset for robotic ocean exploration |
| Description | The current maturity of autonomous underwater vehicles (AUVs) has made their deployment practical and cost-effective, such that many scientific, industrial and military applications now include AUV operations. However, the logistical difficulties and high costs of operating at-sea are still critical limiting factors in further technology development, the benchmarking of new techniques and the reproducibility of research results. To overcome this problem, we present a freely available dataset suitable to test control, navigation, sensor processing algorithms and others tasks. This dataset combines AUV navigation data, side-scan sonar, multibeam echosounder data and seafloor camera image data, and associated sensor acquisition meta-data to provide a detailed characterisation of surveys carried out by the National Oceanography Centre (NOC) in the Greater Haig Fras Marine Conservazion Zone (MCZ) of the U.K in 2015. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Dataset is now being used by AUV engineering community to test new algorithms |
| URL | https://ieee-dataport.org/open-access/aurora-multi-sensor-dataset-robotic-ocean-exploration |
| Title | AURORA, A multi sensor dataset for robotic ocean exploration |
| Description | The current maturity of autonomous underwater vehicles (AUVs) has made their deployment practical and cost-effective, such that many scientific, industrial and military applications now include AUV operations. However, the logistical difficulties and high costs of operating at-sea are still critical limiting factors in further technology development, the benchmarking of new techniques and the reproducibility of research results. To overcome this problem, we present a freely available dataset suitable to test control, navigation, sensor processing algorithms and others tasks. This dataset combines AUV navigation data, side-scan sonar, multibeam echosounder data and seafloor camera image data, and associated sensor acquisition meta-data to provide a detailed characterisation of surveys carried out by the National Oceanography Centre (NOC) in the Greater Haig Fras Marine Conservazion Zone (MCZ) of the U.K in 2015. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Dataset is now used by the AUV engineering community to test algorithms |
| URL | https://ieee-dataport.org/open-access/aurora-multi-sensor-dataset-robotic-ocean-exploration |
| Title | Abundance of epibenthic fauna on a Deep-Sea Cliff offshore Greenland and the Associated Epibenthic Fauna |
| Description | Abundance data of the epibenthic fauna annotated on each photograph taken with the ROV Isis (NOC, UK) at a deep-sea wall located offshore the West coast of Greenland (Labrador Sea, [63°51.9'N, 53°16.9'W, depth: 703 to 803 m]). Abundances were standardized to 1 m² using the images' total area. Screenshots of the morphospecies are presented in the morphospecies guide pdf. These data were used to assess for differences in community composition analysis pooled in 20 m² samples defined according to high-resolution terrain abiotic clusters computed in an unsupervised way. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Dataset is one of the few deep-sea faunal datasets offshore Greenland |
| URL | https://doi.pangaea.de/10.1594/PANGAEA.946919 |
| Title | Abundance of microbial phytoplankton abundance through the water column during the AMT29/JR19001 cruise in 2019. |
| Description | This dataset contains depth profiles of the mean abundance of groups of plankton as cells per millilitre, measured using flow cytometry from research cruise AMT29 in October-November 2019. The groups quantified are divided into phytoplankton and heterotrophic bacteria. Phytoplankton groups quantified are: Synechococcus sp., Prochlorococcus sp. (cyanobacteria), picoeuakryotes (smaller than 2 µm), cryptophytes, coccolithophores, and nanoeukaryotes not already mentioned (2-20 µm). Heterotrophs quantified are: bacteria with relatively high nucleic acid content and bacteria with relatively low DNA. Samples were collected using a Seabird rosette sampler containing 20 L Niskin bottles and analysed within 3 hours of being taken. Bacteria were enumerated from all sample depths. Phytoplankton were analysed from all depths to a maximum of 200 m. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Only recently submitted to BODC |
| Title | Abundance of phytoplankton, heterotrophic nanoflagellates and bacteria through the water column at time series station L4 in the Western English Channel for 2020. |
| Description | This dataset contains depth profiles of the mean abundance of groups of plankton as cells per millilitre, measured using flow cytometry from the long-term sampling station, L4 (50°15.0'N; 4°13.0'W) situated off the south-west coast of England, United Kingdom. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Only just made available |
| Title | Abundance of phytoplankton, heterotrophic nanoflagellates and bacteria through the water column at time series station L4 in the Western English Channel, 2007-2017 |
| Description | This dataset contains depth profiles of the mean abundance of groups of plankton as cells per millilitre, measured using flow cytometry from the long-term sampling station, L4 (50°15.0'N; 4°13.0'W) situated off the south-west coast of England, United Kingdom. The groups quantified are divided into phytoplankton and heterotrophs. Phytoplankton groups quantified are: Synechococcus sp. (cyanobacteria), picoeuakryotes (smaller than 2 µm), cryptophytes, coccolithophores, small dinoflagellates (<20 µm), Phaeocystis sp. and nanoeukaryotes not already mentioned (2-20 µm). Heterotrophs quantified are: heterotrophic nanoflagellates, bacteria with relatively high nucleic acid content and bacteria with relatively low DNA. Samples were collected and analysed in duplicate (heterotrophs) or triplicate (phytoplankton) from 2 m, 10 m, 25 m and 50 m depth. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | None yet |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/908f84ec-d20c-7c88-e053-6c86abc... |
| Title | Algorithm to estimate Finite Time Lyapunov Exponents in python |
| Description | MyCoastLCS is a python package developped to perform Finite Time Lyupanov Exponent calculations and extract Lagrangian coherent structures. The code currently supports two lagrangian model outputs: LAGAR and PyLag but extension to other packages should be trivial. In addition to calculating FTLE following Shaddon 2005 it also estimates concentrations and residence times. The combination of all this aspects can results in qualitative water quality indicators. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | This code is being used to estimate water quality in bathing sites of the Plymouth Sound and for investigating potential accumulation of microplastics in UK and South East Asia locations. |
| URL | https://github.com/pmlmodelling/MyCoastLCS |
| Title | Atlantic Meridional Transect cruise AMT26 (JR16001) micro-molar nutrient measurements from CTD bottle samples collected in 2016 |
| Description | This dataset consists of measurements of micromolar nutrient concentrations made on samples collected during the Atlantic Meridional Transect programme cruise 26 (AMT26 JR16001) on the RRS James Clark Ross, between 24th September and 1st November 2016. The cruise track between UK and Port Stanley, Falkland Islands, passed through both north and south Atlantic gyres. This dataset contributes to the AMT time-series of core oceanographic measurements along a north-south transect of the Atlantic Ocean. Samples were collected on a daily basis at all sampled CTD depths (according to GO-SHIP protocols), usually from samples in the upper 500m, using a CTD rosette with 24 x 20L OTE (Ocean Test Equipment) bottles. Samples were analysed within 2-3 hours of collection for nitrate+nitrite, nitrite, phosphate and silicate using a 5-channel Bran and Luebbe AAIII segmented flow, colorimetric, auto-analyser (Brewer and Riley (1965) for nitrate, Grasshoff (1976) for nitrite, and Kirkwood (1989) for phosphate and silicate). Established, proven analytical protocols were used and clean sampling and handling techniques were employed. Certified Nutrient reference materials from KANSO Ltd, Japan (Batch BU), were used during the cruise to ensure good quality control and reliable analytical results. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Nutrient data from the Atlantic Meridional Transect is freely available from the BODC website. |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/82692b93-3bec-26da-e053-6c86abc... |
| Title | Atlantic Meridional Transect cruise AMT27 (DY084) micro-molar nutrient measurements from CTD bottle samples during 2017 |
| Description | This dataset consists of measurements of micromolar nutrient concentrations made on samples collected during the Atlantic Meridional Transect programme cruise 27 (AMT27 DY084) on the RRS Discovery, between 23rd September and 5th November 2017. The cruise track between UK and Port Stanley, Falkland Islands, passed through both north and south Atlantic gyres. This dataset contributes to the AMT time-series of core oceanographic measurements along a north-south transect of the Atlantic Ocean. Samples were collected on a daily basis at all sampled CTD's (Total of 77) and depths (according to GO-SHIP protocols), usually from samples in the upper 500m but with some CTD's to 5000m, using a CTD rosette with 24 x 20L OTE (Ocean Test Equipment) bottles. Samples were analysed within 2-3 hours of collection for nitrate+nitrite, nitrite, phosphate and silicate using a 5-channel Bran and Luebbe AAIII segmented flow, colorimetric, auto-analyser (Brewer and Riley (1965) for nitrate, Grasshoff (1976) for nitrite, and Kirkwood (1989) for phosphate and silicate). Established, proven analytical protocols were used and clean sampling and handling techniques were employed. Certified Nutrient reference materials from KANSO Ltd, Japan (Batch BU), were used during the cruise to ensure good quality control and reliable analytical results. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Nutrient data from the Atlantic Meridional Transect is freely available from the BODC website. |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/915141ee-46c9-4da1-e053-6c86abc... |
| Title | Atlantic Meridional Transect cruise AMT29 (DY110) in 2019, micro-molar nutrient measurements from CTD bottle samples. |
| Description | This dataset consists of measurements of micromolar nutrient concentrations made on samples collected during the Atlantic Meridional Transect programme cruise 29 (AMT29 DY110) on the RRS Discovery, between 16th October and 18th November 2019. The cruise track was between Southampton, UK and Punta Arenas, Chile, and passed through both north and south Atlantic gyres. This dataset contributes to the AMT time-series of core oceanographic measurements along a north-south transect of the Atlantic Ocean. Samples were collected twice daily at all sampled CTD's (Total of 55) at selected depths, usually from samples in the upper 500m for the early morning CTD, and down to a maximum depth of 5000m at the solar noon cast. A CTD rosette with 24 x 20L OTE (Ocean Test Equipment) bottles was deployed. Samples were taken and frozen immediately after collection and returned to Plymouth Marine Laboratory, UK, for later analysis. The analyses were for Nitrate+Nitrite, Nitrite, Phosphate, and Silicate, and the analyser was a SEAL Analytical AAIII segmented flow, colorimetric, auto-analyser (Analytical methods: Brewer and Riley (1965) for nitrate, Grasshoff (1976) for nitrite, and Kirkwood (1989) for phosphate and silicate). Established, proven analytical protocols were used and clean sampling and handling techniques were employed according to GO-SHIP protocols (Becker et al, 2020). Certified Nutrient reference materials from KANSO Ltd, Japan (Batch BU), were used during the analysis to ensure good quality control and reliable analytical results. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Data has been used in scientific publications. |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/b6a76b41-a606-47b9-e053-6c86abc... |
| Title | Automated classification tool for use with FlowCAM plankton imagery |
| Description | Code associated with the paper "T. Kerr, J. R. Clark, E. S. Fileman, C. E. Widdicombe and N. Pugeault, Collaborative deep learning models to handle class imbalance in FlowCam plankton imagery, in IEEE Access, doi: 10.1109/ACCESS.2020.3022242". Although functionality could be imported into another project, this was designed to be a command line tool that includes all functionality from processing FlowCam images to data clean up, training of deep learning models all to reporting the performance of different types of models. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | None so far. |
| URL | https://github.com/pmlmodelling/FlowCamClassification |
| Title | BLAST output from A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns |
| Description | BLAST matches for fungal ASVs |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/BLAST_output_from_A_17-year_time-series_of_fungal_environme... |
| Title | BLAST output from A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns |
| Description | BLAST matches for fungal ASVs |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/BLAST_output_from_A_17-year_time-series_of_fungal_environme... |
| Title | BODC- Dissolved inorganic nutrients from PAP cruise JC165 2018 |
| Description | This dataset contains dissolved inorganic nutrient data collected from CTD water bottle samples on the CLASS funded cruise JC165 in May and June 2018 around the PAP-SO site (49N 16.5W). The 115 water samples were frozen onboard and analysed using a SEAL Quattro at NOCS (Southampton) using standard autoanalyser methods for dissolved inorganic nutrients (nitrite, nitrate and nitrite, silicate, and phosphate). The initial analysis had to be re-done due to initial failure of the analyser. The samples were frozen again and kept in the dark then re-run, and final runs are in agreement with external certified reference materials (CRMs). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Hartman S.E.(2019). Seawater dissolved inorganic nutrients for Porcupine Abyssal Plain Sustained Observatory (PAP-SO) cruise JC165 in 2018. British Oceanographic Data Centre, National Oceanography Centre, NERC, UK. doi:10/c6j7 |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/8a2c7501-d781-48a6-e053-6c86abc... |
| Title | BODC- Seawater dissolved inorganic carbon and total alkalinity for Porcupine Abyssal Plain Sustained Observatory (PAP-SO) cruise JC165 2018 |
| Description | This dataset contains 52 measurements (mostly from CTD rosette, 21 from underway) of seawater dissolved inorganic carbon (DIC) and total alkalinity (TA) from the PAP-SO (49N 16.5W). The samples were collected during JC165 in May and June 2018, as part of CLASS in order to constrain the interior DIC and TA inventories. Measurements were carried out using VINDTA NOC (Southampton). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Hartman S.E.(2019). Seawater dissolved inorganic carbon and total alkalinity for Porcupine Abyssal Plain Sustained Observatory (PAP-SO) cruise JC165 2018. British Oceanographic Data Centre, National Oceanography Centre, NERC, UK. doi:10/c2m3. |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/7fa8421c-3c5e-2eed-e053-6c86abc... |
| Title | Basin scale biogeography of 16S rRNA (V4) and xoxF5 genes in the Atlantic Ocean |
| Description | Surface DNA samples from AMT19 (JC039) were used to determine the diversity of 16S and xoxF5 genes in surface waters of the Atlantic Ocean. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | The vast majority of xoxF5 sequences were derived from the Rhodobacterales order of bacteria and indicated little variability in the diversity of xoxF5 at the family taxonomic level between the different regions of the Atlantic Ocean (which primarily consisted of Rhodobacteraceae sequences dominated by Sagittula and Salipiger). However, there is still significant unknown xoxF5 diversity within the Rhodobacteraceae family, indicated by the large proportion of unassigned sequences at lower taxonomic levels. |
| Title | Broadscale Landscape Mapping Provides Insight into the Commonwealth of Dominica and Surrounding Islands Offshore Environment |
| Description | A lack of data hinders effective marine management strategies for developing island states. This is a particularly acute problem for the Commonwealth of Dominica. Here we use publicly available remote sensing and model data to map their relatively unstudied waters. Two study areas were selected; a smaller area focussing on the nearshore marine environment, and a larger area to capture broader spatial patterns and context. Three broadscale landscape maps were created, using geophysical and oceanographic data to classify the marine environment based on its abiotic characteristics. Principal component analysis (PCA) was performed on each area, followed by K-means clustering. The larger area PCA revealed three eigenvalues > 1, and one eigenvalue of 0.980. Therefore, two maps were created for this area, to assess the significance of including the fourth principal component (PC). We demonstrate that including too many PCs could lead to an increase in the confusion index of final output maps. Overall, the marine landscape maps were used to assess the spatial characteristics of the benthic environment and to identify priority areas for future high-resolution study. Through defining and analysing existing conditions and highlighting important natural areas in the Dominican waters, these study results can be incorporated into the Marine Spatial Planning process |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Dataset was basis for peer-reviewed publication by Wardell & Huvenne |
| URL | https://zenodo.org/record/6543617 |
| Title | CLASSnmat: monthly, global, gridded night marine air temperature data |
| Description | Climate Linked Atlantic Sector Science (CLASS)nmat is a global dataset of monthly mean night marine air temperature (NMAT) that is produced on a 5° latitude by 5° longitude regular grid and covers the period 1880 to 2019. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | This dataset will be used in the forthcoming Bulletin of the American Meteorological Society (BAMS) annual State of the Climate report for 2019 as a comparison against other global temperature datasets. |
| URL | https://catalogue.ceda.ac.uk/uuid/5bbf48b128bd488dbb10a56111feb36a |
| Title | CO module |
| Description | This is a module for ERSEM to simulate production and consumption processes of carbon monoxide (CO) in the marine environment |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | none yet |
| URL | https://gitlab.em.pml.ac.uk |
| Title | CO2 and N2O air-sea fluxes from the North Western European Shelf over the period 2000-2017 |
| Description | This is a model product providing air-sea fluxes of carbon dioxide and nitrous oxide from the North Western European Shelf over the period 2000-2017 |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | this product will be used by colleague to improve their inversion modelling of CO2 and N2O fluxes and therefore contribute in reducing the uncertainty in the accountancy of greenhouse gases from UK |
| Title | CPR interactive tool |
| Description | The CPR database team have produced an interactive online tool for visualising the CPR data |
| Type Of Material | Data handling & control |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | The ability to interact with the CPR database online has aided the ability for external researchers to find CPR data. |
| Title | Combined MIZ and pack sea ice rheology model |
| Description | The model includes the implemented combined granular rheology of Marginal Ice Zone sea ice and pack sea ice rheology. Model accounts for the impacts of sea ice fragmentation by waves on sea ice rheology and dynamics (floe size distribution is one of the prognostic parameters). The model has been developed at the National Oceanography Centre by Drs Stefanie Rynders and Yevgeny Aksenov and has been included in the coupled and forced ocean-sea ice-waves NEMO(v3.6/v4.0+)-CICE5-ECMWF-WAM/WW3 configurations. It is made freely available through the UK NERC/UKMO Joint Sea Ice Modelling Programme and is widely used by the UK research community. https://eprints.soton.ac.uk/428655/; https://eprints.soton.ac.uk/428658/ |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Improved sea ice rheology which include granular behaviour of sea ice in the Marginal Ice Zones (MIZ) to be used in the next generation climate models. |
| URL | https://link.springer.com/chapter/10.1007/978-3-030-80439-8_13 |
| Title | Connecting PLUME model to FVCOM |
| Description | Connected a previously developed model for multiphase bubble / droplet particle plume dynamics to FVCOM. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | No |
| Impact | This will be connected to ERSEM to provide source terms for dissolved chemicals to make a fully functioning multi-phase hydrodynamic and ecosystem model for pollutant leakage, applicable to CCS, Oil and Gas amongst others. Paper is in review. |
| Title | Coupled wave-sea ice-ocean global model |
| Description | A fully coupled global ocean-sea ice-waves model has been developed for the model configuration NEMOv3.6-CICE5-WW3. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Improved predictions of the ocean and sea state in the ice covered areas, with applications for climate, forecasting, off-shore safety and marine industries. |
| URL | https://doi.org/10.1007/978-3-030-80439-8_12 |
| Title | Coupling MEDUSA with ERSEM benthic modules |
| Description | Incorporation of MEDUSA in FABM framework led to certain degree of modularisation of its code, which allowed to test coupling of its pelagic component with ERSEM benthic modules. The coupled configuration was tested in a global NEMO-FABM-MEDUSA setup (ORCA2). The benefit of coupling is that the lightweight of MEDUSA code suitable for global simulations is combined with considerably more detailed than the default benthic zone description from ERSEM, which will benefit future simulations at a higher resolution and allow better estimates of contribution of shallow areas within the Earth system. Configuration file for MEDUSA (pelagic)-ERSEM (benthic) system is available on PML gitlab server. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | No impacts so far. |
| URL | http://gitlab.ecosystem-modelling.pml.ac.uk |
| Title | DMSP/DMS model developmets |
| Description | The DMSP/DMS model published in 2012 (Polimene at al 2012) was modified extending DMSP production to all the functional types described in the ERSEM model. The model was implemented at L4 station in the Western English Channel and simulation were qualitatively compared with available literature data (Archer et al 2009) |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | This exercise provided a preliminary assessment of model capability to simulate DMSP dynamics in a coastal area |
| Title | DOC simulations at BATS |
| Description | Simulations of dissolved organic carbon (DOC) have been carried out in the Sargasso Sea (BATS station). Model simulation have been compared with available data |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | The aim of this exercise is to evaluate the capability of the ERSEM model to simulate DOC production and transformation with particular emphasis on recalcitrant DOC production and microbial carbon sequestration. This exercise could lead to a re-parameterization and recalibration of the ERSEM model potentially improving its capability to simulate important aspects of the marine carbon cycle (e.g. DOC production, consumption and transformation) |
| Title | DY103 Cruise Report, RRS Discovery, PAP (Hartman) |
| Description | To study the oceanic water column and the underlying seabed change, on a variety of temporal and spatial scales. The objective of the Porcupine Abyssal Plain Sustained observatory is to provide high temporal resolution (hours) of an increasing number of variables which are relevant from the perspective of the biology, physics and chemistry over a relatively small spatial scale (30 km). The site has been under examination since 1985 and during that time, substantial changes have been observed in the benthic environment. The intention is to sustain and enhance these observations in order that a deeper understanding is obtained of the processes which operate; in particular the responses to the changes which are currently taking place in the global environment. The objective of the cruise was primarily to service the infrastructure required for continuous sustained observation, and to put these into context using observations from the ship which as yet cannot be carried out autonomously. In parallel to maintaining and extending exisiting measurements, the over view was enhanced by parallel research into the abundance and distribution of seafloor life in relation to incoming food flux. These investigations were carried out using a multi-instrument observational approach combined with direct sampling. The cruise achieved sampling of the abyssal plain seabed and its fauna via coring, trawling, and baited traps, and left in place a time-lapse camera system for extended (1-year) seafloor observation. In addition, we deployed an ADCP and sediment trap mooring in a central branch of Whittard Canyon on behalf of a partner NOC NERC-funded CLASS project component (NOC lead Drs V. Huvenne & M. Clare). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Cruise Report https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/dy103.pdf |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/17223/ |
| Title | DY108 (DY109) Cruise Report- RRS Discovery, Darwin Mounds (Huvenne) |
| Description | The cruise discussed in this document is a combination of three expeditions with largely related aims: the CLASS programme, (Climate Linked Atlantic Sector Science) NERC's Long-Term Single Sector programme for marine research. The project aims to increase our understanding of how the ocean will evolve under a changing climate and increased human exploitation, with the objective to support sustainable marine management. More specifically, the work during DY108-109 consisted of the re-survey of the Darwin Mounds Marine Protected Area, The Darwin Mounds are small (~75m across, max 5 m high) cold-water coral mounds that were protected from bottom contact fisheries in 2003. The mounds were initially discovered in 1998, and further surveys took place in 2000 and 2011. The aim of the expedition was to identify and quantify any potential changes to the habitats and benthic communities in the area over the last 20 years. On our way out to the Darwin Mounds, we also aimed to pick up a lander from the Scottish Association for Marine Science (SAMS), and deploy a replacement system. This work is also part of the CLASS programme, and fits into the long-term oceanographic monitoring of the so-called "Ellet Line". Unfortunately neither the pick-up or deployment were successful. BioCAM: This cruise demonstrated technology currently being developed under the NERC OCEANIDS program (BioCam NE/P020887/1: 2017~2021) to generate wide area (~100ha) 3D visual reconstructions (imagery and seafloor topography) from which the distribution of live coral can be determined. The survey was performed using the Autonomous Underwater Vehicle (AUV) Autosub6000 equipped with the 3D visual mapping instrument "SeaXerocks 4" (NE/P020887/1). This takes downward looking stereo imagery and laser bathymetry of the seafloor from an altitude of ~6m. Two full coverage mosaics of ~25ha were collected during this expedition. BLT-Recipes project: BLT Recipes seeks to test an emergent new paradigm of ocean mixing, whereby deep-ocean upwelling is primarily driven by bottom boundary layer turbulence instead of by breaking internal waves in the ocean interior - as has been held over the last four decades. The deep-ocean basin in which the experiment will be conducted is the Rockall Trough (RT), in the Northeast Atlantic. The sea-going activities for this project are mainly planned from summer 2020 onwards, but during DY108-109 two 24h yoyo CTD deployments were carried out to provide important background information for cruise planning. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Cruise Report https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/dy108.pdf |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/17228/ |
| Title | DY110 Cruise Report, RRS Discovery, AMT29 (Dall'Olmo) |
| Description | The overall aim of the Atlantic Meridional Transect programme is: to quantify key biogeochemical and ecosystem processes and their inherent variability over extended time and spatial scales in the Atlantic Ocean. This is achieved by executing an annually repeated meridional transect through contrasting oceanic provinces, ranging from oligotrophic deserts, to highly productive shelf seas. The specific objectives of AMT are: - To quantify the nature and causes of ecological and biogeochemical variability in planktonic ecosystems; - To quantify the effects of this variability on nutrient cycling, on biogenic export and on air-sea exchange of climate active gases; - To construct multi-decadal, multidisciplinary ocean time-series which are integrated within a wider "Pole-to-pole" observatory concept; - To provide essential sea-truth validation for current and next generation satellite missions; - To provide essential data for global ecosystem model development and validation; - To provide a valuable, highly sought after and unique training arena for the next generation of UK and International oceanographers. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Cruise Report |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/17230/ |
| Title | DY116- RRS Discovery PAP-SO, Whittard Canyon (A.Gates) |
| Description | The aim of the RRS Discovery cruise 116 (DY116) to the PAP-SO was to service moorings at the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) and Whittard Canyon following the postponement of the cruise earlier in 2020 owning to the Covid-19 pandemic. The PAP-SO is a component of the UK Research and Innovation National Capability Long-term Single Centre Science Programme, "Climate Linked Atlantic Sector Science" (CLASS). At this open-ocean time-series site in the Northeast Atlantic (49.0°N 16.5°W, 4850 m water depth) studies are made on ocean-atmosphere interactions and pelagic-benthic coupling using a range of mooring systems and direct sampling approaches. Like Smart Bay in Galway, PAP-SO is an EMSO site. A future NERC CLASS cruise will focus on the Whittard Canyon (expected 2021/22, delayed from 2020 by Covid-19) and will have direct participation by an Irish science team (National University of Ireland Galway). Preparation for that work includes a mooring in the eastern branch of Whittard Canyon (Irish EEZ) deployed in 2019 (RRS Discovery Cruise 103, http://nora.nerc.ac.uk/id/eprint/525366/) and replaced on DY116. The specific objectives of DY116 were: Whittard Canyon (Irish EEZ): 1. Recovery of Whittard Canyon mooring (sediment trap, ADCP and CTD sensors) 2. CTD for testing release for new mooring 3. Deployment of replacement sediment trap mooring at Whittard Canyon PAP-SO (International waters): 1. Recovery of sediment trap mooring at PAP-SO 2. Recovery of deep-sea time-lapse camera at PAP-SO 3. Recovery of Met Office/NOC mooring with surface buoy 4. Deployment of sediment trap and sensors at PAP-SO 5. Deployment of new Met Office buoy with surface ocean biogeochemistry sensors at PAP-SO 6. Other associated CTDs at PAP-SO 7. Deployment of Met Office BGC Argo float (Euro Argo) at PAP-SO |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Cruise Report |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/17695/ |
| Title | DY120- RRS Discovery Ellet Array (S. Cunningham) |
| Description | This cruise is a contribution to the international Overturning in the Subpolar North Atlantic Programme (OSNAP) and NC LTSS. This cruise is for mooring recovery and re-deployment in the Iceland Basin and Rockall Trough, funded through the NC LTSS, the UK-OSNAP-Ext proposal, and a UK-OSNAP follow-on proposal. The following moorings were recovered and redeployed: Iceland Basin, 3 moorings IB3, IB4, IB5 (OSNAP), Rockall Trough, 3 moorings (RTWB1, RTWB2, RTEB1) and the deployment of an ADCP lander (RHADCP1) (The Ellett Array) and a Darwin Mounds mooring. Calibration CTDs were conducted before and after each mooring deployment. A CTD section from the IB3 position to the Scottish continental shelf was also made. The OSNAP array deployed since July 2014 is purposefully designed to provide a continuous record of the full-water column, trans-basin fluxes of heat, mass and freshwater in the subpolar North Atlantic, on a section from Newfoundland to Greenland to Scotland. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Crusie Report |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/dy120.pdf |
| Title | DY130 RRS Discovery PAP-SO - Susan E Hartman (NOC) 2021 |
| Description | The aim of the RRS Discovery cruise 130 (DY130) to the PAP-SO was to service moorings at the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) and Whittard Canyon. This cruise, including both the operations at the Porcupine Abyssal Plain Sustained Observatory and within the Whittard Canyon, forms part of the UK Natural Environment Council's "Climate Linked Atlantic Sector Science" (CLASS) project (https://projects.noc.ac.uk/class-project/sustained-ocean-observations), managed by the National Oceanography Centre (NOC). At the PAP-SO open-ocean time-series site in the Northeast Atlantic (49.0 °N 16.5 °W, 4850 m water depth) studies are made on ocean-atmosphere interactions and pelagic-benthic coupling using a range of mooring systems and direct sampling approaches. Like Smart Bay in Galway, PAP-SO is an EMSO site. A future NERC CLASS cruise will focus on the Whittard Canyon (expected 2021/22, delayed from 2020 by Covid-19) and will have direct participation by an Irish science team (National University of Ireland Galway). Preparation for that work includes a mooring in the eastern branch of Whittard Canyon (Irish EEZ) deployed in 2019 (RRS Discovery Cruise 103, http://nora.nerc.ac.uk/id/eprint/525366/) and replaced on both DY116 and DY130. The specific objectives of DY130 were: Whittard Canyon (Irish EEZ): 1. Recovery of Whittard Canyon mooring (sediment trap, ADCP and CTD sensors) 2. CTD for testing release for new mooring 3. Deployment of replacement sediment trap mooring at Whittard Canyon PAP-SO (International waters): 4. Recovery of sediment trap mooring at PAP-SO 5. Recovery of Met Office/NOC mooring with surface buoy 6. Deployment of sediment trap and sensors at PAP-SO 7. Deployment of new Met Office buoy with surface ocean biogeochemistry sensors at PAP-SO 8. Deployment of 3 gliders at PAP-SO 9. Photography of the seabed using an ROV (HyBIS) 10. Megacore sampling of the seabed 11. Short Agassiz trawls 12. WP2 zooplankton nets 13. Other associated CTDs at PAP-SO and in an eddy to the east of PAP-SO 14. Deployment of Met Office BGC Argo float (Euro Argo) in an eddy to the east of PAP-SO |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Cruise Report |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/17778/ |
| Title | DY157 AMT 30 RSS Discovery Cruise Report 2023 (Rees) |
| Description | The overall aim of the Atlantic Meridional Transect programme is: to quantify key biogeochemical and ecosystem processes and their inherent variability over extended time and spatial scales in the Atlantic Ocean. This is achieved by executing an annually repeated meridional transect through contrasting oceanic provinces, ranging from oligotrophic deserts, to highly productive shelf seas. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Continuation of time series |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/dy157.pdf |
| Title | Data for: A generalised volumetric method to estimate the biomass of photographically surveyed benthic megafauna |
| Description | Standing stocks of biomass and biovolume as directly and indirectly estimated from photographs using a length-weight relationship (LWR) approach and a generalised volumetric method (GVM). The datasets correspond to: - the fresh trawl-caught specimens from the Porcupine Abyssal Plain Sustained Observatory (PAP-SO; 4850m water depth, northeast Atlantic); - the case study of benthic ecology based on a large photographic dataset derived from AUV surveys on the Celtic Shelf (100 m water depth, northeast Atlantic); - the inter-operator variation assessment of biomass and biovolume estimation using the LWR method and the GVM. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| URL | https://data.mendeley.com/datasets/zpjxmjdb2z |
| Title | Data for: A generalised volumetric method to estimate the biomass of photographically surveyed benthic megafauna |
| Description | Standing stocks of biomass and biovolume as directly and indirectly estimated from photographs using a length-weight relationship (LWR) approach and a generalised volumetric method (GVM). The datasets correspond to: - the fresh trawl-caught specimens from the Porcupine Abyssal Plain Sustained Observatory (PAP-SO; 4850m water depth, northeast Atlantic); - the case study of benthic ecology based on a large photographic dataset derived from AUV surveys on the Celtic Shelf (100 m water depth, northeast Atlantic); - the inter-operator variation assessment of biomass and biovolume estimation using the LWR method and the GVM. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| URL | https://data.mendeley.com/datasets/zpjxmjdb2z/1 |
| Title | Data from PAP at BODC. PAP Near real-time data is sent to Oceansites. From oceansites, it's picked up by Copernicus. |
| Description | All bio-geo-chemical and sample data from PAP to date is held at BODC and accessible from this database: https://www.bodc.ac.uk/data/bodc_database/nodb/data_collection/5912/ |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | All data now easier to access directly from BODC |
| URL | https://www.bodc.ac.uk/data/bodc_database/nodb/data_collection/5912/ |
| Title | Dataset on satellite derived Arctic sea ice thickness from Landy, J. C., Bouffard, J., Wilson, C., Rynders, S., Aksenov, Y., & Tsamados, M. (2022). Mapping Arctic Sea Ice thickness: A new method |
| Description | 2. Dataset on satellite derived Arctic sea ice thickness derived from Landy, J. C., Bouffard, J., Wilson, C., Rynders, S., Aksenov, Y., & Tsamados, M. (2022). Mapping Arctic Sea Ice thickness: A new method for improved ice freeboard retrieval from satellite altimetry are developed for the period 2010-2020. Authorea Preprints. https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01613; https://www.authorea.com/doi/full/10.1002/essoar.10506919.2 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | For the first time Arctic sea ice thickness has been obtained from the satellite retrievals for the whole year, and dataset for 2010-2020 were created. Tn is a major data source for the climate research and for improving operational forecast for shipping safety in the Arctic. |
| Title | Dissolved inorganic carbon (DIC) and total alkalinity (TA) collected from CTD casts 3 and 10 on cruise JC231, May 2022, to the Porcupine Abyssal Plain Sustained Observatory (PAP-SO). |
| Description | The dataset comprises DIC and TA from discrete water samples collected by CTD rosette onboard RRS James Cook (JC231) in May 2022. The samples were collected for quality check of retrieved (CTD cast 3) and newly deployed (CTD cast 10) pCO2 sensors on the PAP1 mooring in the Northeast Atlantic Ocean. The data were generated under the Climate Linked Atlantic Sector Science (CLASS) project funded by the Natural Environmental Research Council (NERC). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Continuation of time series. |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/0f275498-29fb-78af-e063-6c86abc... |
| Title | Dissolved oxygen concentration at 1m on the PAP1 mooring measured with an Aanderraa optode sensor from the Porcupine Abyssal Plain - Sustained Observatory (PAP-SO) (~49N, 16.5W) deployed on JC247 12 May 2023 to 31st August 2023. |
| Description | Dissolved oxygen data (~1m depth on the Met Office (MO) Mobilis buoy keel) collected at the Porcupine Abyssal Plain - Sustained Observatory (PAP-SO) (49N, 16.5W) in the North East Atlantic ocean. Data were collected from 18:00 12th May 2023 (deployed on JC247) to 17:00 31 Aug 2023 as part of the CLASS project using an Aanderraa 4330 Optode (SN1279) with AML UV light used for the first time at PAP to reduce biofouling. Data has been processed assuming a constant salinity of 35.5. This concatenated file was generated by PAP_BuoyHub_proc21.c version 1.20. This dataset was collected and generated by scientists at the National Oceanography Centre, Southampton, UK. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | only recently added so no impact yet |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/10f38334-66af-3216-e063-6c86abc... |
| Title | ERSEM (22.11 release) |
| Description | ERSEM is a marine biogeochemical and ecosystem model. It describes the cycling of carbon, nitrogen, phosphorus, silicon, oxygen and iron through the lower trophic level pelagic and benthic ecosystems. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The 2022 release has had 728 views and 43 downloads, with ~300 users worldwide. Alongside this we provide code and tutorials for 0D, 1D GOTM or NEMO, 3D FVCOM idealized estuarine model, 3D NEMO-AMM7, along with a python front end. Approx. 20 papers and 20 CR projects are support by ERSEM per year. For example, this enabled us to create the first Global Scale ¼ degree simulation of ERSEM. We successfully completed simulations of the historical period (1970-2015) and the SSP1-2.6 and SSP3-7.0 future scenarios (2015-2070) using atmospheric forcing from the CMIP6 CNRM-CM6-1-HR Earth System Model. In terms of our model suite, ongoing developments have been made to the netCDF analysis package nctoolkit. A paper was published in 2023 summarizing the package: Wilson et al., (2023). nctoolkit: A Python package for netCDF analysis and post-processing. Journal of Open Source Software, 8(88), 5494, https://doi.org/10.21105/joss.0549 and we have developed a new Python package, ecoval, which provides a fully automated system for validating ecosystem models such as NEMO-ERSEM on the north-west European Shelf and globally. This is currently in use in Plymouth Marine Laboratory and will be made publicly available in 2024. We have also developed a new Python implementation of GETM model, as a quick 3D testbed for analysis and calibration of model formulations and parameterisations that allows for more realism than 1D setups while avoiding complexity of full-scale 3D (NEMO) setups. The current testcase comprises flexible coarse-resolution North Sea ERSEM setup (~11 km spatial resolution), which has been used for testing a range of model assumptions (POC degradation rates, benthic denitrification rates, diatom growth rates etc). Implementation of TMM (transport matrix method) based modelling system allows us to perform rapid global biogeochemical simulations, which we intend to apply to study global carbon fluxes in addition to ERSEM and FABM-MEDUSA setups coupled to NEMO. A new plankton model approach has been developed (joint with Cardiff University) that supports advances in 'omics and physiological understanding of plankton physiology and behaviour. This provides a tractable platform for modelling the changes in plankton biodiversity that underpin climate change driven biogeochemistry |
| URL | https://ersem.readthedocs.io/en/latest/ |
| Title | ERSEM 22.11 |
| Description | New release of European Regional Seas Ecosystem Model (ERSEM) v22.11 New in this version: Added pelagic denitrification following Sankar et al (2016). Parameterisation of pelagic production and air-sea exchange of nitrous oxide following Lessin et al (2020)(https://doi.org/10.1029/2019JG005613). Added first-order kinetics capability to the pelagic base module. Units of total alkalinity and bioalkalinity have been changed from umol/kg to mmol/m3. Extended documentation with new and updated tutorials. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Not yet |
| URL | https://zenodo.org/record/7300564#.ZA7q3tLP2EI |
| Title | European Regional Seas Ecosystem Model 19.04 |
| Description | ERSEM is an ecosystem model of marine biogeochemistry and the lower trophic levels of the marine food-web. It is used in a wide variety of projects funded by NERC, Defra, the Copernicus Marine Environment Monitoring Service, and the EU Horizons 2020 program, among others. Changes in ERSEM 19.04 New functionality • provide pH on total scale (seawater scale is still supported, but not the default) • new module for fluff (particulate matter at sediment-water interface) • many more diagnostics, sufficient to completely reconstruct C,N,P flows throughout the ecosystem • benthic bacteria now support arbitrary numbers of substrates • first-order temperature-dependent mineralisation of benthic POM (default: off) • configurable critical shear threshold for deposition at bed (default: as before) • no_river_dilution is configurable for all pelagic variables Changed behaviour • apply resuspension to the surface concentration rather than the column total of benthic POM. This prevents excessive resuspension at high bottom shear stress • disabled river dilution of yellow matter (light_iop_ady) Fixes • temperature dependence of air-sea oxygen exchange • bacteria dynamics for sR1 values other than 1 • temperature responses under very low temperatures • various fixes for numerical stability (e.g., rate dampening) • various fixes to prevent NaNs (e.g., avoid 0/0) for very rare combinations of state and environment |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | The release was announced to over 200 registered ERSEM users on 1 May 2019. It was directly taken up by a variety of projects, including the UK MetOffice operational system that delivers forecasts for marine waters over the North-West European Shelf to the Copernicus Marine Environment Monitoring Service. |
| URL | https://www.pml.ac.uk/Modelling_at_PML/Access_Code |
| Title | FABM-MIZER code |
| Description | Code to run the FABM-MIZER model online with two way coupling with a lower trophic level model (i.e ERSEM) and as an offline model, taking inputs from a previously run lower trophic level model. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Used to run two-way coupled NEMO-FABM-ERSEM-MIZER simulation |
| URL | https://github.com/pmlmodelling/fabm-mizer |
| Title | FVCOM-FABM coupler |
| Description | We have updated the PML-maintained biogeochemical coupler (FVCOM-FABM) of the 3D hydrodynamic model FVCOM to support more varied biogeochemical model configurations, including SPM interactions and depth-integrated fish stocks as well as online and offline simulations. New functionality is designed to integrate with existing biogeochemical models in FABM, including ERSEM. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Used by various partners including the NOC, Marine Scotland, NIVA in projects funded by e.g. CMEMS, NERC and Defra. |
| URL | https://www.pml.ac.uk/Modelling_at_PML/Access_Code |
| Title | FVCOM-FABM coupler update |
| Description | We have updated the PML-maintained biogeochemical coupler (FVCOM-FABM) of the 3D hydrodynamic model FVCOM to support the newer FVCOM version (v4.4) and to combine FABM and SPM offline simulations. We have updated the coupler to conform to the latest FABM release. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Used by various partners including the NOC, Marine Scotland, NIVA, AKvaplan, SKALEC, GERL, in projects funded by e.g. EC, CMEMS, NERC and Defra. |
| URL | https://github.com/UK-FVCOM-Usergroup/uk-fvcom/tree/FVCOM-FABM |
| Title | FVCOM-FABM-ERSEM-UniDOM coupled models in the Conwy estuary |
| Description | We have produced a set of simulations that resolves transport and turnover of terrestrial dissolved organic matter, as well as coastal ecosystem dynamics in the Conwy estuary and continental shelf. The 3D model is a novel implementation of offline coupling between FVCOM, FABM, ERSEM and UniDOM models. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | The offline coupling method for FVCOM-FABM-ERSEM significantly reduces computational time by up to 6 times compared to the online coupling. This offline coupling has been implemented successfully in other model domains and project to support a more effective computational time of high-resolution coupled-model simulations. The model results in the Conwy help to explain processes controlling the turnover of terrestrial dissolved organic mater in the estuary and shelf, as well as the impact to the carbon cycle in those areas. |
| Title | Fieldwork campaign to understand the circulation and pCO2 distribution in Weymouth Bay, UK. |
| Description | Between 22nd of September and 9th October we deployed and recovered 2 coastal moorings equipped with two bottom mounted current meters (ADCP) and water profiling systems (wirewalkers with conductivity, temperature and depth or CTD sensors), performed 11 drifter deployments, completed 50 vertical water column profiles on 7 transects and undertook 11 surface only transects. The field work covered the dominant hydrodynamic tidal cycle of spring-neaps and a broad range of wind and wave conditions including the passage of storm Agnes (28-29 September). This ensures we can test the hydrodynamic model against a sufficiently broad range of conditions. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | PML planned and executed a 2-week fieldwork in Weymouth Bay with the aim of understanding the movement of seawater that is discharged from a mCDR plant. Specifically, the collected data will be used for assessing modelling capabilities. With the data collected we gained valuable information on the local ocean currents and the physical structure of the ocean; spatial background patterns in pH and tested a novel instrument to measure/monitor natural variability in surface seawater CO2 levels. These data will ultimately facilitate an understanding of the accuracy of model-based estimates of atmospheric CO2 removal. |
| Title | GOTM-ERSEM configuration files and model data for Stations L4 and CCS |
| Description | GOTM-ERSEM configuration files and model data for Stations L4 and CCS used in the publication "Sensitivity of Shelf Sea Marine Ecosystems to Temporal Resolution of Meteorological Forcing" |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | As result of publication, was contacted by researcher from BBC Planet EARTH III looking for information on oceans and weather. |
| URL | https://zenodo.org/record/3712237#.YEEK1mj7TD5 |
| Title | GOTM-ERSEM implementation in the Laptev sea |
| Description | A new model formulation describing terrigenous DOC (TDOC) dynamics has been implemented in the ERSEM model. Following Anderson et al (2019) TDOC is modelled through 2 state variables, photo-labile and non-photo-labile TDOC. ERSEM+TDOC has been coupled with the General Ocean Turbulence Model (GOTM) and implemented in the Laptev Sea. The model was run with 3 different TDOC inputs (current TDOC conc., +30% and +50%) to have a preliminary assessment on how increasing TDOC discharge (permafrost melting) might affect marine ecosystem during the productive season (June-September). Year 2012 has been taken as example. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | Model simulations suggest that increased TDOC discharge has the potential to remarkably affect the planktonic ecosystem by: 1) enhancing light limitation, 2) reducing primary production, 3) increasing bacterial production and respiration and 4) making the water column a source of CO2 for the atmosphere all through the year. These results will inform future 3-dimensional modelling works investigating the effect of TDOC on the arctic planktonic ecosystem. |
| Title | GOTM-ERSEM with DMSP at L4 |
| Description | GOTM-ERSEM with the addition of DMSP dynamics is run at L4. Simulated DMSP and DMS are compared with published observational data from 2003-2004, 2014 and 2016. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | To evaluate the capability of ERSEM to simulate DMSP dynamics at L4 |
| Title | Global NEMO ocean simulations |
| Description | Global simulations with the NEMO ocean model at a range of resolutions, including the MEDUSA biogeochemical model, have been undertaken and provide a key resource for CLASS. In addition, CLASS is providing effort to develop the NEMO model and ensure this remains a world-leading model. Co-funding for NEMO development is provided through the EU IMMERSE project. This enables us to form a critical partnership with the UK Met Office and to participate in the international development of NEMO. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | The NEMO ocean model (developed internationally with the participation of NOC through the CLASS project and others) provides a key component of many of the world's leading climate models. This has been critical in providing advice to Governments about climate change through the CMIP and AR exercises (CMIP5 and now CMIP6). |
| URL | https://www.nemo-ocean.eu |
| Title | Global SEM coccolithophore abundance compilation |
| Description | Coccolithophores are globally important marine calcifying phytoplankton. They contribute to the organic carbon pump through the primary production and the ballast of organic matter, and to the carbonate pump through the production of calcium carbonate. Here we compiled all available scanning electron microscopy (SEM) coccolithophore abundance observations. Taxa were standardized following NannoTax3 to a species level where possible. Subspecies (e.a. C. leptoporus subsp. leptoporus and C. leptoporus subsp. quadriperforatus) were grouped as single species. The database contains 2556 abundance observations from 35 different publications. The data span the period of 1993-2017, with observations from all ocean basins and all seasons, and at depths ranging from the surface to 5000 m. We limited our compilation to SEM observations (or observations which further identified samples with SEM) because SEM provides greater detail of coccolithophore diversity than more commonly used polarized light microscopy. Although this limits the number of observations, this allows for a more in-depth analysis of coccolithophore ecology, such as the ecological significance of the coccolithophore life cycle. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | https://doi.pangaea.de/10.1594/PANGAEA.922933 |
| Title | Gridded model output of the UK South West and English Channel |
| Description | Hourly model outputs on a regular gridded mesh of hydrodynamic variables (temperature, salinity, currents, surface elevation) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | The data are updated daily and have been used in the operational forecasting of HAB events as well as in teaching by the University of Plymouth during its field work in the Isles of Scilly. |
| URL | https://data.ecosystem-modelling.pml.ac.uk/thredds/catalog/mycoast-all-files/Model/CHANNEL_FORECAST_... |
| Title | Hydrodynamic and ecosystem coupled models in Vietnam Seas |
| Description | A set of coupled circulation and ecosystem simulations in Vietnam Seas was produced using FVCOM-FABM-ERSEM models with spatial resolution up to 50-100 meters along the coast. The model reasonably reproduced monthly seasonal circulation and biochemical cycles in the central and northern Vietnam seas, particularly around Danang Bay area. A brief report about the model implementation and results have been produced and contributed to the final report of the ACCORD project. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | The model results have been used to simulate a particle tracking model of micro-plastic in other research project. The model output was also used to design a new international research proposal that investigate anthropogenic pressures in sensitive coastal environment. |
| Title | Hydrodynamic model of FVCOM in coastal waters of Vietnam |
| Description | A FVCOM hydrodynamic model of the coastal waters of Vietnam has been run and updated using tidal forcing, surface atmospheric forcing from ERA5, and open boundary from NEMO model outputs. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | The hydrodynamic outputs from this model are needed to simulate water quality around Da Nang bay. The model is also being used to design new proposals in the region to investigate the impacts of plastic pollution in the coastal area. |
| Title | Hydrographic data from RRS James Cook Cruise JC191 |
| Description | CTD and Bottle data from GO-SHIP line A05. Research Cruise JC191 on RRS James Cook, 2020-01-19 to 2020-03-01 . Chief Scientist: A Sanchez-Franks |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Contribution to GO-SHIP decdal survey of the global oceans to determine changes on decadal timescales. Data included in global syntheses and assessments. |
| URL | https://cchdo.ucsd.edu/cruise/740H20200119 |
| Title | Hydrographic section data (dissolved inorganic nutrients, dissolved inorganic carbon and total alkalinity) from AR30-04 from the Eastern Boundary array (Rockall Trough), as part of UK OSNAP (Overturning in the Subpolar North Atlantic Programme). |
| Description | The dataset consists of water samples collected in the Rockall Trough along the Extended Ellett Line using the lowered rosette during cruise AR30-04 in July 2018. Samples were analysed for dissolved inorganic carbon, total alkalinity, nitrite+nitrate, phosphate, and silicate. The cruise took place under UK OSNAP (NE/K010875/1 and NE/K010875/2) and UK National Capability CLASS (NE/R015953/1). Sample analysis was funded by the European Union's Horizon 2020 Research and Innovation Programme under grant agreement no. 678760 (ATLAS). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Improved understanding of Rockal Trough chemistry |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/0814056c-7d07-248b-e063-6c86abc... |
| Title | Hydrographic section data (dissolved inorganic nutrients, dissolved inorganic carbon and total alkalinity) from DY078, May 2017, from the Eastern Boundary array (Rockall Trough), as part of UK OSNAP (Overturning in the Subpolar North Atlantic Programme). |
| Description | The dataset consists of water samples collected in the Rockall Trough along the Extended Ellett Line using the lowered rosette during cruise DY078 in May 2017. Samples were analysed for dissolved inorganic carbon, total alkalinity, nitrite+nitrate, phosphate, and silicate. The cruise took place under UK OSNAP (NE/K010875/1 and NE/K010875/2) and UK National Capability CLASS (NE/R015953/1). Sample analysis was funded by the European Union's Horizon 2020 Research and Innovation Programme under grant agreement no. 678760 (ATLAS). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Improved understanding of Rockall Trough chemistry |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/0c3f44e7-8db9-04d5-e063-6c86abc... |
| Title | Hydrographic section data (dissolved inorganic nutrients, dissolved inorganic carbon and total alkalinity) from DY120, October 2020, from the Eastern Boundary array (Rockall Trough) and Iceland Basin, as part of UK OSNAP (Overturning in the Subpolar... |
| Description | The dataset consists of water samples collected in the Rockall Trough along the Extended Ellett Line using the lowered rosette during cruise DY120 in October 2020. Samples were analysed for dissolved inorganic carbon, total alkalinity, nitrite+nitrate, phosphate, and silicate. The cruise took place under UK OSNAP (NE/K010875/1 and NE/K010875/2) and UK National Capability CLASS (NE/R015953/1). Sample analysis was funded by the European Union's Horizon 2020 Research and Innovation Programme under grant agreement no. 818123 (iAtlantic). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Improved understanding of Rockall Trough chemistry |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/0c665dcd-0bc9-6b5f-e063-6c86abc... |
| Title | ICOS OTC FOS NRT Product, Porcupine Abyssal Plain |
| Description | ICOS Data collected at PAP |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Real time data |
| URL | https://meta.icos-cp.eu/objects/ex6CgcTZhOP6xJwVx0WdvAt0 |
| Title | ICOS Ocean Thematic Centre Fixed Ocean Station Near Real Time data Product form the Porcupine Abyssal Plain Sustained Observatory surface buoy |
| Description | Hartman, S., Flohr, A. (2022). ICOS OTC FOS NRT Product, Porcupine Abyssal Plain, 2022-05-07-2022-11-10, ICOS RI, https://hdl.handle.net/11676/pYkM_heWRclhkce34Obeta_h |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | ICOS data product from CLASS data collection at PAP-SO |
| URL | https://hdl.handle.net/11676/pYkM_heWRclhkce34Obeta_h |
| Title | Implementation of riverine dissolved organic carbon (DOC) in FVCOM-ERSEM at the Conwy estuary |
| Description | The model was an implementation of a 3D coupled ocean-biogeochemical model (FVCOM-ERSEM) in the Conwy estuary, which simulated fate and transport of riverine dissolved organic carbon (DOC) based on the recent publication by Anderson et al., 2020. The model used a new LTLS dataset for the river forcing. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | Fate and transport of riverine dissolved organic carbon (DOC) have been simulated for the first time in the Conwy estuary by the FVCOM-ERSEM model. Analyses of the model results will provide quantification of carbon transport from land to the marine system. |
| Title | Improved iron formulation in ERSEM |
| Description | A new model formulation describing variable iron scavenging rate and bacterial iron uptake has been developed and now is ready to be implemented in the ERSEM code for testing |
| Type Of Material | Computer model/algorithm |
| Provided To Others? | No |
| Impact | Not impacts yet |
| Title | Improved sea ice rheology (Elastic-Anisotropic-Plastic) for the European ice model SI3 in the NEMO ocean modelling framework |
| Description | SI3 regional configuration of the Arctic. New improved sea ice rheology (Elastic-Anisotropic-Plastic) has been developed for the Sea Ice Integrated Initiative SI3 and included in the NEMO ocean modelling framework for the ocean research, climate and forecasting based on the ORCA2_SAS_ICE reference configuration. The NEMO code is available from https://forge.nemo-ocean.eu/nemo/nemo. This configuration has a resolution of 1/36 degree and is a cut-out of the global 1/36 configuration: https://github.com/immerse-project/ORCA36-demonstrator. Code authors: Drs Stefanie Rynders and Yevgeny Aksenov. The code base is a pre-4.2.0 NEMO version, the model source code can be found in the file src_tar. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Improved forecasting skills of the EU model to deliver a wide range of ultra-high ~km-scale forecasts and climate projections for IPCC AR7. |
| URL | http://forge.ipsl.jussieu.fr/nemo/browser/NEMO/trunk/src/ICE/ |
| Title | In situ database of optical measurements from Atlantic Meridional Transect |
| Description | In situ database of optical measurements from Atlantic Meridional Transect submitted to the European Space Agency. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | AMT4OceanSatFlux data has been used by EUMETSAT, European Space Agency Sentinel-5P Ocean Colour project TROPOMI. |
| Title | Integrated water quality monitoring |
| Description | A data network is being created by PML for Plymouth Sound that includes in situ monitoring, autonomous sensor, satellite and physical model data. |
| Type Of Material | Data analysis technique |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | In situ monitoring, autonomous sensor, satellite and physical model data. |
| Title | International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Release 3, Individual Observations |
| Description | The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) is a global ocean marine meteorological and surface ocean dataset. It is formed by merging many national and international data sources that contain measurements and visual observations from ships (merchant, navy, research), moored and drifting buoys, coastal stations, and other marine and near-surface ocean platforms. Each marine report contains individual observations of meteorological and oceanographic variables, such as sea surface and air temperatures, wind, pressure, humidity, and cloudiness. The coverage is global and sampling density varies depending on date and geographic position relative to shipping routes and ocean observing systems.The latest Release 3.0 (R3.0) of ICOADS covers 1662-2014, and is coupled with improved "preliminary" monthly data and product extensions past 2014. R3.0 includes changes designed to enable more effective exchange of information describing data quality between ICOADS, reanalysis centers, data set developers, scientists and the public. These user-driven innovations include the assignment of a unique identifier (UID) to each marine report, to enable tracing of observations, linking with reports and improved data sharing. Other revisions and extensions of the International Maritime Meteorological Archive (IMMA) common data format incorporate new near-surface oceanographic data elements and cloud parameters. Many new input data and metadata sources have been assembled, and updates and improvements to existing data sources, or removal of erroneous data, made. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | ICOADS forms the main data source for most historical surface marine gridded datasets including those used in the IPCC. |
| URL | https://rda.ucar.edu/datasets/ds548.0/ |
| Title | Interpolated surface ocean carbon dioxide partial pressure for the South Atlantic Ocean (2002-2018) using different biological parameters |
| Description | The dataset contains interpolated fields of surface ocean partial pressure of carbon dioxide (pCO2sw) for the South Atlantic Ocean (10N - 60S; 25E-70W) on a monthly time and 1 degree latitude and longitude grid, between July 2002 and December 2018. The pCO2sw is interpolated using SOCATv2020 observational data, that have been corrected to the surface sub skin temperature, using a neural network interpolation scheme described in Ford et al. (2022).Five separate pCO2sw estimates are provided using different biological parameters as input to the interpolation scheme. These consist of net community production (NCP), net primary production, chlorophyll-a, and two variants with no biological parameters as input. Full details are given in the article published in Biogeosciences. This article highlights that the NCP variant is the most accurate and therefore is the recommended version. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://doi.pangaea.de/10.1594/PANGAEA.935936 |
| Title | JC165 Cruise Report, RRS James Cook, PAP (Ruhl) |
| Description | The oceanic water column and the underlying seabed change on a variety of temporal and spatial scales. The objective of the Porcupine Abyssal Plain Sustained observatory is to provide high temporal resolution (hours) of an increasing number of variables which are relevant from the perspective of the biology, physics and chemistry over a relatively small spatial scale (30km). The site has been under examination for over 20 years and during that time, substantial changes have been observed in the benthic environment. The intention is to sustain and enhance these observations in order that a deeper understanding is obtained into the processes which operate; in particular the responses to the changes which are currently taking place in the global environment. The objective of the cruise was primarily to service the infrastructure required for continuous sustained observation, and to put these into context using observations from the ship which as yet cannot be carried out autonomously. In parallel to maintaining and extending exisiting measurements, the over view was enhanced by parallel research into the abundance and distribution of seafloor life in relation to incoming food flux and topographic features. These investigations were carried out using a multi instrument observational approach combined with direct sampling. The cruise achieved sampling of the abyssal plain seabed and its fauna via coring, trawling, and baited traps, and left in place a time-lapse camera system for extended (1-year) seafloor observation. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Cruise Report https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/jc165.pdf |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/16973/ |
| Title | JC166 (167) Cruise Report, RRS James Cook, Haig Fras Marine Conservation Zone (Huvenne) |
| Description | JC166-167 combined two sets of activities: the delivery of scientific research funded through the NERC National Capability programme CLASS, and training & equipment trials for the engineers of the MARS group within NOC. The work was carried out in two main research areas west of Cornwall: the Greater Haig Fras Marine Conservation Zone (MCZ), and the Whittard Canyon submarine canyon complex. Both research areas are major study sites within the CLASS programme, and specifically the work at Haig Fras was one of the main deliverables of the programme for 2018. Haig Fras is the only rocky reef on the Celtic Shelf, west of Cornwall. The Greater Haig Fras area was designated an (MCZ) in 2016 to protect this unique site and its mosaic of rock and sedimentary habitats. To demonstrate the use of autonomous survey methods for the monitoring of Marine Protected Areas (MPAs) and improve our understanding of the natural variability of this mosaic habitat, NOC has set up a series of repeat AUV surveys (multibeam echosounder, sidescan sonar, photography) over the area, with a 3 year cycle. The Whittard Canyon system on the Celtic Margin is a key area to achieve an understanding of the interaction between coastal & shelf waters and the open ocean. The heterogeneous terrain of submarine canyons has a strong influence on oceanographic processes, focusses the transport of sediments, organic matter and nutrients, can create a series of potential geohazards and tends to support an increased diversity in habitats and species. Part of the Whittard Canyon system was declared an MCZ in 2013, protecting, amongst others, both healthy and heavily impacted cold-water coral reefs from further human impacts. The equipment trials and personnel training covered a range of systems, including the ROV Isis, AUV Autosub6000, a wave-glider, a deep glider, the ASV C-worker and a drone. Overall, the aims of the cruise were four-fold: - Re-survey of the Haig Fras site (for the CLASS project) - Training of ROV and AUV engineers - Equipment trials - Acquisition of opportunistic data from Whittard Canyo |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Cruise Report https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/jc166.pdf |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/16974/ |
| Title | JC191- RRS James Cook (Sanchez-Franks) |
| Description | Hydrographic sections from Florida Straits to the Canaries Current across 240N in the Atlantic Ocean |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | A hydrographic section across the North Atlantic Ocean at a nominal latitude of 24°N was occupied by the RRS James Cook (cruise identifier: JC191) from 19 January to 1 March, 2020. The ship departed from Port Everglades, USA, completing a total of 135 CTD stations over the Florida Straits, the western basin, Mid-Atlantic Ridge, and eastern basin, before ending the cruise in Santa Cruz de Tenerife, Spain. The main objectives of the JC191 research expedition was to collect physical-, chemical-, and biological-ocean data with the purpose of estimating heat, freshwater and carbon budgets on low frequency time scales. All CTD stations had measurements from a CTD rosette equipped with temperature, conductivity, pressure, oxygen sensors, in addition to water captured from 24 niskin bottles fired at varying intervals throughout the full depth water column. The water from the niskin bottles was analysed for dissolved oxygen, carbon (DIC/TA), nutrients, and conductivity. Water for methane (CH4), C14, C13, and pigments (filtered) was collected for onshore analysis. The CTD rosette was also equipped with 2 RBR loggers measuring conductivity, temperature and pressure (up to 6,000m), and a lowered Acoustic Doppler Current Profiler (LADCP) making full depth velocity measurements. The 135 CTD stations include 2 carbon blank stations, and 2 bulk water stations for incubations. In addition to the CTD stations, the RRS James Cook has an underway system, which includes an intake for surface water to be pumped into the water bottle annex and the deck lab; two vessel mounted ADCPs (VMADCPs). A thermosalinograph and a fluorometer, installed in the water bottle annex, continually recorded conductivity, temperature and fluorescence. Water from the CTD was collected to calibrate the ship's underway TSG. The VMADCPs, 75Hz and 150HZ, mounted on the drop keel record ocean velocities in roughly the top 300- and 600-m, respectively. Surface carbon and methane measurements were also recorded from the underway systems, and surface meteorological variables were monitored via the meteorological sampling system and the pumped water underway system. Finally bathymetric data were recorded an EA640 echosounder and a Kongsberg EM122 multibeam, both of which are mounted on the ship's hull. Last, 5 Deep Apex Argo floats measuring conductivity, temperature, pressure and oxygen (except for one float not equipped with an optode) were deployed in the western basin. |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/jc191.pdf |
| Title | JC231 Cruise Report RRS James Cook PAP 2022 (Hartman) |
| Description | The aim of the RRS James Cook cruise (JC231) was to service moorings at the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) and in the Whittard Canyon. This cruise, including both the operations at the Porcupine Abyssal Plain Sustained Observatory and within the Whittard Canyon forms part of the UK Natural Environment Research Council's Climate Linked Atlantic Sector Science CLASS project (https://projects.noc.ac.uk/class-project/sustained-ocean-observations) that is managed by the National Oceanography Centre (NOC). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Continuation of PAP time series |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/18088/ |
| Title | JC237 Whittard Canyon RRS James Cook Cruise Report 2022 (Huvenne) |
| Description | JC237, part of the NERC-funded CLASS programme, focussed on the Whittard Canyon (Celtic Margin), and on the Porcupine Abyssal Plain. Both locations are 'fixed-point observatories' within CLASS, where repeated observations provide insights into how benthic ecosystems change over time, and how they react to both natural and anthropogenic disturbances. The expedition used the latest in deep-sea observing technology (AUV Autosub 5, ROV Isis, DeepGlider) to achieve its goals. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Continuation of habitat mapping |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/jc237.pdf |
| Title | JC238 Ellett Array RRS James Cook Cruise Report 2022 (Moat) |
| Description | The primary objective of the expedition was to service the OSNAP/CLASS array of moorings that are deployed across the subpolar North Atlantic to measure the variability of the Atlantic Meridional Overturning Circulation (AMOC). The main measurements required are of temperature, salinity, current speed. On this expedition there are two main groups of moorings measuring these variables: one for the Rockall Trough and one in the Iceland Basin. In addition, a CTD section was undertaken between the Scottish continental shelf and the mooring IB3. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Mooring turnaround |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/jc238.pdf |
| Title | JC247 PAP RSS James Cook Cruise Report 2023 (Gates) |
| Description | The aims of RRS James Cook Cruise 247 (JC247) were to study multidecadal change in the NE Atlantic by continuing long-term observations at the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) and Whittard Canyon. Both sites are part of the Natural Environment Research Council's Climate Linked Atlantic Sector Science (CLASS) project (https://projects.noc.ac.uk/class-project/sustained-ocean-observations), managed by the National Oceanography Centre (NOC). Research at PAP-SO aims to use time-series data on different temporal scales (hours to years) to observe biogeochemical and ecological change at the site. Scientists have been visiting PAP-SO since 1985 to make observations, and the nature of the science has evolved over that time period. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Continuation of time series |
| URL | https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/jc247.pdf |
| Title | KRILLBASE-length frequency database, a compilation of scientific net sampling data on length, sex and maturity stage of Euphausia superba around the Southern Ocean, 1926 to 2016 |
| Description | The KRILLBASE-length frequency database comprises individual length measurements of 613487 Euphausia superba from 6470 scientific net hauls. Some of these individually-measured krill have additional information on their sex and maturity stage. Most of these E. superba are postlarvae, but some of the hauls include small (< 20 mm) krill which likely include furcilia larvae as well as juveniles |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | It brings together disparate krill demographic information into a central database, making this information more widely available for a series of initiatives ranging from education (student projects, scientific research and for managing the expanding krill fishery amid climate change). |
| URL | https://doi.org/10.5285/DFBCBBF9-8673-4FEF-913F-64EA7942D97A |
| Title | L4 ADCP dataset |
| Description | 46 day deployment of a bottom moored ADCP at PML coastal station L4 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Data has been used within the group to validate coupled hydrodynamic-biogeochemical models (FVCOM-ERSEM and GOTM-ERSEM) |
| URL | https://data.ecosystem-modelling.pml.ac.uk/thredds/catalog.html |
| Title | MA 4 Global ocean climate projections |
| Description | This dataset includes 4 climate projections for the global ocean made with the model NEMO-ERSEM under the scenarios SSP1-2.6 and SSP3-7.0. The model is driven by two different CMIP6 models, CNRM-CM6-1hr and GFDL-ESM4 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | the model has just been completed. it will be used to drive HTL models to assess future distribution of fishes (including specific species as sharks) and to inform Integrated Ecosystem assessments of several case studies areas in the Atlantic |
| Title | MEDUSA in FABM |
| Description | Biogeochemical model MEDUSA (Yool et al, 2013) was incorporated into Framework for Aquatic Biogeochemical Models (FABM). The model was tested in a coupled mode with GOTM and NEMO 1D and global (ORCA2, eORCA1) configurations. FABM code was compared with original implementation in terms of similarity of output and performance. In 1D NEMO configuration results were identical within double numerical precision, and in 3D within single precision. In terms of timing, FABM version showed ~10% overhead compared to original implementation, depending on configuration. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | No |
| Impact | No impacts yet. |
| URL | https://github.com/FABM-MEDUSA/fabm-medusa/tree/v1.0 |
| Title | Marine environment climate change projections for Southeast Asian seas |
| Description | Projections of physical and biogeochemical conditions in Southeast Asian seas, 1980-2098, RCP4.5 and RCP8.5, derived from climate models. For more details see BlueCommunities_2d.dataset_description.pdf |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | This dataset has enabled (1) production of projections of change in fish species in Southeast Asian seas due to climate change and fishing pressure (doi:10.5281/zenodo.4281146) (2)a study of the impact of seawater temperature on coral reefs in the context of climate change for Cu Lao Cham - Hoi An Biosphere Reserve (doi.org/10.3389/fmars.2021.704682). Further studies are in preparation. |
| URL | https://zenodo.org/record/4775853 |
| Title | Megafaunal ecological parameters investigated across the nodule cover gradient of the APEI6 of the CCZ |
| Description | Megafaunal parameters explored across different polymetallic-nodule covered seafloor classes. Megafaunal occurrences used to compute ecological parameters were inferred from seafloor imagery data collected using an autonomous vehicle during RSS James Cook cruise JC120 to the APEI6 area of the CCZ (Jones, 2015), in stations JC120-047, JC120-078, and JC120-087. Depth ranges between different data sites was 3950-4250 m. Environmental variables (i.e. nodule cover) were determined using image-based detection algorithms. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| URL | https://doi.pangaea.de/10.1594/PANGAEA.893220 |
| Title | Micromolar Nutrient concentration profiles from the long term time series at Station E1 in the Western English Channel from 2002 to 2020. |
| Description | Results are reported for the analysis of water samples taken from the E1 long-term sampling station (50° 02.0' N; 04° 22.0' W) situated off Plymouth on the south-west coast of England, United Kingdom. The analyses are reported for Nitrate+Nitrite, Nitrite, Silicate and Phosphate concentrations. The dataset begins in 2002 and runs through till 2020, and the data is an ongoing time series. In the early years the samples were taken and frozen to be batch analysed at a later date. Since 2007 the site visits have been on a more regular almost fortnightly sampling protocol, however due to the more 'offshore' nature of the site there are many sampling weeks lost due to bad weather. There are both filtered and unfiltered sample results. A classical picture is seen of generally summer nutrient depletion and with higher winter concentrations of Nitrate, Silicate and Phosphate. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | not known |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/bc3cf5ce-d18d-1f42-e053-6c86abc... |
| Title | Micromolar Nutrient concentration profiles from the long term time series at Station L4 in the Western English Channel from 2000 to 2020. |
| Description | Results are reported for the analysis of water samples taken from the L4 long-term sampling station (50° 15' N; 4° 13.02' W) situated off Plymouth on the south-west coast of England, United Kingdom. The analyses are reported for Nitrate+Nitrite, Nitrite, Silicate and Phosphate concentrations. The dataset begins in 2000 and runs through till 2020, and the data is an ongoing time series. In the early years the samples were taken and frozen to be batch analysed at a later date. Since 2007 the site visits have been on a more regular weekly sampling protocol and there are both filtered and unfiltered sample results. A classical picture is seen of generally summer nutrient depletion and with higher winter concentrations of Nitrate, Silicate and Phosphate. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | not known |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/bc3cf5ce-d18c-1f42-e053-6c86abc... |
| Title | Micromolar nutrient concentration profiles from CTD Niskin bottles sampled at the long term time series at Station L4 in the Western English Channel from 2000 to 2019. |
| Description | Results are reported for the analysis of water samples taken from the L4 long-term sampling station (50°15.0'N;04°13.0'W) situated off the southwest coast of England, United Kingdom. The analyses are reported for Nitrate+Nitrite, Nitrite, Silicate and Phosphate concentrations, for samples that are both filtered and unfiltered. The dataset begins in 2000 and runs through to 2019. Since 2007 the site visits have been on a more regular almost weekly sampling protocol. A classical picture is seen of generally summer nutrient depletion and with higher winter concentrations of Nitrate, Silicate and Phosphate, however particularly in wet summers like 2012 there is a big influence of the River Tamar and spikes of high nutrient loads are seen being introduced into this nearshore sampling site. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | not known |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/b83fe065-8374-7924-e053-6c86abc... |
| Title | Micromolar nutrient concentration profiles from the long term time series at Station E1 in the Western English Channel from 2002 to 2019. |
| Description | Results are reported for the analysis of water samples taken from the E1 long-term sampling station (50°02.0'N; 04°22.0'W) situated off the southwest coast of England, United Kingdom. Data consists of results for samples that are both filtered and unfiltered. The analyses are reported for Nitrate+Nitrite, Nitrite, Silicate and Phosphate concentrations. The dataset begins in 2002 and runs through to 2019, though the data is an ongoing time series. Since 2007 the site visits have been on a more regular almost fortnightly sampling protocol, however due to the more 'offshore' nature of the site there are many sampling weeks lost due to bad weather. A classical picture is seen of generally summer nutrient depletion and with higher winter concentrations of Nitrate, Silicate and Phosphate. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | not known |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/b83fe065-8375-7924-e053-6c86abc... |
| Title | Microplastic in ERSEM |
| Description | a new module has been developed to simulate transport and sedimetnation of microplastic inside ERSEM |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | the model has been used to provide estimate of efficiency of mussel reef as biofilter for microplastic for Waitrose. |
| Title | Monitoring downstream effects of flooding |
| Description | Machine learning and advanced ecosystem modelling are being applied to high resolution multi-sensor satellite and in situ automated sensor data, developed by the Australia-Aquawatch program, to monitor downstream effects of flooding in the UK and Australian coastal ecosystems. |
| Type Of Material | Data analysis technique |
| Year Produced | 2024 |
| Provided To Others? | No |
| Impact | Improved flood monitoring |
| Title | Mooring deployment of CTD sensors in the Tamar estuary |
| Description | Dataset of 3 YSI instruments in the lower reaches of the Tamar estuary with measurements of temperature, salinity, pH, Oxygen, turbidity and nitrate |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | This will be used in validation of the Tamar estuary biogeochemical model |
| Title | N-deposition |
| Description | Nitrogen deposition on the North Western European Shelf has been derived from the EMEP model output over the period 2000-2017. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | the product has been delivered to MetOffice and it's being used for the Shelf reanalysis and operational forecast model delivered to the Copernicus Marine Environment Monitoring Services |
| Title | N-osmolytes process model |
| Description | Model formulation describing N-osmolyte dynamic was modified by assuming a positive feedback of these metabolites on growth and fitness of dinoflagellates under nutrient stress conditions. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The new model improved the simulations of N-osmolytes and phytoplankton types succession in the transition between spring and summer. The combined analysis of data and model simulations allowed to put forward a new hypothesis on the physiological role of N-osmolytes in phytoplankton |
| Title | NEMO-3.6-FABM code |
| Description | NEMO3.6 with FABM coupler support was released on github server. This includes minor updates, including support for ARCHER2 architecture. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The codebase supports delivery of multiple projects, such as NERC DARE-UK, SANH, and previously SSB, MERP etc. |
| URL | https://github.com/pmlmodelling/NEMO3.6-FABM |
| Title | NEMO-4.0-FABM code |
| Description | Recent version of hydrodynamic model NEMO-4.0 with FABM (Framework for Aquatic Biogeochemical Models, fabm.net) support has been published on github server as a public repository. The code includes updates necessary for running on NERC HPC ARCHER2. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The new, up-to-date codebase supports all new simulations due to be deployed on ARCHER2. |
| URL | https://github.com/pmlmodelling/NEMO4.0-FABM |
| Title | NEMO-ERSEM with terrestrial DOC in the AMM7 domain |
| Description | NEMO-FABM-ERSEM simulation (1981-2015) for the AMM7 domain with the addition of terrestrial DOC (tDOC). Riverine inputs of of tDOC are taken from the LTLS Integrated Model (Great Britain) and published literature. A key feature of this model is that both photochemical and bacterial degradation rates of tDOC are age dependant. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | No |
| Impact | This work provides information on tDOC spatial and temporal variability across the north west European shelf. It will also provide a preliminary assessment of the impact of terrestrial DOC discharge on major ecosystem processes and services like CO2 air-sea fluxes, primary and bacterial production and nutrient remineralisation. |
| Title | NEMO-FABM 1D configurations |
| Description | Standard test case of 1D NEMO model configuration (station PAPA, 50N, 144W, depth ~4220 m) was coupled with biogeochemical models ERSEM and MEDUSA via FABM framework. To the best of our knowledge, this is the first implementation of 1D NEMO coupled with biogeochemistry. Configuration files for biogeochemical models are available via PML gitlab server. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | No impacts so far. |
| URL | http://gitlab.ecosystem-modelling.pml.ac.uk |
| Title | NEMO-FABM coupler update |
| Description | We have updated the PML-maintained biogeochemical coupler (NEMO-FABM) of the 3D hydrodynamic model NEMO to support more varied biogeochemical model configurations, including spectrally resolved light with feedback to physics (heating through light absorption) and depth-integrated fish stocks. New functionality is designed to integrate with existing biogeochemical models in FABM, including ERSEM and MEDUSA. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Used by various partners including the UK MetOffice in projects funded by e.g. CMEMS, NERC and Defra. |
| URL | https://www.pml.ac.uk/Modelling_at_PML/Access_Code |
| Title | NEMO-FABM-ERSEM on AMM7 domain (1981-2015) |
| Description | A baseline simulation using NEMO-FABM-ERSEM without terrestrial tDOC was run from 1981-2017 to compare against the run including terrestrial DOC. The model setup and all model inputs are exactly the same in both simulations except, this run does not include terrestrial DOC from rivers. This allows the impacts of terrestrial DOC on ecosystem dynamics and air-sea fluxes of CO2 to be investigated |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | None |
| Title | NEMO-FABM-ERSEM on NW European Shelf (AMM7 domain) |
| Description | Baseline simulation of NEMO-FABM-ERSEM from 1981-2017 using updated WOA2020 boundary forcings, ERA5, dynamic alkalinity and NOWMAPS river data. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | None |
| Title | NEMO-FABM-ERSEM with terrestrial DOC: 1981-2015 |
| Description | NEMO-FABM-ERSEM simulation (1981-2015) for the AMM7 domain with the addition of terrestrial DOC (tDOC). Riverine inputs of of tDOC are taken from the LTLS Integrated Model (Great Britain; Bell et al., 2021) and published literature. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Model results have been given to CEFAS for use in another project |
| Title | NEMO-FABM-ERSEM-MIZER on NW European Shelf (AMM7 domain) |
| Description | Two-way coupled model of NEMO-FABM-ERSEM-MIZER on the AMM7 domain. It includes exactly the same forcing as baseline model, in particular: ERA5 meterological forcing, NOWMAPS rivers forcing, dynamical Alkalinity and updated (WOA2020) boundary conditions for nutrients with the only difference the addition of fish |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | No |
| Impact | None |
| Title | NEMOVAR capacity to assimilate PFT absorption for different wavelengths |
| Description | Extension of the observation operator and balancing code to handle 24 (6 wavelengths times 4 Phytoplankton Functional Types) new variables. The code translates PFT absorption increments into increments of the PFT components (ERSEM state variables) based on background ratios. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | 2016 1 year reanalyses for PFT absorption and biogeochemistry on the NWE Shelf. |
| Title | NOC FRONTIER ARC36 NEMO-SI3 coupled sea ice-ocean model and tests with three rheology settings |
| Description | NOC FRONTIER ARC36 NEMO-SI3 coupled sea ice-ocean model and tests with three rheology settings (aEVP, EAP and EAP-isotropic) are archived on ARCHER-II and BODC. Code, configuration settings are on ARCHER-II and at https://zenodo.org/record/6628486#.ZAn6fxP7RT4 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | The model integrations show that sea ice concentration, lead positions (and linear kinematic features LKFs), and ice drift divergence are different in all the three rheology options. EAP shows more LKFs than the aEVP with more acute intersection angles, in better agreement with observations. In EAP LKFs change significantly in response to wind forcing variations on sub-daily scales, with aEVP less so. EAP simulations show a large degree of ice anisotropy. Isotropic settings (anisotropy is set constant=0) of EAP show a different pattern of more stepped leads, which also appear in real sea ice. This points out the key role of sea ice anisotropy evolution for realistic simulations. EAP provides a promising alternative for high resolution sea ice modelling, simulating ice plates dynamics impact on ocean eddies. |
| Title | Nested open ocean boundary files for NW European Shelf (AMM7) for NEMO-ERSEM |
| Description | Creation of new physical and biogeochemical Atlantic Ocean boundary files using outputs from the global PISCES model downloaded from CMEMS. Specifically these files also contain data for the different PFTs for the first time. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | No |
| Impact | In trial stage to hopefully be eventually used for the CMEMS reanalysis |
| Title | Nutrient concentration profiles from long term time series at Station E1 in the Western English Channel from 2002 to 2018 |
| Description | Results are reported for the analysis of water samples taken from the E1 long-term sampling station (50 02.0'N; 04 22.0'W) situated off the southwest coast of England, United Kingdom. Data consists of results for samples that are both filtered and unfiltered. The analyses are reported for Nitrate+Nitrite, Nitrite, Silicate and Phosphate concentrations. The dataset begins in 2002 and runs through to 2018, though the data is an ongoing time series. Since 2007 the site visits have been on a more regular almost fortnightly sampling protocol, however due to the more 'offshore' nature of the site there are many sampling weeks lost due to bad weather. A classical picture is seen of generally summer nutrient depletion and with higher winter concentrations of Nitrate, Silicate and Phosphate. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Nutrient data is used to regularly update on line web database for the Western Channel Observatory site. |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/99e479eb-68a1-409a-e053-6c86abc... |
| Title | ORCA1-CICE simulations with new mixing and sea ice melting schemes |
| Description | Results from the ORCA1-CICE model runs with different mixing schemes (TKE, GLS and modified GLS for wind and wave mixing) and different ice melting schemes using prognostic sea ice fragmentation (based on the ocean- sea ice -wave interactions model development by Drs Lucia Hosekova, Stefanie Rynders and Yevgeny Aksenov), the list runs is below. 1. Global NEMO1-control TKE, NEMO 3.6 stable + CICE 5.1, control 1with TKE vertical mixing lateral melting scheme with constant ice floes sizes, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) 2. Global NEMO1-control GLS, NEMO 3.6 stable + CICE 5.1, control 2 with GLS vertical mixing, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) 3. Global NEMO1-GLS, NEMO 3.6 stable + CICE 5.1, with modified GLS vertical mixing for wind effects, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) 4. Global NEMO1-GLS, NEMO 3.6 stable + CICE 5.1, with modified GLS vertical mixing for wave effects, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) 5. Global NEMO1-LM, NEMO 3.6 stable + CICE 5.1, with TKE vertical mixing and modified lateral melting scheme due to prognostics ice floes sizes, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) 6. Global NEMO025-control, NEMO 3.6 stable + CICE 5.1, with TKE vertical mixing and modified lateral melting scheme with constant ice floes sizes, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) 7. Global NEMO025-LM, NEMO 3.6 stable + CICE 5.1, with TKE vertical mixing and modified lateral melting scheme due to prognostics ice floes sizes, monthly output of U,V,T,S, W, vertical diffusivity and monthly output of sea ice (Hice Aice, Uice, Vice, Internal stresses, ice tendencies) and wave information (HS, Tp) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The results improve mixed layer depth simulations in the global models, providing ways to improve physical and biogeochemical model biases in the present climate model runs. The results feed in the NERC projects LTSM ORCHESTRA/ENCORE, "Towards the Marginal Arctic Sea Ice", PREMelt and LTSS CLASS and in inform the NEMO-SI3 model development strategy. |
| URL | https://eprints.soton.ac.uk/428655/ |
| Title | Objectively mapped Argo profiling float data from the Global Ocean, 2004-2020. |
| Description | Objectively mapped Argo profiling float data from the Global Ocean, 2004-2020. Global Argo data from the January 2021 IFREMER GDAC mirror. Real-time and delayed mode data with Argo quality flag 1 or 2, mapped in 10-day periods on sigma-1 density surfaces with decorrelation length scale 500 km. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Included in global summary of ocean heat content from many mappings of Argo data, for IPCC Assessment reports |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/961f3c2d-04ca-1911-e053-6c86abc... |
| Title | Observations of sedimentation near a hydrocarbon drilling site and impacts on a sponge specimen |
| Description | The data consist of hourly observations of sedimentation impacts located approximately 31 m southwest of the drilling location, including measurements of proxies of suspended material in the water column, along with observations of the lamellate desmosponge specimen. Acoustic backscatter (1.9-2.0 MHz) and current speed were measured using a Seaguard RCM DW. A time-lapse camera was also deployed: the Nikon E995 camera was set to F 6.0, ISO 200, exposure 1/60, with photos of 2048 x 1536 pixels. As another estimate of suspended material in the water column, brightness (as mean RGB) was calculated for top corners (256 x 256 pixels) in photos, where the corners were not obscured by fish. Settlement of sediment on the sponge specimen was estimated as brightness of a portion of it (approximately 3600 pixels2) in the images. Movement of the sponge was estimated as the distance between successive xy-positions of the apex of the sponge in images. Mean values (6- and 12-hourly) centred on the hourly data, and sums of distance over 6- and 12-h periods were also calculated. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Associated with paper: Durden, J.M., Clare, M.A., Vad, J., & Gates, A.R. (2023). First in-situ monitoring of sponge response and recovery to an industrial sedimentation event. Marine Pollution Bulletin, 191, 114870. doi: 10.1016/j.marpolbul.2023.114870 |
| URL | https://doi.pangaea.de/10.1594/PANGAEA.955147 |
| Title | Ocean Colour Radiometer (OCR) data measured at 7 wavelengths at 30 minute intervals at a height of 4m on the PAP1 mooring at the Porcupine Abyssal Plain -Sustained Observatory (PAP-SO) from 12 May 2023 to 31st August 2023. |
| Description | Radiometer data from OCR: 7 wavelengths (calibrated by Satlantic 11 Apr 2019: 412.5, 443.9, 489.3, 510.8, 554.2,670, 682.4nm), measured using Satlantic OCR-507-ICSA SN 226 at a height ~4m in air at the top of the PAP1 buoy, 30 minutes resolution at the Porcupine Abyssal Plain - Sustained Observatory in the North East Atlantic ocean (49N 16.5W). Deployed on the PAP1 mooring during cruise JC247 as part of the NERC CLASS programme. Data runs from 12 May 2023 to 31st August 2023. This dataset was collected by scientists at the National Oceanography Centre, Southampton, UK. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Continues time series, recently added. |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/10f309b9-6179-4fe4-e063-6c86abc... |
| Title | Off-line model to assess combined risks from ocean currents, tides, waves and sea ice for offshore operations in the polar oceans and ice-covered seas |
| Description | Off-line model to calculate critical loads and safety limits to navigate in sea ice has been developed in the framework of the new coupled ocean-sea ice-waves NEMO-CICE-WW3 model by Drs Stefanie Rynders and Yevgeny Aksenov (NOC). The model uses inputs from the coupled ocean-sea ice-waves model and applies newly developed dynamical and static ice loads calculations, along with the safety ice navigation limits for different ship classes and critical loads from combined effects from currents and waves. The model is generic and can use netcdf input from any ocean-sea ice-wave models. The model produces timeseries and spatial maps of the loads and maps safety areas for marine operations, including ships navigation and fixed off-shore structures exploitation. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The model allows assessments of the combined navigational and structural integrity risks of the fixed and floating off-shore installations from sea ice drift and compressions, ocean waves, currents and tides regionally and globally in all the seasons, as for the present day conditions, as well as for the future climates. This is essential for the marine safety planning and forecasting. |
| URL | https://doi.org/10.1007/978-3-030-80439-8_12 |
| Title | Off-line pan-Arctic model of the coastal permafrost erosion |
| Description | Off-line pan-Arctic model of the coastal permafrost erosion has been developed in the framework of the new coupled ocean-sea ice-waves NEMO-CICE-WW3 model. The erosion model uses inputs from the coupled ocean-sea ice-waves model and land permafrost model and allows simulating permafrost erosion rates and fluxes of the terrigeneous matter, including fluxes of carbon, nutrients and contaminants. The developed model follows closely Wight's model (Barnhart 2014) and calculates coastal erosion due to wave action and sea level change anomalies, with added permafrost probability and adjustment for rocky/non rocky coast. The erosion rates depend on geological permafrost temperature, probability (PEX); ice content (ACDD) and marine parameters (SST, SWH, wave period). ACDD has the required variables to calculated organic carbon, nitrate and phosphate fluxes from erosion rates. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Arctic coastal erosion is an increasing problem via threat to infrastructure, also it affects the marine environment. Arctic coast is mainly soft sediment permafrost. Sea ice protection is decreasing, leading to increased erosion from waves and melting. The pan-Arctic model of the coastal permafrost erosion model leads to the improved simulations of the marine biogeochemistry by accounting for the input of the land biogeochemical fluxes and land contaminants into the marine environment. The model offers quantitative assessments of the future erosion trends, informing mitigation scenarios of the coastal structure integrity and settlements safety. The model can be used to assess melting and collapse of the ice barrier from the waves in the Antarctica and sea level rise. |
| URL | https://meetingorganizer.copernicus.org/EGU22/EGU22-5807.html |
| Title | Offline coupling FVCOM-FABM-ERSEM |
| Description | Offline approach to couple FVCOM and ERSEM with FABM has been tested and implemented. The offline coupling model results are similar compared to the online one. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | The offline coupling approach significantly reduces the computational time by 5 to 6 times compared to the online coupling method, therefore the 3D high resolution FVCOM-FABM-ERSEM model can be run more effectively. |
| Title | Operational harmful algal bloom risk advection model |
| Description | Operational model which takes the remote sensing identified HAB risk and advects this around the UK SW shelf area, then composites the results into a single published HAB probability map |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | HAB bulletin available for the south-west uk shelf area for warning aquaculture sites of potential incursion of HABs |
| Title | Operational hydrodynamic forecast model of the Plymouth coastal region including the area designated for the Plymouth Sound National Marine Park. |
| Description | The system is run operational at Plymouth Marine Laboratory HPC and produces a 2 day forecast every day of the hourly hydrodynamic conditions. The model outputs are publicly available from PML's thredds server both in its original unstructured grid format and in a regular gridded format. Detailed forecast conditions are presented in table and grafical form for a selection of areas within the domain in a dedicated website. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | The forecasts have been used by students of the University of Plymouth over the recent years to support their field work. The system has also provided information for sporting events within the Tamar estuary (rig racing) and the plymouth sound (SailGP 2021), and is aiding UKHO develop its new S-100 trial datasets in the Plymouth area. |
| URL | https://plymouthmarineforecasts.org/ |
| Title | PHEG Update_1958_2021 |
| Description | Excel file containing CPR data for area 44N to 63N, -13W to 11E, 1958 to 2021, sample level data (each sample being 1 row, equating to approx. 10 nautical miles of tow, 3m3 of filtered seawater), for CPR PLET taxa. For each taxa, values indicate abundance (according to standard CPR methodology, see Richardson et al. 2006, Prog in Oceanog 68. 27-74), zero values are absence of taxon - all taxa have been counted since 1958. The excel file consists of samples in rows, with the following information in columns - A: sample id B:midpoint of sample latitude in decimal degrees C:midpoint of sample longitude in decimal degrees D:midpoint of sample local date and time E:sample year F: sample month G: Phytoplankton Colour Index H-:taxa. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://doi.mba.ac.uk/data/3142 |
| Title | Plankton abundance measured by flow cytometry from long term time series Station E1 in the Western English Channel for 2019 |
| Description | This dataset contains depth profiles of the abundance of groups of plankton as cells per millilitre, measured using flow cytometry from the long-term sampling station, E1 (50°2.05'N; 4°22.5'W) situated off the south-west coast of England, United Kingdom. The groups quantified are divided into phytoplankton and heterotrophs. Phytoplankton groups quantified are: Synechococcus sp. (cyanobacteria), picoeuakryotes (smaller than 2 µm), cryptophytes, coccolithophores, small dinoflagellates (<20 µm), Phaeocystis sp. and nanoeukaryotes not already mentioned (2-20 µm). Heterotrophs quantified are: bacteria with relatively high nucleic acid content (HNA) and bacteria with relatively low DNA. Samples were collected and analysed from 2, 10, 20, 30, 40 and 60 m depth. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Only recently submitted to BODC |
| Title | Plankton abundance measured by flow cytometry from long term time series at Station E1 in the Western English Channel for 2020. |
| Description | This dataset contains depth profiles of the abundance of groups of plankton as cells per millilitre, measured using flow cytometry from the long-term sampling station, E1 (50°2.05'N; 4°22.5'W) situated off the south-west coast of England, United Kingdom. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Data only just been made available |
| Title | Plankton abundance measured by flow cytometry from long term time series at Station E1 in the Western English Channel from 2014 to 2017 |
| Description | This dataset contains depth profiles of the abundance of groups of plankton as cells per millilitre, measured using flow cytometry from the long-term sampling station, E1 (50°2.05'N; 4°22.5'W) situated off the south-west coast of England, United Kingdom. The groups quantified are divided into phytoplankton and heterotrophs. Phytoplankton groups quantified are: Synechococcus sp. (cyanobacteria), picoeuakryotes (smaller than 2 µm), cryptophytes, coccolithophores, small dinoflagellates (<20 µm), Phaeocystis sp. and nanoeukaryotes not already mentioned (2-20 µm). Heterotrophs quantified are: bacteria with relatively high nucleic acid content (HNA) and bacteria with relatively low DNA. Samples were collected and analysed from 2, 10, 20, 30, 40 and 60 m depth. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | None yet |
| Title | Plankton abundance measured by flow cytometry from long term time series at Station L4 in the Western English Channel from 2019. |
| Description | This dataset contains depth profiles of the mean abundance of groups of plankton as cells per millilitre, measured using flow cytometry from the long-term sampling station, L4 (50°15.0'N; 4°13.0'W) situated off the south-west coast of England, United Kingdom. The groups quantified are divided into phytoplankton and heterotrophs. Phytoplankton groups quantified are: Synechococcus sp. (cyanobacteria), picoeuakryotes (smaller than 2 µm), cryptophytes, coccolithophores, small dinoflagellates (<20 µm), Phaeocystis sp. and nanoeukaryotes not already mentioned (2-20 µm). Heterotrophs quantified are: heterotrophic nanoflagellates, bacteria with relatively high nucleic acid content and bacteria with relatively low DNA. Samples were collected and analysed in duplicate (heterotrophs) or triplicate (phytoplankton) from 2 m, 10 m, 25 m and 50 m depth. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Only recently submitted to BODC |
| Title | Plymouth L4 time series (1988-2017) of zooplankton abundance, biomass and traits. |
| Description | Plymouth L4 time series (1988-2017) of zooplankton abundance, biomass and traits. British Oceanographic Data Centre |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Use of the data for policy reporting (MSFD/OSPAR) and other publications |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/827b5179-90a1-69d8-e053-6c86abc... |
| Title | Publishing historical data sets |
| Description | Pixalytics Ltd. Are retrieving historical archives of in-situ data and then publishing them as open data (using Zenodo) so they can be available for both this project and the wider scientific community. |
| Type Of Material | Data analysis technique |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | Improved access to historical data. |
| Title | PyLag v0.4 - A particle tracking model for marine applications |
| Description | This is the latest release of the particle tracking model PyLag, which has been under development since 2015. New features include support for a greater array of input data types, including data defined on global or regional rectilinear or curvilinear Arakawa A-grids, and data generated by the Regional Ocean Modelling System (ROMS). Support for simulating particle behaviour has also been implemented. A conda package for the model has been developed, and support for continuous integration added using Travis CI. Finally, documentation has been added and integrated with GitHub using readthedocs. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | The latest version of PyLag is being incorporated into a Coastal Observatory for the Tamar estuary and surrounding channel waters. The observatory will provide real time pollution tracking tools for end users through a web interface. The interface will go live in June 2021. The model has also supported publication, and is being used in a number of ongoing projects to track the movement and fate of particles of different types through the marine environment. |
| URL | https://pylag.readthedocs.io/en/latest/ |
| Title | PyLag v0.6 |
| Description | This is the latest release of PyLag, a particle tracking model for marine applications. The latest code includes support for studying the impact of wind and waves on particle transport. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The model has now supported several science publications, including studies into sediment transport and the impact of Harmful Algal Blooms. Marine Scotland Science have also been using the model as part of their work. |
| URL | https://github.com/pmlmodelling/pylag |
| Title | RAPID 26°N Atlantic meridional overturning circulation time series |
| Description | Smeed D.; Moat B; Rayner D.; Johns W.E.; Baringer M.O.; Volkov D.; Frajka-Williams E. (2019). Atlantic meridional overturning circulation observed by the RAPID-MOCHA-WBTS (RAPID-Meridional Overturning Circulation and Heatflux Array-Western Boundary Time Series) array at 26N from 2004 to 2018. British Oceanographic Data Centre - Natural Environment Research Council, UK. doi: 10.5285/8cd7e7bb-9a20-05d8-e053-6c86abc012c2 Documentation and download from: https://www.rapid.ac.uk/rapidmoc/rapid_da |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Data is widely used by ocean and climate science community. |
| URL | https://www.rapid.ac.uk/rapidmoc/rapid_data/datadl.php |
| Title | Regional climate model outputs for South East Asian seas |
| Description | Projections of environmental conditions in South East Asian seas, 1980-2098, created using a coupled hydrodynamic-ecosystem model, POLCOMS-ERSEM, driven by a regionally-downscaled atmospheric model from the CMIP5 set (HadGEM2-ES). Model outputs include temperature, salinity, current speeds, sea surface elevation, nutrients, plankton and bacterial biomass, primary production and pH. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | In use for research in Vietnam, Malaysia, the Philippines and Indonesia. |
| Title | Regional climate model projections for European seas |
| Description | Physical and biogeochemical projections for the North East Atlantic, North Sea and Mediterranean Sea at 0.1 degree resolution, 2006-2099, under RCP4.5 and RCP8.5. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | This dataset has already been requested by researchers in a number of countries and is now available to all via the Copernicus Climate Change Service. |
| URL | https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-marine-properties?tab=overview |
| Title | Regional summaries from Arctic high-resolution sea ice-ocean forced modelling hindcasts (2008-2021) and forced modelling projections (2000-2050) as part of the PRE-MELT project. |
| Description | Two sea ice-ocean forced modelling datasets (hindcasts and projections) were produced to analyse oceanic impacts on retreat of the Arctic sea-ice pack in the high Arctic, from areas of the Transpolar drift, north of Greenland and in the Fram Strait in the present and future climates and how those are linked to the changes in the Arctic ecosystems. The model outputs span the Arctic Ocean proper and the sub-Arctic seas, covering the near-present (2008-2021: hindcasts) and future climate (2000-2050: projections). The forced modelling hindcasts were generated using the Global Ocean and Sea Ice GO8p7, developed under the Joint Marine Modelling Programme (JMMP), a collaboration between NOC, BAS and the UK Met Office. GO8p7 is based on NEMO v4.0 and the SI3 sea ice model and includes a package of modifications, including a scale-dependent Gent and McWilliams parameterisation, partial slip lateral boundary conditions south of 50°S and 4th-order horizontal tracer advection. The present simulation done under the ACSIS NCLTS-M programme was integrated with the Japanese 55-year atmospheric analysis JRA55 (v1.3-do) from 1958 to 2021. The monthly and 5-day averages of the key sea-ice and ocean fields for the pan-Arctic and Greenland regions were created and combined into 4-D files for easy data handling. The forced modelling projections were generated using the NEMOv4.2-SI3 common NOC-UK MetOffice configuration (G8.7) coupled to the MEDUSA ecosystem model. The forcing fields were from the UK ESM1.1 model SSP370 integrations. Monthly averages of the key sea-ice, ocean and biogeochemical fields for the pan-Arctic and Greenland regions for the end of each of the decades 2020, 2030, 2040, and 2050 were created and combined into 4-D files for easy data handling. The sea ice model output for both datasets were validated against the AMSR-E satellite sea-ice concentrations, as well as the CryoSat-2 and SMOS sea-ice thickness datasets. These data were produced by National Oceanography Centre (NOC) scientists under Natural Environment Research Council (NERC) project PRE-MELT (grant references NE/T001399/1, NE/T000260/1, NE/T000546/1). Additional funding from NERC projects Advective pathways of nutrients and key ecological substances in the Arctic (APEAR, NE/R012865/1); Can we detect changes in Arctic ecosystems? (ARISE, NE/P006000/1); Arctic PRoductivity in the seasonal Ice ZonE (Arctic PrIZE, NE/P006078/1). These projects were funded under the NERC/BMBF Changing Arctic Ocean Programme, from NERC NCLTS-M Earth System Modelling programme (ESM, NE/N018036/1) and The North Atlantic Climate System Integrated Study (ACSIS, NE/N018044/1). Funding also came from NCLTS-S programme Climate Linked Atlantic Sector Science (CLASS, NE/R015953/1); European Commission grant Coordinated Research in Earth Systems and Climate: Experiments, kNowledge, Dissemination and Outreach (CRESCENDO, 641816), and finally European Union's Horizon 2020 project: Our common future ocean in the Earth system - quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points (COMFORT, 820989). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | The datasets of hindcasts and projections with sea ice-ocean forced models were used to analyse oceanic impacts on retreat of the Arctic sea-ice pack in the high Arctic, from areas of the Transpolar drift, north of Greenland and in the Fram Strait in the present and future climates and how those are linked to the changes in the Arctic nutrients pathways and ecosystems. |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/0a44e341-65b5-35f5-e063-6c86abc... |
| Title | River inputs on the NW European Shelf |
| Description | Timerseries of daily riverine inputs (discharge, nutrients, DIC, alkalinity) onto the North West European Shelf for NEMO-ERSEM for the timeperiod 1981-2018. The new river files are created from combining climatological river inputs with the latest OSPAR ICG-EMO riverine database |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | This product has been delivered to the MetOffice and is being used for the NW European Shelf reanalysis and operational forecast model delivered to the Copernicus Marine Environment Monitoring Services |
| Title | Rockall Trough BGC Transport Time Series Jul 2014 - Oct 2020 |
| Description | Rockall Trough hydrographic observations and transports from moorings and gliders |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Improved understanding of Rockall Trough hydrography |
| URL | https://thredds.sams.ac.uk/thredds/catalog/osnap.html?dataset=osnap_bgc_2020 |
| Title | Rockall Trough mooring RTEB1 stacked_time_series BGC 201705 202010 |
| Description | Rockall Trough hydrographic observations and transports from moorings and gliders |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Improved temporal coverage of Rockall Trough hydrography |
| URL | https://thredds.sams.ac.uk/thredds/catalog/osnap.html?dataset=osnap_rtm_rteb1_2020 |
| Title | SANH NEMO-ERSEM Configuration files |
| Description | Repository containing a set of scripts for producing the BGC setup for a NEMO-ERSEM simulation in the region. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Ensure reproducibility of model simulation |
| URL | https://github.com/dalepartridge/SANH_BGCsetup |
| Title | SE-NEMO |
| Description | I led the development of the biogeochemical component of the Shelf Enabled NEMO global ocean model configuration. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | No impact yet |
| Title | Sample metadata from A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns |
| Description | Combined metadata for all samples |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Sample_metadata_from_A_17-year_time-series_of_fungal_enviro... |
| Title | Sample metadata from A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns |
| Description | Combined metadata for all samples |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Sample_metadata_from_A_17-year_time-series_of_fungal_enviro... |
| Title | Sampled and simulated benthic invertebrate body-mass data from the Porcupine Abyssal Plain Sustained Observatory (4850 m, 48.83° N 16.50 °W, NE Atlantic) |
| Description | A dataset of sampled and simulated benthic invertebrate body-mass data from the Porcupine Abyssal Plain Sustained Observatory (4850 m, 48.83° N 16.50 °W, NE Atlantic) has been produced. It includes data on macro- and megabenthos derived from a randomly sampled power law distribution, seabed core samples, large-scale seabed photography, and seabed trawls. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Dataset associated with paper proposing Benthic invertebrate EOV: Ruhl, H.A., Bett, B.J., Ingels, J., Martin, A., Gates, A.R., Yool, A., Benoist, N.M.A., Appeltans, W., Howell, K.L. and Danovaro, R. (2023), Integrating ocean observations across body-size classes to deliver benthic invertebrate abundance and distribution information. Limnol. Oceanogr. Lett. https://doi.org/10.1002/lol2.10332 |
| URL | https://zenodo.org/record/7725189 |
| Title | Sampled and simulated benthic invertebrate body-mass data from the Porcupine Abyssal Plain Sustained Observatory (4850 m, 48.83° N 16.50 °W, NE Atlantic) |
| Description | A dataset of sampled and simulated benthic invertebrate body-mass data from the Porcupine Abyssal Plain Sustained Observatory (4850 m, 48.83° N 16.50 °W, NE Atlantic) has been produced. It includes data on macro- and megabenthos derived from a randomly sampled power law distribution, seabed core samples, large-scale seabed photography, and seabed trawls. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/7725188 |
| Title | Sampled and simulated benthic invertebrate body-mass data from the Porcupine Abyssal Plain Sustained Observatory (4850 m, 48.83° N 16.50 °W, NE Atlantic) |
| Description | Brian J. Bett1*, Andrew R. Gates1, Noëlie M.A. Benoist1, Tammy Horton1, Amanda Serpell-Stevens1, Jennifer M. Durden1, Henry A. Ruhl2 1National Oceanography Centre, Southampton, SO14 3ZH, United Kingdom 2Monterey Bay Aquarium Research Institute, Moss Landing, California, 95039, United States A dataset of sampled and simulated benthic invertebrate body-mass data from the Porcupine Abyssal Plain Sustained Observatory (4850 m, 48.83° N 16.50 °W, NE Atlantic) has been produced. It includes data on macro- and megabenthos derived from a randomly sampled power law distribution, seabed core samples, large-scale seabed photography, and seabed trawls. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Supporting prospective publication: Ruhl et al. "Integrating ocean observations across body-size classes to deliver benthic invertebrate abundance and distribution information" submitted to the journal Limnology and Oceanography Letters |
| Title | Scavenging Amphipods (PAP) Horton.T |
| Description | Horton T (2019): Scavenging Amphipods, Porcupine Abyssal Plain Sustained Observatory, North Atlantic, 1985-2016. v1.1. The Discovery Collections. Dataset/Samplingevent. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Horton T (2019): Scavenging Amphipods, Porcupine Abyssal Plain Sustained Observatory, North Atlantic, 1985-2016. v1.1. The Discovery Collections. Dataset/Samplingevent. |
| URL | http://ipt.iobis.org/obisdeepsea/resource?r=pap_scavenging_amphipods&v=1.1 |
| Title | Seawater carbonate chemistry and shell growth of Atlanta ariejansseni |
| Description | The atlantid heteropods represent the only predatory, aragonite shelled zooplankton. Atlantid shell production is likely to be sensitive to ocean acidification (OA), and yet we know little about their mechanisms of calcification, or their response to changing ocean chemistry. Here, we present the first study into calcification and gene expression effects of short-term OA exposure on juvenile atlantids across three pH scenarios: mid-1960s, ambient and 2050 conditions. Calcification and gene expression indicate a distinct response to each treatment. Shell extension and shell volume were reduced from the mid-1960s to ambient conditions, suggesting that calcification is already limited in today's South Atlantic. However, shell extension increased from ambient to 2050 conditions. Genes involved in protein synthesis were consistently upregulated, whereas genes involved in organismal development were downregulated with decreasing pH. Biomineralization genes were upregulated in the mid-1960s and 2050 conditions, suggesting that any deviation from ambient carbonate chemistry causes stress, resulting in rapid shell growth. We conclude that atlantid calcification is likely to be negatively affected by future OA. However, we also found that plentiful food increased shell extension and shell thickness, and so synergistic factors are likely to impact the resilience of atlantids in an acidifying ocean. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://doi.pangaea.de/10.1594/PANGAEA.948103 |
| Title | Sediment Trap data from the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) site on PAP3 mooring at 3000 metres April 1989 - June 2019 Version 2 |
| Description | The Porcupine Abyssal Plain Sustained Observatory (PAP-SO) sediment trap programme is sited in the North-East Atlantic Ocean and is run by the National Oceanography Centre (NOC). The programme began in 1989 as part of the Biogeochemical Ocean Flux Study (BOFS) programme and this data set extends to 2019 although the program continues, and more recent data will become available. The sediment traps capture sinking particles at 3000m and 4750m in McLane parflux sediment traps with associated current meters, although only the 3000m sediment trap data are presented here. The sinking material is preserved and returned to NOC where it is analysed for Estimated Volume Flux, Dry Weight, Particulate Organic Carbon (POC), Particulate Inorganic Carbon (PIC) and Total Particulate Nitrogen (TPN). The mooring (PAP3) comprises sinker plus acoustic release at seabed; MicroCat (temperature and salinity) plus buoyancy at 80 meters above bottom, sediment trap plus current meter and buoyancy at 100 meters above bottom; sediment trap plus current meter and buoyancy at 3000m. The current meter data and MicroCat data are archived with BODC but are not part of this dataset. The mooring is deployed for approximately 1 year. Sediment traps are programmed for maximum resolution at anticipated maximum flux and for low resolution in winter. Samples are preserved in 5% formalin buffered with excess di-sodium tetraborate in hypersaline seawater solution. Estimated Volume Flux (EVF) is measured on board on recovery then these samples are stored at 4-8°C for analysis at NOC Southampton and collaborating partners. This data provides insight into the sequestration of carbon in the North-East Atlantic. This dataset comprises Version 2 Estimated Volume Flux, Dry Weight, Particulate Organic Carbon, Particulate Inorganic Carbon and Total Particulate Nitrogen, measured from Particle Flux collected at 3000m on the PAP-SO mooring from 1989-2019 and supersedes the data published via doi:10.5285/f7e05069-093d-5bd3-e053-6c86abc056c2. Version 2 contains corrected longitudes, corrected cruise links, more sample information and specific flagging explanations. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | >30 year time series. Publication based on dataset: Lampitt RS, Briggs N, Cael BB, Espinola B, Hélaouët P, Henson SA, Norrbin F, Pebody CA and Smeed D (2023) Deep ocean particle flux in the Northeast Atlantic over the past 30 years: carbon sequestration is controlled by ecosystem structure in the upper ocean. Front. Earth Sci. 11:1176196. doi: 10.3389/feart.2023.1176196 |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/06bd25d5-fcd3-0f63-e063-6c86abc... |
| Title | Selected near-bottom and other variables from NW European shelf physics-biogeochemistry downscaled ocean climate projections, 3-member ensemble. |
| Description | Selected fields of physical and biogeochemical ocean variables from a 3-member ensemble of coupled physics-biogeochemistry downscaled climate runs on the North Western European Continental Shelf. All ensemble members use the NEMO-ERSEM model suite and cover the 1990-2099 period. Easch member is foced with a different set of atmospheric and oceanic boundary conditions from one of three CMIP5 ESMs that are: HADGEM2-ES, IPSL-CM5A-MR and GFDL-ESM2G. This dataset contains monthly average values saved as 2D fields either near-bottom, at the surface or depth integrated. The variables here saved are near-bottom oxygen, oxygen solubility, oxygen saturation state, temperature and bacterial respiration, surface salinity, depth integrated net primary production, and potential energy anomaly. Additionally the Western Norwegian Trench Current flux is provided (its values come smoothed with a gaussian filter). reference publication: https://doi.org/10.5194/egusphere-2023-1049. The complete set of variables is available from the authors upon request. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/8283354 |
| Title | Selected near-bottom and other variables from NW European shelf physics-biogeochemistry downscaled ocean climate projections, 3-member ensemble. |
| Description | Selected fields of physical and biogeochemical ocean variables from a 3-member ensemble of coupled physics-biogeochemistry downscaled climate runs on the North Western European Continental Shelf. All ensemble members use the NEMO-ERSEM model suite and cover the 1990-2099 period. Easch member is foced with a different set of atmospheric and oceanic boundary conditions from one of three CMIP5 ESMs that are: HADGEM2-ES, IPSL-CM5A-MR and GFDL-ESM2G. This dataset contains monthly average values saved as 2D fields either near-bottom, at the surface or depth integrated. The variables here saved are near-bottom oxygen, oxygen solubility, oxygen saturation state, temperature and bacterial respiration, surface salinity, depth integrated net primary production, and potential energy anomaly. Additionally the Western Norwegian Trench Current flux is provided (its values come smoothed with a gaussian filter). reference publication: https://doi.org/10.5194/egusphere-2023-1049. The complete set of variables is available from the authors upon request. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/8283355 |
| Title | Shellsim-ERSEM Heavy-Metal |
| Description | We developed a new branch of the Shellfish growth and population model ShellSIM aimed at simulationg the effects of heavy metals on the growth of shellfish growth. The model is parameterized with literature data for the blue mussel Mytilus Edulis exposed to Copper and allows to assess changes in individual growth and population dynamics under varying seawater heavy metal concentrations. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | This module was developed in the context of the South West Partnership for Environmental and Economic Prosperity (SWEEP) project and will be used to assess the potential impact of Heavy metal discharge on local shellfish production. |
| URL | https://gitlab.ecosystem-modelling.pml.ac.uk/yuti/ShellSIM-Fortran |
| Title | Shellsim-ERSEM microplastics |
| Description | We developed a new branch of the shellfish growth and population model ShellSim, intended to simulate free floating microplastics and their ingestion, processing, retention and excretion by the blue mussel Mytilus Edulis. This model can be coupled with biogeochemical model ERSEM and allows to simulate the uptake of microplastics by shellfish and their fate in the environment. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The model was developed in the context of the Mussel Power project and is aimed at assessing the potential of mussel beads as a nature-based solution for depurating riverine discharge from microplastics. |
| URL | https://gitlab.ecosystem-modelling.pml.ac.uk/yuti/ShellSIM-Fortran |
| Title | Station L4 phytoplankton time-series (Utermöhl counts) |
| Description | The long-term monitoring of phytoplankton community structure at Station L4 enters its 29th year with new data collected on a weekly basis. Taxa-specific abundance data 2017-2018 was submitted to BODC and made available to internal and external users on request. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Station L4 phytoplankton time-series data has contributed to several peer-reviewed papers. Requests to use the time-series data set have been received from the UK (Marine Biological Association, University of Plymouth, University of Southampton, CEFAS), Ireland, Denmark, Germany, Canada, USA, and Russia. The data also form part of the on-going ICES WGPME and IGMETS research to investigate taxa and group specific patterns and changes in the North Atlantic. |
| URL | http://www.westernchannelobservatory.org.uk/l4_phytoplankton |
| Title | Supplementary code from A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns |
| Description | Code used in data processing, analysis and figure generation |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Supplementary_code_from_A_17-year_time-series_of_fungal_env... |
| Title | Supplementary code from A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns |
| Description | Code used in data processing, analysis and figure generation |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Supplementary_code_from_A_17-year_time-series_of_fungal_env... |
| Title | Table of genes responsive to high pH treatment; Table of genes responsive to low pH treatment from The impacts of past, present and future ocean chemistry on predatory planktonic snails |
| Description | Genes responsive to the high pH treatment grouped by potential functional categories. Differential gene expression was performed using the DESeq2 based in the pairwise comparison present vs. past (i.e. ambient vs. high pH); Genes responsive to the low pH treatment grouped by potential functional categories. Differential gene expression was performed using the DESeq2 package based in the pairwise comparison future vs. present (i.e. low pH vs. ambient) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Table_of_genes_responsive_to_high_pH_treatment_Table_of_gen... |
| Title | Table of genes responsive to high pH treatment; Table of genes responsive to low pH treatment from The impacts of past, present and future ocean chemistry on predatory planktonic snails |
| Description | Genes responsive to the high pH treatment grouped by potential functional categories. Differential gene expression was performed using the DESeq2 based in the pairwise comparison present vs. past (i.e. ambient vs. high pH); Genes responsive to the low pH treatment grouped by potential functional categories. Differential gene expression was performed using the DESeq2 package based in the pairwise comparison future vs. present (i.e. low pH vs. ambient) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Table_of_genes_responsive_to_high_pH_treatment_Table_of_gen... |
| Title | Table of genes responsive to high pH treatment; Table of genes responsive to low pH treatment from The impacts of past, present and future ocean chemistry on predatory planktonic snails |
| Description | Genes responsive to the high pH treatment grouped by potential functional categories. Differential gene expression was performed using the DESeq2 based in the pairwise comparison present vs. past (i.e. ambient vs. high pH); Genes responsive to the low pH treatment grouped by potential functional categories. Differential gene expression was performed using the DESeq2 package based in the pairwise comparison future vs. present (i.e. low pH vs. ambient) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Table_of_genes_responsive_to_high_pH_treatment_Table_of_gen... |
| Title | Tables S1-S5 from Divergent paths in the evolutionary history of maternally transmitted clam symbionts |
| Description | Supplementary tables S1 to S5 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Tables_S1-S5_from_Divergent_paths_in_the_evolutionary_histo... |
| Title | Tables S1-S5 from Divergent paths in the evolutionary history of maternally transmitted clam symbionts |
| Description | Supplementary tables S1 to S5 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Tables_S1-S5_from_Divergent_paths_in_the_evolutionary_histo... |
| Title | Tables S6-S10 from Divergent paths in the evolutionary history of maternally transmitted clam symbionts |
| Description | Supplementary tables S6 to S10 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Tables_S6-S10_from_Divergent_paths_in_the_evolutionary_hist... |
| Title | Tables S6-S10 from Divergent paths in the evolutionary history of maternally transmitted clam symbionts |
| Description | Supplementary tables S6 to S10 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Tables_S6-S10_from_Divergent_paths_in_the_evolutionary_hist... |
| Title | Tamar high resolution hydrodynamics model 2017 |
| Description | A version of the Tamar estuary FVCOM model with extra outputs to study the small scale hydrodynamic features of estuary and sound area. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | Understanding of the features in the Plymouth sound relevant to mixing which will feed into work on pollution transport |
| Title | Taxonomy from A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns |
| Description | Curated taxonomy for fungal ASVs |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Taxonomy_from_A_17-year_time-series_of_fungal_environmental... |
| Title | Taxonomy from A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns |
| Description | Curated taxonomy for fungal ASVs |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Taxonomy_from_A_17-year_time-series_of_fungal_environmental... |
| Title | Temperature, corrected depth and salinity data from 5 Star Oddi DST sensors, placed at various depths below the PAP-SO (PAP1) buoy at the Porcupine Abyssal Plain. Data from 29/07/2011 to 02/05/2012 at 15 minute resolution, deployed on JC062, recovered... |
| Description | Temperature, depth and salinity data from 5 Star Oddi DST sensors, placed at various depths below the PAP1 buoy at the Porcupine Abyssal Plain - Sustained Observatory. Collected as part of the long term time-series dataset of essential ocean variables under Eurosites EU project, Oceans2025. Raw and adjusted depth data (corrected using post calibration CTDs. Sensors were Deployed at nominal depths ranging 2-30 m on the PAP1 mooring chain between the buoy and the frame. Adjustments to depth ranged from -8.5 m to 1.55 m depending on the DST). Data range from 29/07/2011 to 02/05/2012 at 15 minute resolution, deployed during JC062 and recovered during JC071 by scientists at the National Oceanography Centre, Southampton. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | continuation of open ocean time series |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/07e9cff4-a0b7-37da-e063-6c86abc... |
| Title | Terrain Point Cloud data of a Deep-Sea Cliff offshore Greenland and the Associated Epibenthic Fauna |
| Description | Terrain data retrieved with a forward-looking sonar (Reson7125) the ROV Isis (NOC, UK) used to map a deep-sea wall located offshore the West coast of Greenland (Labrador Sea, [63°51.9'N, 53°16.9'W, depth: 703 to 803 m]) with a high resolution. The file contains a 3D point cloud storing terrain variables derived from the bathymetry [m] and backscatter [nominal unit] extracted at a resolution of 0.3 m. Different terrain descriptors were computed: Slope, Bathymetric Position Index (BPI), Terrain Ruggedness Index, Roughness, Mean and Gaussian curvatures and orientations (Northness and Eastness), at scales of 0.9, 3 and 9 m. Using a Principal Component Analysis (PCA), the terrain descriptors enabled to retrieve 4 terrain clusters and their associated confusion index, to investigate the spatial heterogeneity of the terrain. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://doi.pangaea.de/10.1594/PANGAEA.942834 |
| Title | Terrigenous DOC implemented in ERSEM |
| Description | Two new state variables describing riverine dissolved organic carbon have been implemented in the ERSEM model. The two state variables, describing photo-labile and non photolabile terrigenous DOC, respectively, have been coded following a recently published paper (Anderson et al., 2019) |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | This development will allow ERSEM to simulate terrigenous DOC and therefore to investigate the impact of this carbon source (so far neglected in marine models) on the marine carbon cycle. |
| Title | Two-way coupled NEMO-FABM-ERSEM model on the AMM7 domain |
| Description | A spectrally resolved bio-optical module driving biogeochemistry is used here to drive also the heat fluxes. Since the module attenuates light based on the ERSEM tracer distributions, the development introduces a feedback from biogeochemistry to physics (a two-way coupling between physics and biogeochemistry). |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Improvement in the skill of both physical and biogeochemical model. Produced a manuscript that is going to be soon submitted to JGR-Oceans. |
| Title | UKESM1-forced BORIS-1 seafloor biomass under CMIP6 SSPs |
| Description | Annual mean seafloor biomass for periods 1980 to 2014 (Historical) and 2015 to 2100 (Future) for Shared Socioeconomic Pathways SSP126 to SSP585. Simulations use the benthic BORIS model (Kelly-Gerreyn et al., Biogeosciences, 2014) forced using output from the UKESM1 model (Sellar et al., JAMES, 2019; Yool et al., GMD, 2021) in the same experimental design used in Yool et al. (GCB, 2017). Simulations use Matlab v2020a. Each file contains seafloor detritus, total seafloor biomass and seafloor biomass for each of BORIS-1's 16 size classes. Kelly-Gerreyn, B. A., Martin, A. P., Bett, B. J., Anderson, T. R., Kaariainen, J. I., Main, C. E., Marcinko, C. J., and Yool, A.: Benthic biomass size spectra in shelf and deep-sea sediments, Biogeosciences, 11, 6401-6416, https://doi.org/10.5194/bg-11-6401-2014, 2014. Sellar, A. A., Jones, C. G., Mulcahy, J., Tang, Y., Yool, A., Wiltshire, A. O'Connor, F. M., Stringer, M., Hill, R., Palmiéri, J., Woodward, S., de Mora, L., Kuhlbrodt, T., Rumbold, S., Kelley, D. I., Ellis, R., Johnson, C. E., Walton, J., Abraham, N. L., Andrews, M. B., Andrews, T., Archibald, A. T., Berthou, S., Burke, E., Blockley, E., Carslaw, K., Dalvi, M., Edwards, J., Folberth, G. A., Gedney, N., Griffiths, P. T., Harper, A. B., Hendry, M. A., Hewitt, A. J., Johnson, B., Jones, A., Jones, C. D., Keeble, J., Liddicoat, S., Morgenstern, O., Parker, R. J., Predoi, V., Robertson, E., Siahaan, A., Smith, R. S., Swaminathan, R.,Woodhouse, M., Zeng, G., and Zerroukat, M.: UKESM1: Description and evaluation of the UK Earth System Model, J. Adv. Model. Earth Sy., U J. Adv. Model. Earth Sy., 11, 4513-4558, https://doi.org/10.1029/2019MS001739, 2019. Yool, A., Palmiéri, J., Jones, C. G., de Mora, L., Kuhlbrodt, T., Popova, E. E., Nurser, A. J. G., Hirschi, J., Blaker, A. T., Coward, A. C., Blockley, E. W., and Sellar, A. A.: Evaluating the physical and biogeochemical state of the global ocean component of UKESM1 in CMIP6 historical simulations, Geosci. Model Dev., 14, 3437-3472, https://doi.org/10.5194/gmd-14-3437-2021, 2021. Yool, A., Martin, A.P., Anderson, T.R., Bett, B.J., Jones, D.O.B., Ruhl, H.A.: Big in the benthos: Future change of seafloor community biomass in a global, body size-resolved model. Glob Change Biol., 23: 3554- 3566, https://doi.org/10.1111/gcb.13680, 2017. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/7305145 |
| Title | UKESM1-forced BORIS-1 seafloor biomass under CMIP6 SSPs |
| Description | Change in total simulated seafloor biomass between the late Scenario period (2081-2100) and late Historical period (1995-2014) under the SSP scenarios 126 to 585. Simulations use the benthic BORIS model (Kelly-Gerreyn et al., Biogeosciences, 2014) forced using output from the UKESM1 model (Sellar et al., JAMES, 2019; Yool et al., GMD, 2021) in the same experimental design used in Yool et al. (GCB, 2017). Simulations use Matlab v2020a. Kelly-Gerreyn, B. A., Martin, A. P., Bett, B. J., Anderson, T. R., Kaariainen, J. I., Main, C. E., Marcinko, C. J., and Yool, A.: Benthic biomass size spectra in shelf and deep-sea sediments, Biogeosciences, 11, 6401-6416, https://doi.org/10.5194/bg-11-6401-2014, 2014. Sellar, A. A., Jones, C. G., Mulcahy, J., Tang, Y., Yool, A., Wiltshire, A. O'Connor, F. M., Stringer, M., Hill, R., Palmiéri, J., Woodward, S., de Mora, L., Kuhlbrodt, T., Rumbold, S., Kelley, D. I., Ellis, R., Johnson, C. E., Walton, J., Abraham, N. L., Andrews, M. B., Andrews, T., Archibald, A. T., Berthou, S., Burke, E., Blockley, E., Carslaw, K., Dalvi, M., Edwards, J., Folberth, G. A., Gedney, N., Griffiths, P. T., Harper, A. B., Hendry, M. A., Hewitt, A. J., Johnson, B., Jones, A., Jones, C. D., Keeble, J., Liddicoat, S., Morgenstern, O., Parker, R. J., Predoi, V., Robertson, E., Siahaan, A., Smith, R. S., Swaminathan, R.,Woodhouse, M., Zeng, G., and Zerroukat, M.: UKESM1: Description and evaluation of the UK Earth System Model, J. Adv. Model. Earth Sy., U J. Adv. Model. Earth Sy., 11, 4513-4558, https://doi.org/10.1029/2019MS001739, 2019. Yool, A., Palmiéri, J., Jones, C. G., de Mora, L., Kuhlbrodt, T., Popova, E. E., Nurser, A. J. G., Hirschi, J., Blaker, A. T., Coward, A. C., Blockley, E. W., and Sellar, A. A.: Evaluating the physical and biogeochemical state of the global ocean component of UKESM1 in CMIP6 historical simulations, Geosci. Model Dev., 14, 3437-3472, https://doi.org/10.5194/gmd-14-3437-2021, 2021. Yool, A., Martin, A.P., Anderson, T.R., Bett, B.J., Jones, D.O.B., Ruhl, H.A.: Big in the benthos: Future change of seafloor community biomass in a global, body size-resolved model. Glob Change Biol., 23: 3554- 3566, https://doi.org/10.1111/gcb.13680, 2017. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/4977113 |
| Title | UniDOM model in ERSEM |
| Description | this is a module of ERSEM aimed at simulating processing of terrigenous DOM in the marine environment. it builds on the work of Anderson et al., 2019, but it uses multiple fixed age pool of DOM instead of a single aging DOM pool |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | none yet |
| URL | https://gitlab.em.pml.ac.uk |
| Title | Updated configuration files for GOTM-FABM-ERSEM at L4: 2002-2020 |
| Description | Configuration files for GOTM-FABM ERSEM have been updated and extended from 2016 to 2020. New methods have been developed that will allow easier updates of these files on a more frequent basis than previously. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | These files are used to GOTM-FABM-ERSEM and will underpin multiple publications for ERSEM. |
| URL | https://github.com/pmlmodelling/ersem-setups |
| Title | Updated estimates of CO2 and N2O air-sea fluxes from the NWES in the period 1990-2017 |
| Description | A new set of daily fluxes has been produced using the model NEMO-ERSEM on the AMM7 domain, using improved atmospheric forcing (ERA5) and improved riverine forcing for UK rivers (from UKCEH). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | this simulation served as reference for the scenario simulation and has been shared with UKCEH, the MetOffice and University of Bristol for the emisison modelling of CO2 and N2O |
| Title | Valente et al. incl. Tilstone. A compilation of global bio-optical in situ data for ocean-colour satellite applications - version three. PANGAEA |
| Description | global bio-optical in situ data for ocean-colour satellite applications |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | A global compilation of in situ data is vital to evaluate the quality of ocean-colour satellite data records. Here, we describe data compiled for the validation of ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The data were acquired from several sources (including, inter alia, MOBY, BOUSSOLE, AERONET-OC, SeaBASS, NOMAD, MERMAID, AMT, ICES, HOT, GeP&CO) and span the period from 1997 to 2021. Observations of the following variables were compiled: spectral remote-sensing reflectance, concentration of chlorophyll-a, spectral inherent optical properties, spectral diffuse attenuation coefficient and total suspended matter. The data were obtained from multi-project archives acquired via open internet services, or from individual projects, acquired directly from data providers. Methodologies were implemented for homogenisation, quality control and merging of all data. |
| URL | https://doi.pangaea.de/10.1594/PANGAEA.941318 |
| Title | Wave-sea ice-ocean global model NEMOv3.6-CICE5-WIM-ECWAM |
| Description | A partially coupled global ocean-sea ice-waves model has been developed by Drs Lucia Hosekova, Yevgeny Aksenov and Stefanie Rynders (NOC) for the model configuration NEMOv3.6-CICE5-WIM-ECWAM. The model has a fully interactive sea ice-wave model component - the Waves in Ice Module (WIM) which accounts for the process of the sea ice break up by waves, wave attenuation and propagation inside sea ice cover, wave-induced ocean mixing and melting of broken ice floes. The CICE5 model features a combined collisional-pack ice rheology, Elastic-Viscous-Plastic-Collisional rheology (EVPC) also developed and implemented by Drs Stefanie Rynders and Yevgeny Aksenov from the theoretical and analytical development by Feltham (2005), with several updates, including numerical solver for sea ice kinetic energy (granular temperature) evolution, and wave surge pressure. CICE5-WIM module simulates prognostic parameters of the sea ice floe sizes distribution, while using semi-empirical power law reconstruction of the floe sizes distribution after wave break up. CICE5-WIM modelling component is fully coupled to the ocean model NEMO and the whole modelling system is forced with the atmospheric re-analysis DFS5 and the wave fields from ECMWF wave model WAM (ECWAM). The partially coupled model has been configured and tested for the decadal integrations at 1 deg. and 1/4 deg. horizontal resolution (NEMO model grid). Digital Object Identifier 10.1007/978-3-030-80439-8_12 |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The model improves predictions of the ocean and sea state in the ice covered areas, with applications for climate, forecasting, off-shore safety and marine industries by providing additional and more accurate information on the sea state in the ice-covered oceans, ice drift and dynamical ice stresses, ice fragmentation and floe sizes and the state of the upper ocean and mixed layer. The model development improved mixed layer depth simulations in the global models, providing ways to improve physical and biogeochemical model biases in the present climate model runs. The model is not more computationally expensive to run than conventional NEMO-CICE model, opening a way for the multi-decadal present and future climate simulations. The results feed in the NERC projects LTSM ORCHESTRA/ENCORE, "Towards the Marginal Arctic Sea Ice", PREMelt and LTSS CLASS and in inform the NEMO-SI3 model development strategy. |
| URL | https://doi.org/10.1007/978-3-030-80439-8_12 |
| Title | Western Channel Observatory (L4) nutrient concentration profiles (2000 - 2018) |
| Description | Results are reported for the analysis of water samples taken from the L4 long-term sampling station (50 15.0'N; 04 13.0'W) situated off the southwest coast of England, United Kingdom. The analyses are reported for Nitrate+Nitrite, Nitrite, Silicate and Phosphate concentrations, for samples that are both filtered and unfiltered. The dataset begins in 2000 and runs through to 2018. Since 2007 the site visits have been on a more regular almost weekly sampling protocol. A classical picture is seen of generally summer nutrient depletion and with higher winter concentrations of Nitrate, Silicate and Phosphate, however particularly in wet summers like 2012 there is a big influence of the River Tamar and spikes of high nutrient loads are seen being introduced into this nearshore sampling site. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Nutrient data is used to regularly update on line web database for the Western Channel Observatory site. |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/99e479eb-68a0-409a-e053-6c86abc... |
| Title | Western Channel Observatory: L4 and E1 Microbial methanol uptake rates, virus numbers & diversity of xoxF5 genes. |
| Description | A one-year time-series was conducted with the objectives of (i) characterising the seasonal variability in microbial methanol uptake rates throughout the water column, and (ii) determine whether any relationships exist with virus abundances, biogeochemical parameters and/or bacterial groups. Sampling was carried out between August 2017 and September 2018, with water samples used to determine the microbial methanol uptake (dissimilation and assimilation) and bacterial production rates. Additionally, samples were taken to investigate the virus abundances, bacterial abundances and DNA was extracted from 0.2 µm filters to investigate the taxonomic diversity of the 16S rRNA (V4 Region) and xoxF5 genes at surface and bottom depths. Samples from L4 were taken from different depths (2 m, 10 m, 25 m and 50 m), but assimilation was only determined at surface and 50 m depth. Similarly, at E1, water samples for uptake rates and virus abundances were determined at the surface and 60 m. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | No |
| Impact | Kevin past his Viva February 2020 with minor corrections. |
| Title | Zooplankton abundance time series from net hauls at site L4 off Plymouth, UK between 1988-2019. |
| Description | Ongoing zooplankton research at the Plymouth Marine Laboratory has established a time series of zooplankton species since 1988 at L4, a coastal station off Plymouth, UK. Weekly samples are collected by vertical net hauls (WP2 net, mesh 200 µm; UNESCO 1968) from the sea floor (approximately 50 m) to the surface and stored in 4% buffered formalin. Results presented are n/m3 mean values from two replicate hauls made on each sampling timepoint. Some of the zooplankton analysis has been to the level of "major taxonomic groups" only, and a number of different analysts have participated over the years. The level of expertise has generally been consistent, but the user should be aware that levels of taxonomic discrimination may vary during the course of the data-set, please see metadata table for more information on this and the description document regarding complexities of the dataset. It is encouraged that users of the data maintain contact with originators of the dataset to prevent misuse or misunderstanding of the data provided due to the complex nature and temporal coverage of the data provided. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | It provides the most recent update of a long time series (30 years) of weekly resolution data on zooplankton which is widely requested by researchers worldwide for examining climate change impacts, ecosystem function and model development. It is also widely requested as an educational toll by undergraduate and postgraduate students for the projects. The dataset is used for policy reporting obligations at UK- and OSPAR level and contributes to a series of status reports and report cards (e.g. MCCIP, ICES etc) as well as numerous publications |
| URL | https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/b6c08649-22af-3468-e053-6c86abc... |
| Title | coupled physics-biogeochemistry simulations of the NW European shelf, for the period 2006-2050 under IPCC's RCP4.5 and RCP8.5 scenarios |
| Description | this database was produced with NEMO/ERSEM, on-line coupled physics-biogeochemistry, models run at medium resolution (~7km horizontal resolution and 51 vertical levels). The domain is the North Western European Shelf (20W to 13E, 40N to 65N). The output include daily and monthly means of physical variables like temperature and salinity, and a selection of biogeochemical variables. Two simulations have been produced, corresponding to IPCC's RCP4.5 and RCP8.5 emission scenarios. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The data are now online on the Copernicus website and accessible to the scientific community. |
| URL | https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-marine-properties?tab=overview |
| Title | ensemble of coupled physics-biogeochemistry simulations of the NW European shelf, for the period 1980-2100 |
| Description | we produced a mini-ensemble (three members) of coupled physics-biogeochemistry simulations for the North-Western European shelf domain, covering the period 1980-2100. The ensemble members were all forced with data from the same earth system model (GFDL-ESM2G, developed by the Geophysical Fluid Dynamics Laboratory of NOAA), share the same physics, but differ in the configuration of the ERSEM biogeochemical model. Namely the three versions of ERSEM used are the regular one complete with four phytoplankton and three zooplankton functional types and variable stoichiometry, NPZD (just one phyto- and one zooplankton group) and Fixes Stoichiometry (all plankton functional types but fixed stoichiometry within them). |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | No |
| Impact | the model ensemble produced (still to be completed with additional members) will enable better confidence when estimating the impacts of long term climate change on the north western European shelf marine systems. |
| Title | fabm-spectral: spectrally resolved light modelling |
| Description | Spectrally resolved light model for improved predictions of underwater light, allowing better predictions of photosynthesis, photodegradation/photobleaching (by UV) and heating ue to underwater light absorption. The model is coded within FABM (http://fabm.net) to support use in 1D and 3D hydrodynamic models, and direct linking to ecosystem models including ERSEM. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Contributing to projects funded by Copernicus - Marine environment monitoring service (OPTIMA) and NERC (CAMPUS), already used by colleagues internationally. |
| Title | inclusion of new processes to reduce numerical mixing in the NEMO ocean model |
| Description | We have included and tested at 1/4 degree resolution, new processes which significantly reduce undesirable numerical mixing and model drift from observations. These include a new vertical coordinate which moves up and down with oceanic wave motions, a more accurate scheme to handle movement of temperature and salinity due to ocean currents (advection), and improved methods to handle viscous drag on ocean currents. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | These improvements will go into the next version of the UK earth system model and Met Office forecasting systems (including the next round of climate projections) |
| Title | natural emissions of CO2 and N2O from the North Western European Shelf |
| Description | This simulation provide the natural component of the air-sea fluxes of CO2 and N2O and it has been implemented by removing all anthropogenic nutrient emission from the rivers. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | this simulation allowed to estimate the anthropogenic contribution to air-sea CO2 and N2O fluxes |
| Title | new model formulation describing viral lysis in ERSEM |
| Description | A new model formulation has been developed and implemented in the primary production module of the ERSEM model. According to experimental evidences, viral lysis is assumed to increase with the growth rate of the phytoplankton host. This implies an inverse relationship between nutrient limitation and lysis. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | The new formulation implies reduced viral lysis in the oligotrophic region of the ocean. This has the potential to affect the way we simulate carbon cycle in the ocean, notably primary production and dissolved organic carbon production and fate. |
| Title | pathogens in ERSEM |
| Description | a new module for ERSEM has been developed to simulate transport and decay of pathogens in seawater |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | none yet |
| URL | https://gitlab.em.pml.ac.uk |
| Title | two-member ensemble of physics-biogeochemistry simulations of the north-western european shelf |
| Description | We run a two members ensemble of regional coupled physics-biogechemistry simlations of the North-Western European Shelf for the period 1990-2100. The simu lations were produced with coupled NEMO (ocean physics) and ERSEM (biogeochemistry) models at an horizontal resolution of circa 7km and discreized in 51 v ertical depth levels (sigma cohordinates). The setup of the two models is identical but the external forcings are from two different Earth System Models: IPSL-CM5A-MR (developed by the CLimate Modelling Centre of the The Institut Pierre Simon Laplace) and GFDL-ESM2G (developed by the Geophysical Fluid Dynamics Laboratory of NOAA). |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | No |
| Impact | The model output will foster the understanding of ocean dynamics and climate change impacts in the North-Western European shelf and, by using the same model with different and contrasting boundary conditions, will help to better characterise the range of the possible futures and associated uncertainty for this geographical area. |
| Description | "Eddy Properties and Impacts in the Changing Arctic" (EPICA) |
| Organisation | Alfred-Wegener Institute for Polar and Marine Research |
| Department | Geoscientific Department |
| Country | Germany |
| Sector | Private |
| PI Contribution | High-resolution simulations of ocean NEMO model coupled to the novel sea ice model SI3 to assess impacts of (sub)mesoscale eddies in the Arctic Ocean, during the MOSAiC period on sea ice, mixing, transport of water masses in the ocean, and small-scale turbulent processes. |
| Collaborator Contribution | The project partners will combine the high-resolution modelling capabilities offered by the multi-resolution Finite volumE Sea ice-Ocean Model (FESOM) with the unique year-round data collected during the MOSAiC campaign; will synthesize the observational data with model results to study processes forming eddies, understand the importance of eddies for the ocean, sea ice and air-sea exchange, estimate ocean internal variability relative to forced variability, and derive eddy diffusivity which can help to improve eddy parameterisations, thus the fidelity of climate models. |
| Impact | High resolution model integrations and comparison with MOSAiC data. |
| Start Year | 2021 |
| Description | AMT collaboration with ERC funded ANTICS (NOC) project |
| Organisation | National Oceanography Centre |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Hosted ANTICS team on AMT cruise. Cruise logistics, organisation and manamgement. Sharing of core data and integration of ANTICS into AMT portfolio of activities |
| Collaborator Contribution | Participation in AMT 30 cruise. Measurements associated with flux and export of marine particles |
| Impact | None yet |
| Start Year | 2022 |
| Description | AMT collaboration with H2020 funded Mission Atlantic project (U of Exeter) |
| Organisation | University of Exeter |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Access to samples collected over 28 years during AMT cruises. Organisation and management of AMT30 cruise, access to all AMT data, integration of Mayors Mission Atlantic project into AMT activities |
| Collaborator Contribution | Collection and determination of Zooplankton biodiversity and biomass during AMT30 cruise and on archived samples from AMT1 to AMT29 |
| Impact | none yet |
| Start Year | 2022 |
| Description | AMT collaboration with NASA |
| Organisation | National Aeronautics and Space Administration (NASA) |
| Country | United States |
| Sector | Public |
| PI Contribution | Proviision of 2 x berths on AMT cruise, organisation and management of AMT30 research cruise, integration of NASA scientists with AMT activities, access to AMT data. |
| Collaborator Contribution | Measurement of optical properties in surface seawater, fully integrated and complimentary to AMT-PML actvities |
| Impact | none yet |
| Start Year | 2022 |
| Description | Antarctic modelling |
| Organisation | Korea Polar Research Institute |
| Country | Korea, Republic of |
| Sector | Public |
| PI Contribution | we have supported a PhD student in developing a coupled of models for the Antartcic shelf, one on carbon monoxide (CO) production and one on sea ice algae |
| Collaborator Contribution | the student contributed with developing large part of the code |
| Impact | CO model |
| Start Year | 2019 |
| Description | AtlantECO project includes particle flux measurements at PAP-SO |
| Organisation | Stazione Zoologica Anton Dohrn |
| Country | Italy |
| Sector | Private |
| PI Contribution | Particle flux and microplastic research, PAP-SO, NOG and SOG |
| Collaborator Contribution | Partnership across Europe looking at microplastics and carbon flux |
| Impact | opportunity to analyse microplastic and POC samples from PAP-SO |
| Start Year | 2019 |
| Description | CEFAS lowestoft lab |
| Organisation | Centre For Environment, Fisheries And Aquaculture Science |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | We collaborate with CEFAS Lowestoft on the development and application of new sensor technologies for their operational and research requirements. We provide sensors R&D, deliver sensors we have developed, as well as with operational support of demonstration deployments and operational data gathering campaigns. |
| Collaborator Contribution | CEFAS Lowestoft provide access to operational infrastructure including instrumented buoys, autonomous vehicles and ships often with co-sampling that can be used to benchmark sensor performance which is essential for demonstrating sensor performance and value in an application. They also supply operational and scientific knowledge of applications enabling the technology to have enhanced impact into resource management and policy. |
| Impact | Deployment of nutrient sensors on the RV Endevour and on Smart Bouys in the Thames and coastal sites |
| Start Year | 2009 |
| Description | CLASS Collaboration Partners |
| Organisation | Marine Biological Association |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | X |
| Collaborator Contribution | X |
| Impact | See Publications |
| Start Year | 2020 |
| Description | CLASS Collaboration Partners |
| Organisation | Plymouth Marine Laboratory |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | X |
| Collaborator Contribution | X |
| Impact | See Publications |
| Start Year | 2020 |
| Description | CLASS Collaboration Partners |
| Organisation | Scottish Association For Marine Science |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | X |
| Collaborator Contribution | X |
| Impact | See Publications |
| Start Year | 2020 |
| Description | CLASS Collaboration Partners |
| Organisation | University of St Andrews |
| Department | Sea Mammal Research Unit |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | X |
| Collaborator Contribution | X |
| Impact | See Publications |
| Start Year | 2020 |
| Description | CLASS Early Career Fellowship for Hatton 2020 (University of Bristol) |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Early Career Researcher, training, small funding, learn from Scientists |
| Collaborator Contribution | Development & Deployment of Silicate Sensors on Ocean Gliders in the North Atlantic |
| Impact | Supported Deployment of Gliders |
| Start Year | 2020 |
| Description | CLASS Early Career Fellowship for Picard 21-24 (PhD, Université de Brretagne Occidentale (UBO) |
| Organisation | Délégation Bretagne et Pays de la Loire |
| Country | France |
| Sector | Public |
| PI Contribution | PAP Cruise, exposure to a research Cruise, training |
| Collaborator Contribution | Can we link the surface origin of biological particles to deep ocean particle flux at PAP? |
| Impact | Publication on PAP Data |
| Start Year | 2023 |
| Description | CLASS Early Career Fellowship for Sarah Cryer (University of Southampton) to extend fieldwork in Belize |
| Organisation | University of Southampton |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | CLASS provided resources to allow the student to extend her stay on site during fieldwork in Belize (funded through another project), and for analysis of the additional water samples in the laboratory back in the UK. The student will use the samples to extend her research beyond that required for her PhD, eventually leading to an additional publication. |
| Collaborator Contribution | The student will investigate how rivers contribute to coastal ocean acidification, as part of a project to develop and test innovative new sensors and platforms to determine whether they are able to monitor both hourly variations in acidity, as well as longer-term trends. This will enhance CLASS objectives around sensor and platform development. |
| Impact | New data set of coastal carbonate chemistry (Belize) |
| Start Year | 2019 |
| Description | CLASS Early Career Fellowship for Soutter (Uof Manchester) |
| Organisation | University of Manchester |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Early Career Researcher, small funding to do Research that would result in a publication for the project |
| Collaborator Contribution | Investigate Sedimentological and climatic controls on organic carbon transport in submarine canyons |
| Impact | Publication |
| Start Year | 2020 |
| Description | CLASS Early Career Fellowship for Theo Picard & berth on JC247 |
| Organisation | Laboratoire de la Mer |
| Country | France |
| Sector | Public |
| PI Contribution | Money to support the Fellowship: Theo Picard did a CLASS fellowship with Chelsey Baker and participated in JC247, linking the CLASS activities with the APERO programme (CLASS award at May meeting). Work involved further developing a tool that predicts the surface origin of particles measured at PAP from ocean surface images. Working with NOC researchers, Theo will improve the representation of particles within the tool to, for example, take account of variable sinking rates |
| Collaborator Contribution | Cruise |
| Impact | PAP Cruise |
| Start Year | 2023 |
| Description | CLASS Early Career Fellowship for student Lukas Marx (University of Portsmouth) to participate in CLASS research expedition JC191 |
| Organisation | University of Portsmouth |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | CLASS supported the students' cost for joining the research expedition, and for lab analysis of samples. CLASS is providing access to shiptime, and training for the student. |
| Collaborator Contribution | The student will carry out an investigation into the impacts of further phosphorus limitation in the oligotrophic North Atlantic, thereby enhancing the CLASS scientific objectives |
| Impact | Participation in research expedition JC191, collection of additional subtropical nutrient dataset |
| Start Year | 2020 |
| Description | COASTPREDICT: Observing and Predicting the Global Coastal Ocean |
| Organisation | Balearic Islands Coastal Observing and Forecasting System |
| Country | Spain |
| Sector | Public |
| PI Contribution | NOC co-lead the COASTPREDICT Focus areas: Future Coastal Ocean climates: Earth System observing and modelling |
| Collaborator Contribution | COASTPREDICT is programme endorsed by the UN Decade of Ocean Science and one of the 3 Programmes co-designed with the UNESCO International Oceanographic Commission's (IOC) Global Ocean ObservingSystem (GOOS). |
| Impact | The COASTPREDICT project has sponsored several the UN decade endorsed projects, inducing NOC led Future Coastal Ocean Climates (FLAME) |
| Start Year | 2021 |
| Description | COASTPREDICT: Observing and Predicting the Global Coastal Ocean |
| Organisation | University of Bologna |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | NOC co-lead the COASTPREDICT Focus areas: Future Coastal Ocean climates: Earth System observing and modelling |
| Collaborator Contribution | COASTPREDICT is programme endorsed by the UN Decade of Ocean Science and one of the 3 Programmes co-designed with the UNESCO International Oceanographic Commission's (IOC) Global Ocean ObservingSystem (GOOS). |
| Impact | The COASTPREDICT project has sponsored several the UN decade endorsed projects, inducing NOC led Future Coastal Ocean Climates (FLAME) |
| Start Year | 2021 |
| Description | COASTPREDICT: Observing and Predicting the Global Coastal Ocean |
| Organisation | University of Miami |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | NOC co-lead the COASTPREDICT Focus areas: Future Coastal Ocean climates: Earth System observing and modelling |
| Collaborator Contribution | COASTPREDICT is programme endorsed by the UN Decade of Ocean Science and one of the 3 Programmes co-designed with the UNESCO International Oceanographic Commission's (IOC) Global Ocean ObservingSystem (GOOS). |
| Impact | The COASTPREDICT project has sponsored several the UN decade endorsed projects, inducing NOC led Future Coastal Ocean Climates (FLAME) |
| Start Year | 2021 |
| Description | Collaboration between National Oceanography Centre, Southampton and Natural History Museum, London |
| Organisation | Natural History Museum |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | We have a long-standing relationship with the NHM. Dr Tammy Horton have been a Scientific Associate for 4 years and this was renewed in 2019. Work continued on the MoU between the institutes - refreshed at end 2019 after new NOC and updated legal terms. Current projects include work on the Historic Discovery Collections and maintaining close collaborations with Miranda Lowe (NHM Senior Curator of Invertebrates & Marla Spencer's PhD co-supervisor), Gordon Paterson (Marla Spencer's PhD co-supervisor & ISA legal & technical committee member) and Adrian Glover (WoRDSS & Abyssline & DeepSeaID). Continued collaborative work re Discovery Collections Materials held at NHM and focus on NW African Shelf material. Two loans made to NHM for exhibitions. |
| Collaborator Contribution | Curation of Historic Discovery Collections. Hosting NOC PhD candidate (Marla Spencer) |
| Impact | Continued curation of Historic Discovery Collections. Continued full-time hosting of NOC PhD candidate (Marla Spencer) |
| Description | Collaboration between PML, University of Bergen and Norwegian Research Centre on modelling the fate of plastic in the ocean |
| Organisation | NORCE Norwegian Research Center AS |
| Country | Norway |
| Sector | Academic/University |
| PI Contribution | We have been models to simulate the trans-boundary transfer of plastic pollution |
| Collaborator Contribution | Our partners have been using the outputs of our models as inputs to their models, which they have been using to study the flow of plastic into and out of Norwegian Coastal waters. |
| Impact | We prepared a briefing document for the UN, as they negotiated taking a position on developing a legally binding agreement on plastic pollution. |
| Start Year | 2019 |
| Description | Collaboration between PML, University of Bergen and Norwegian Research Centre on modelling the fate of plastic in the ocean |
| Organisation | University of Bergen |
| Country | Norway |
| Sector | Academic/University |
| PI Contribution | We have been models to simulate the trans-boundary transfer of plastic pollution |
| Collaborator Contribution | Our partners have been using the outputs of our models as inputs to their models, which they have been using to study the flow of plastic into and out of Norwegian Coastal waters. |
| Impact | We prepared a briefing document for the UN, as they negotiated taking a position on developing a legally binding agreement on plastic pollution. |
| Start Year | 2019 |
| Description | Collaboration on lebensspuren identification |
| Organisation | Senckenberg Research Institute and Nature Museum Senckenberganlage |
| Country | Germany |
| Sector | Public |
| PI Contribution | Provided ship time and imagery data for analysis, lebensspuren identification expertise |
| Collaborator Contribution | Ichnological and lebensspuren identification expertise, post doc time to conduct the analyses |
| Impact | Miguez-Salas, O, FJ Rodriguez-Tovar, A Uchman, BJ Bett, JM Durden, T Riehl, Marine lebensspuren: improving the classification of seafloor traces from underwater imagery and observations, Frontiers in Marine Science, 10.3389/fmars.2024.1371097 Miguez-Salas, O, BJ Bett, S Torres-Montilla, FJ Rodriguez-Tovar, JM Durden, Comparison of rosette-shape traces in abyssal terrains: Environmental and faunal implications, Deep-Sea Research I, 197, 104051, 10.1016/j.dsr.2023.104051 |
| Start Year | 2023 |
| Description | Collaboration on lebensspuren identification |
| Organisation | University of Granada |
| Country | Spain |
| Sector | Academic/University |
| PI Contribution | Provided ship time and imagery data for analysis, lebensspuren identification expertise |
| Collaborator Contribution | Ichnological and lebensspuren identification expertise, post doc time to conduct the analyses |
| Impact | Miguez-Salas, O, FJ Rodriguez-Tovar, A Uchman, BJ Bett, JM Durden, T Riehl, Marine lebensspuren: improving the classification of seafloor traces from underwater imagery and observations, Frontiers in Marine Science, 10.3389/fmars.2024.1371097 Miguez-Salas, O, BJ Bett, S Torres-Montilla, FJ Rodriguez-Tovar, JM Durden, Comparison of rosette-shape traces in abyssal terrains: Environmental and faunal implications, Deep-Sea Research I, 197, 104051, 10.1016/j.dsr.2023.104051 |
| Start Year | 2023 |
| Description | Collaboration regarding the other abyssal time series site (Station M, Pacific Ocean) |
| Organisation | Monterey Bay Aquarium Research Institute |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | We lead the collaboration with MBARI to compare and contrast our understanding of the function of the benthic communities at two time series sites. We contributed data from the Porcupine Abyssal Plain Sustained Observatory (NE Atlantic). |
| Collaborator Contribution | MBARI contributed data (photographic and sediment trap data) from their Station M time series site, and contributed to its analysis and interpretation. |
| Impact | Durden, JM, BJ Bett, C Huffard, HA Ruhl & KL Smith, 2019, Deep-sea deposit-feeding rates explained by the Metabolic Theory of Ecology, Ecology, 100(1), e02564, 10.1002/ecy2564 Durden, JM, BJ Bett, C Huffard, C Pebody, HA Ruhl & KL Smith, 2020, Variation in deep-sea deposit-feeders in response to carbon supply: a comparison of two time-series sites, Deep-Sea Research II, 10.1016/j.dsr2.2019.104677 |
| Start Year | 2019 |
| Description | Collaboration with Akvaplan-NIVA on modelling tools and FVCOM modelling approaches |