NOC Marine Systems Modelling
Lead Research Organisation:
NATIONAL OCEANOGRAPHY CENTRE
Department Name: UNLISTED
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
- NATIONAL OCEANOGRAPHY CENTRE (Lead Research Organisation)
- National Center for Scientific Research (Centre National de la Recherche Scientifique CNRS) (Collaboration)
- Meteorological Office UK (Collaboration)
- Mercator Océan (Collaboration)
- Euro-Mediterranean Center on Climate Change (CMCC) (Collaboration)
People |
ORCID iD |
| Jason Holt (Principal Investigator) |
Publications
Henson S
(2013)
The impact of global warming on seasonality of ocean primary production
in Biogeosciences
Skákala J
(2022)
The impact of ocean biogeochemistry on physics and its consequences for modelling shelf seas
in Ocean Modelling
Hewitt H
(2016)
The impact of resolving the Rossby radius at mid-latitudes in the ocean: results from a high-resolution version of the Met Office GC2 coupled model
in Geoscientific Model Development
Naveira Garabato A
(2013)
The Impact of Small-Scale Topography on the Dynamical Balance of the Ocean
in Journal of Physical Oceanography
Germe A
(2017)
The impacts of oceanic deep temperature perturbations in the North Atlantic on decadal climate variability and predictability
in Climate Dynamics
Evans D
(2014)
The imprint of Southern Ocean overturning on seasonal water mass variability in Drake Passage
in Journal of Geophysical Research: Oceans
Kirillov S
(2012)
The influence of atmospheric circulation on the dynamics of the intermediate water layer in the eastern part of the St. Anna Trough
in Doklady Earth Sciences
Tinker J
(2022)
The influence of tides on the North West European shelf winter residual circulation
in Frontiers in Marine Science
Anderson T
(2012)
The legacy of Gordon Arthur Riley (1911-1985) and the development of mathematical models in biological oceanography
in Journal of Marine Research
Quartly G
(2023)
The link between surface and sub-surface chlorophyll-a in the centre of the Atlantic subtropical gyres: a comparison of observations and models
in Frontiers in Marine Science
Rousset C
(2015)
The Louvain-La-Neuve sea ice model LIM3.6: global and regional capabilities
in Geoscientific Model Development
Jacobs Z
(2020)
The Major Role of Air-Sea Heat Fluxes in Driving Interannual Variations of Gulf Stream Transport
in Journal of Geophysical Research: Oceans
Hemmings JCP
(2013)
The Marine Model Optimization Testbed (MarMOT)
Zodiatis G
(2016)
The Mediterranean Decision Support System for Marine Safety dedicated to oil slicks predictions
in Deep Sea Research Part II: Topical Studies in Oceanography
Jordà G
(2017)
The Mediterranean Sea heat and mass budgets: Estimates, uncertainties and perspectives
in Progress in Oceanography
Williams K
(2015)
The Met Office Global Coupled model 2.0 (GC2) configuration
in Geoscientific Model Development
Williams K
(2018)
The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) Configurations
in Journal of Advances in Modeling Earth Systems
Aksenov Y
(2010)
The North Atlantic inflow to the Arctic Ocean: High-resolution model study
in Journal of Marine Systems
Smeed D
(2018)
The North Atlantic Ocean Is in a State of Reduced Overturning
in Geophysical Research Letters
Marzocchi A
(2015)
The North Atlantic subpolar circulation in an eddy-resolving global ocean model
in Journal of Marine Systems
Samson G
(2014)
The NOW regional coupled model: Application to the tropical Indian Ocean climate and tropical cyclone activity
in Journal of Advances in Modeling Earth Systems
Martin A
(2020)
The oceans' twilight zone must be studied now, before it is too late.
in Nature
Clement Kinney J
(2014)
The Pacific Arctic Region - Ecosystem Status and Trends in a Rapidly Changing Environment
Bruggeman J
(2022)
The paralarval stage as key to predicting squid catch: Hints from a process-based model
in Deep Sea Research Part II: Topical Studies in Oceanography
Brereton A
(2019)
The perturbation method - A novel large-eddy simulation technique to model realistic turbulence: Application to tidal flow
in Ocean Modelling
Josey SA
(2018)
The Recent Atlantic Cold Anomaly: Causes, Consequences, and Related Phenomena.
in Annual review of marine science
Castillo J
(2022)
The Regional Coupled Suite (RCS-IND1): application of a flexible regional coupled modelling framework to the Indian region at kilometre scale
in Geoscientific Model Development
Hallam S
(2023)
The relationship between sea surface temperature anomalies, wind and translation speed and North Atlantic tropical cyclone rainfall over ocean and land
in Environmental Research Communications
Planchat A
(2023)
The representation of alkalinity and the carbonate pump from CMIP5 to CMIP6 Earth system models and implications for the carbon cycle
in Biogeosciences
MarÃn-Moreno H
(2013)
The response of methane hydrate beneath the seabed offshore Svalbard to ocean warming during the next three centuries
in Geophysical Research Letters
Sévellec F
(2016)
The rogue nature of hiatuses in a global warming climate
in Geophysical Research Letters
Robson J
(2022)
The Role of Anthropogenic Aerosol Forcing in the 1850-1985 Strengthening of the AMOC in CMIP6 Historical Simulations
in Journal of Climate
Williams P
(2010)
The role of mean ocean salinity in climate
in Dynamics of Atmospheres and Oceans
Anderson TR
(2017)
The role of microbes in the nutrition of detritivorous invertebrates: a stoichiometric analysis
in Frontiers in Microbiology
Terray P
(2011)
The role of the intra-daily SST variability in the Indian monsoon variability and monsoon-ENSO-IOD relationships in a global coupled model
in Climate Dynamics
Williams R
(2023)
The role of the Southern Ocean in the global climate response to carbon emissions
in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Grist J
(2010)
The roles of surface heat flux and ocean heat transport convergence in determining Atlantic Ocean temperature variability
in Ocean Dynamics
Nurser A
(2014)
The Rossby radius in the Arctic Ocean
in Ocean Science
Brannigan L
(2015)
The seasonal cycle of submesoscale flows
in Ocean Modelling
Megann A
(2010)
The Sensitivity of a Coupled Climate Model to Its Ocean Component
in Journal of Climate
Jones D
(2020)
The Sensitivity of Southeast Pacific Heat Distribution to Local and Remote Changes in Ocean Properties
in Journal of Physical Oceanography
McQuatters-Gollop A
(2024)
The silent majority: Pico- and nanoplankton as ecosystem health indicators for marine policy
in Ecological Indicators
Woodward S
(2022)
The simulation of mineral dust in the United Kingdom Earth System Model UKESM1
in Atmospheric Chemistry and Physics
Sekadende B
(2020)
The small pelagic fishery of the Pemba Channel, Tanzania: What we know and what we need to know for management under climate change
in Ocean & Coastal Management
Hopkins J
(2010)
The Southland Front, New Zealand: Variability and ENSO correlations
in Continental Shelf Research
Josey S
(2014)
The Surface-Forced Overturning of the North Atlantic: Estimates from Modern Era Atmospheric Reanalysis Datasets
in Journal of Climate
Duchez A
(2016)
The tale of a surprisingly cold blob in the North Atlantic
in US CLIVAR Variations
| Description | The mission of the Marine Systems Modelling group is to advance our understanding of the marine environment and improve our ability to predict the Earth System on timescales of days to centuries. We work at national, regional and global scales from the coasts to the open ocean and specifically consider the dynamic links between these scales. We achieve this mission through the development, application, assessment and analysis of world-leading ocean models. We aim to exploit this understanding and capability to address societally relevant issues and deliver clear and traceable impacts. |
| Exploitation Route | a wide range of scientific, innovation and policy relevant application involving ocean models. |
| Sectors | Aerospace Defence and Marine Agriculture Food and Drink Digital/Communication/Information Technologies (including Software) Environment Leisure Activities including Sports Recreation and Tourism Transport |
| URL | http://noc.ac.uk/science/research-areas/marine-systems-modelling |
| Description | The findings of this award have been used as follows:- • Climate change impacts Man-made climate change has been estimated to cost the UK economy 5-20% of Gross Domestic Product (GDP)1 amounting to £80-320 billion for 2011 GDP2. The National Oceanography Centre (NOC) is providing impartial, independent, world-leading expertise in developing the international scientific consensus that informs the Intergovernmental Panel on Climate Change (IPCC) series of Assessment Reports3. NOC provides authoritative oceanographic scientific evidence to underpin the assessments, necessary as climate change has enormous economic and societal implications. NOC research is a significant contributor to the international delivery of evidence on ocean circulation, global temperature, sea level and climate. In response to research evidence presented by the IPCC the UK parliament passed the world's first long-term legally binding framework to tackle the dangers of climate change (The Climate Change Act 20086). The act requires Government to set carbon budgets, which are limits on greenhouse gas emissions in the UK for consecutive five-year periods. In addition to IPCC assessments, NOC data and expertise, including sea-level from PSMSL (Permanent Service for Mean Sea Level), inform studies of impacts of climate change on both national and international levels [e.g. UK Marine Climate Change Impacts Partnership (MCCIP), UK Climate Impacts Programme (UKCIP), UK Foresight Flood and Coastal Defence Review, Charting Progress and Charting Progress 2 • Sustainability and health of UK National seas NOC was pivotal in providing advice and evidence feeding into UK assessments on "clean, healthy, safe, productive and biologically diverse oceans and seas". These underpin legislation aimed at achieving this vision, specifically the EU Marine Strategy Framework Directive. In the UK this took the form of the report: "Charting Progress 2 (CP2): The State of UK Seas", and the on-going Evidence Groups. Alongside this, the Marine Climate Change Impacts Partnership (MCCIP) and UKCP09 (UK Climate Projections 09) provide assessments of potential future conditions and substantially contributing to the on-going UKCP18 assessment. NOC is the leading UK organisation for providing this evidence, advice, information and future projections for physical oceanography. Its scientists were lead / co-authors for CP2 "Ocean Processes" chapter, most MCCIP science reviews, and the UKCP09 Marine Section. • Improved seasonal forecasting Improved seasonal forecasting of UK winter weather conditions months in advance is key to our ability to manage our environment and resources responsibly, and to be resilient to hazards. For instance, environmental change will affect our infrastructure (through storms, flooding and coastal erosion - particularly damaging for the South-west coastline and the Somerset levels during the winter of 2013/14), food, water and energy resources (changes to rainfall and wind) and the health of our population (the incidence of influenza is related to winter temperatures). Improved seasonal forecasting is therefore of immense societal importance for the UK population, and to our Government for planning and policy development. Many sectors of the UK economy (transport, agriculture, health, etc) need accurate forecasts of weather conditions many months in advance (seasonal forecasts) for planning purposes. These forecasts are provided to UK Government by operational systems run at the Met Office. Through a major strategic partnership, the Joint Weather and Climate Research Programme, a coordinated programme of effort has been established between NOC and the Met Office to provide the best possible ocean models to Met Office forecasting systems. New higher resolution ocean models have in this way been included in the latest seasonal forecasting systems and have led to a dramatic improvement in the skill of winter forecasts for the UK, with widespread benefits to the UK. NOC also works with Met Office in the UK Environmental Prediction Project to develop a national scale land-sea-wave-atmosphere couple system with the aim of improving forecasting of environmental hazards such as coastal flooding and extreme rain fall events. NOC plays a pivotal role in the development and assessment of marine forecasts and reanalysing products delivered by the Copernicus Marine Environmental Monitoring Service. These provide key environmental information for a range of downstream industrial, operational and policy stakeholders. |
| Sector | Aerospace, Defence and Marine,Agriculture, Food and Drink,Energy,Environment,Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Government, Democracy and Justice,Transport |
| Impact Types | Societal Economic Policy & public services |
| Description | Climate Change Impacts |
| Geographic Reach | National |
| Policy Influence Type | Citation in other policy documents |
| Impact | Man-made climate change has been estimated to cost the UK economy 5-20% of Gross Domestic Product (GDP)1 amounting to £80-320 billion for 2011 GDP2. The National Oceanography Centre (NOC) is providing impartial, independent, world-leading expertise in developing the international scientific consensus that informs the Intergovernmental Panel on Climate Change (IPCC) series of Assessment Reports3. NOC provides authoritative oceanographic scientific evidence to underpin the assessments, necessary as climate change has enormous economic and societal implications. NOC research is a significant contributor to the international delivery of evidence on ocean circulation, global temperature, sea level and climate. In response to research evidence presented by the IPCC the UK parliament passed the world's first long-term legally binding framework to tackle the dangers of climate change (The Climate Change Act 20086). The act requires Government to set carbon budgets, which are limits on greenhouse gas emissions in the UK for consecutive five-year periods. In addition to IPCC assessments, NOC data and expertise, including sea-level from PSMSL (Permanent Service for Mean Sea Level), inform studies of impacts of climate change on both national and international levels [e.g. UK Marine Climate Change Impacts Partnership (MCCIP), UK Climate Impacts Programme (UKCIP), UK Foresight Flood and Coastal Defence Review, Charting Progress and Charting Progress 2. |
| Description | Improved Seasonal Forecasting |
| Geographic Reach | Europe |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | Improved seasonal forecasting of UK winter weather conditions months in advance is key to our ability to manage our environment and resources responsibly, and to be resilient to hazards. For instance, environmental change will affect our infrastructure (through storms, flooding and coastal erosion - particularly damaging for the South-west coastline and the Somerset levels during the winter of 2013/14), food, water and energy resources (changes to rainfall and wind) and the health of our population (the incidence of influenza is related to winter temperatures). Improved seasonal forecasting is therefore of immense societal importance for the UK population, and to our Government for planning and policy development. Many sectors of the UK economy (transport, agriculture, health, etc) need accurate forecasts of weather conditions many months in advance (seasonal forecasts) for planning purposes. These forecasts are provided to UK Government by operational systems run at the Met Office. Through a major strategic partnership, the Joint Weather and Climate Research Programme, a coordinated programme of effort has been established between NOC and the Met Office to provide the best possible ocean models to Met Office forecasting systems. New higher resolution ocean models have in this way been included in the latest seasonal forecasting systems and have led to a dramatic improvement in the skill of winter forecasts for the UK, with widespread benefits to the UK. |
| Description | Sustainability and health of UK national seas |
| Geographic Reach | Asia |
| Policy Influence Type | Citation in other policy documents |
| Impact | NOC was pivotal in providing advice and evidence feeding into UK assessments on "clean, healthy, safe, productive and biologically diverse oceans and seas". These underpin legislation aimed at achieving this vision, specifically the EU Marine Strategy Framework Directive. In the UK this took the form of the report: "Charting Progress 2 (CP2): The State of UK Seas", and the on-going Evidence Groups. Alongside this, the Marine Climate Change Impacts Partnership (MCCIP) and UKCP09 (UK Climate Projections 09) provide assessments of potential future conditions. NOC is the leading UK organisation for providing this evidence, advice, information and future projections for physical oceanography. Its scientists were lead / co-authors for CP2 "Ocean Processes" chapter, most MCCIP science reviews, and the UKCP09 Marine Section. |
| 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 | NEMO Consortium |
| Organisation | Euro-Mediterranean Center on Climate Change (CMCC) |
| Country | Italy |
| Sector | Charity/Non Profit |
| PI Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
| Collaborator Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
| Impact | The consortium provides regular model code updates (currently V4). These form the basis for most model based operational, climate and research oceanography in Europe, including the UK, Frence and italian contributions the CMIP process informing the IPCC Assessment and Special Reports, and also the Copernicus Marine Environmental Monitoring Service. |
| Start Year | 2008 |
| Description | NEMO Consortium |
| Organisation | Mercator Océan |
| Country | France |
| Sector | Private |
| PI Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
| Collaborator Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
| Impact | The consortium provides regular model code updates (currently V4). These form the basis for most model based operational, climate and research oceanography in Europe, including the UK, Frence and italian contributions the CMIP process informing the IPCC Assessment and Special Reports, and also the Copernicus Marine Environmental Monitoring Service. |
| Start Year | 2008 |
| Description | NEMO Consortium |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
| Collaborator Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
| Impact | The consortium provides regular model code updates (currently V4). These form the basis for most model based operational, climate and research oceanography in Europe, including the UK, Frence and italian contributions the CMIP process informing the IPCC Assessment and Special Reports, and also the Copernicus Marine Environmental Monitoring Service. |
| Start Year | 2008 |
| Description | NEMO Consortium |
| Organisation | National Center for Scientific Research (Centre National de la Recherche Scientifique CNRS) |
| Country | France |
| Sector | Academic/University |
| PI Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
| Collaborator Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
| Impact | The consortium provides regular model code updates (currently V4). These form the basis for most model based operational, climate and research oceanography in Europe, including the UK, Frence and italian contributions the CMIP process informing the IPCC Assessment and Special Reports, and also the Copernicus Marine Environmental Monitoring Service. |
| Start Year | 2008 |
| Description | NOC and Met Office Collaboration |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Under the Joint Weather and Climate Research Programme (JWCRP) between NERC and the Met Office, we have forged a strong strategic partnership with the Met Office. This takes the form of the Joint Marine Modelling Project (JMMP; formerly JOMP; the Joint Ocean Modelling Programme and JCOMP; the Joint Coastal Ocean Modelling Programme). JMMP comprises staff from both NOC (from the Marine Systems Modelling group) and the Met Office and enables the best possible versions of the NEMO global and coastal-ocean models to be taken up into predictive systems at the Met Office (for ocean forecasting, coupled weather forecasting, seasonal prediction, decadal prediction, and climate and earth system modelling). Successive versions of NEMO are developed internationally on a regular cycle and have a number of new options. The benefit of these options are assessed both individually and in various combinations through undertaking decadal timescale simulations on MONSooN, a supercomputer facility shared between NERC and the Met Office, and identical in architecture to the main Met Office supercomputer. Once the optimal combination of options has been ascertained, the NEMO model can then be rapidly and easily taken up into the predictive systems at the Met Office. The cycle is repeated approximately every 1-2 years. The shelf seas activities, specifically support the models run operationally in the shelf sea forecasting and reanalysis system at the Met Office and delivered by the European Copernicus Marine Environmental Monitoring Service. Alongside JMMP, the National Partnership for Ocean Prediction (formally known as the National Centre for Ocean Forecasting) aims to develop and promote the application of world-leading marine products and services to stakeholders, with a focus on national and public benefit. This is achieved firstly through the integration of models, observations and scientific understanding to produce the best information and advice about the marine environment, with rigorous quality assurance and traceability; and secondly through engaging with stakeholders to understand their requirements and to maximise the beneficial use of marine products and services. |
| Collaborator Contribution | Under the Joint Weather and Climate Research Programme (JWCRP) between NERC and the Met Office, we have forged a strong strategic partnership with the Met Office. This takes the form of the Joint Marine Modelling Project (JMMP; formerly JOMP; the Joint Ocean Modelling Programme and JCOMP; the Joint Coastal Ocean Modelling Programme). JMMP comprises staff from both NOC (from the Marine Systems Modelling group) and the Met Office and enables the best possible versions of the NEMO global and coastal-ocean models to be taken up into predictive systems at the Met Office (for ocean forecasting, coupled weather forecasting, seasonal prediction, decadal prediction, and climate and earth system modelling). Successive versions of NEMO are developed internationally on a regular cycle and have a number of new options. The benefit of these options are assessed both individually and in various combinations through undertaking decadal timescale simulations on MONSooN, a supercomputer facility shared between NERC and the Met Office, and identical in architecture to the main Met Office supercomputer. Once the optimal combination of options has been ascertained, the NEMO model can then be rapidly and easily taken up into the predictive systems at the Met Office. The cycle is repeated approximately every 1-2 years. The shelf seas activities, specifically support the models run operationally in the shelf sea forecasting and reanalysis system at the Met Office and delivered by the European Copernicus Marine Environmental Monitoring Service. Alongside JMMP, the National Partnership for Ocean Prediction (formally known as the National Centre for Ocean Forecasting) aims to develop and promote the application of world-leading marine products and services to stakeholders, with a focus on national and public benefit. This is achieved firstly through the integration of models, observations and scientific understanding to produce the best information and advice about the marine environment, with rigorous quality assurance and traceability; and secondly through engaging with stakeholders to understand their requirements and to maximise the beneficial use of marine products and services. |
| Impact | NEMO model configurations. NW European Shelf Operational Copernicus service. |
| Start Year | 2008 |
| Title | The Marine Model Optimization Testbed (MarMOT) 1.1 software http://noc.ac.uk/project/marmot/marmot-11-software |
| Description | Overview document available at: http://nora.nerc.ac.uk/504004/ Types of beneficiary include: Research Council/Institute;Public Research Organisation |
| Type Of Technology | Software |
| URL | http://noc.ac.uk/project/marmot/marmot-11-software |
| Title | Vertical Discretization In NEMO |
| Description | |
| Type Of Technology | Software |