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
De Mey-Frémaux P
(2019)
Model-Observations Synergy in the Coastal Ocean
in Frontiers in Marine Science
Howard T
(2019)
Contributions to 21st century projections of extreme sea-level change around the UK
in Environmental Research Communications
Cronin M
(2019)
Air-Sea Fluxes With a Focus on Heat and Momentum
in Frontiers in Marine Science
Kendon M
(2019)
State of the UK climate 2018
in International Journal of Climatology
Gommenginger C
(2019)
SEASTAR: A Mission to Study Ocean Submesoscale Dynamics and Small-Scale Atmosphere-Ocean Processes in Coastal, Shelf and Polar Seas
in Frontiers in Marine Science
Lewis H
(2019)
Can wave coupling improve operational regional ocean forecasts for the north-west European Shelf?
in Ocean Science
Hirschi J
(2019)
Insights into Decadal North Atlantic Sea Surface Temperature and Ocean Heat Content Variability from an Eddy-Permitting Coupled Climate Model
in Journal of Climate
Anderson TR
(2019)
Remembering John Steele and his models for understanding the structure and function of marine ecosystems.
in Journal of plankton research
Docquier D
(2019)
Impact of model resolution on Arctic sea ice and North Atlantic Ocean heat transport
in Climate Dynamics
Blunden J
(2019)
State of the Climate in 2018
in Bulletin of the American Meteorological Society
Zhao Z
(2019)
Submarine platform development by erosion of a Surtseyan cone at Capelinhos, Faial Island, Azores
in Earth Surface Processes and Landforms
Van De Wal R
(2019)
Uncertainties in Long-Term Twenty-First Century Process-Based Coastal Sea-Level Projections
in Surveys in Geophysics
Qu Y
(2019)
Coastal Sea level rise around the China Seas
in Global and Planetary Change
Grist J
(2019)
Re-emergence of North Atlantic subsurface ocean temperature anomalies in a seasonal forecast system
in Climate Dynamics
Jacobs Z
(2019)
A Subannual Subsurface Pathway From the Gulf Stream to the Subpolar Gyre and Its Role in Warming and Salinification in the 1990s
in Geophysical Research Letters
Gennip SJV
(2019)
In search for the sources of plastic marine litter that contaminates the Easter Island Ecoregion.
in Scientific reports
Fox A
(2019)
An Efficient Multi-Objective Optimization Method for Use in the Design of Marine Protected Area Networks
in Frontiers in Marine Science
Anderson T
(2019)
Quantifying carbon fluxes from primary production to mesopelagic fish using a simple food web model
in ICES Journal of Marine Science
Hirschi J
(2019)
Loop Current Variability as Trigger of Coherent Gulf Stream Transport Anomalies
in Journal of Physical Oceanography
Bayhaqi A
(2019)
The Variability of Indonesian Throughflow in Sumba Strait and Its Linkage to the Climate Events
in American Journal of Applied Sciences
Tonani M
(2019)
The impact of a new high-resolution ocean model on the Met Office North-West European Shelf forecasting system
in Ocean Science
James MK
(2019)
Reverse engineering field-derived vertical distribution profiles to infer larval swimming behaviors.
in Proceedings of the National Academy of Sciences of the United States of America
Yu X
(2019)
Wind-Forced Symmetric Instability at a Transient Mid-Ocean Front
in Geophysical Research Letters
Wakelin S
(2020)
Controls on near-bed oxygen concentration on the Northwest European Continental Shelf under a potential future climate scenario
in Progress in Oceanography
Rulent J
(2020)
Comparing Water Level Estimation in Coastal and Shelf Seas From Satellite Altimetry and Numerical Models
in Frontiers in Marine Science
Mamnun N
(2020)
Forcing ocean model with atmospheric model outputs to simulate storm surge in the Bangladesh coast
in Tropical Cyclone Research and Review
Almansi M
(2020)
Evolution of Denmark Strait Overflow Cyclones and Their Relationship to Overflow Surges
in Geophysical Research Letters
Gavilan Pascual-Ahuir E
(2020)
Topographical Control of the Source-Sink and Wind Stress-Driven Planetary Geostrophic Circulation in a Polar Basin
in Journal of Geophysical Research: Oceans
Robson J
(2020)
The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6
in Journal of Advances in Modeling Earth Systems
Hewitt H
(2020)
Resolving and Parameterising the Ocean Mesoscale in Earth System Models
in Current Climate Change Reports
Kendon M
(2020)
State of the UK Climate 2019
in International Journal of Climatology
Zheng P
(2020)
Tide-Surge Interaction in the Pearl River Estuary: A Case Study of Typhoon Hato
in Frontiers in Marine Science
Bruneau N
(2020)
Long Memory Impact of Ocean Mesoscale Temperature Anomalies on Tropical Cyclone Size
in Geophysical Research Letters
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
Anderson T
(2020)
'The control of diatom populations by grazing': Richard Fleming and the first marine ecosystem model
in Ocean Challenge
Jevrejeva S
(2020)
Global mean thermosteric sea level projections by 2100 in CMIP6 climate models
in Environmental Research Letters
Wolf J
(2020)
Impacts of climate change on storms and waves relevant to the coastal and marine environment around the UK
in MCCIP Science Review
Blockley E
(2020)
The Future of Sea Ice Modeling: Where Do We Go from Here?
in Bulletin of the American Meteorological Society
Skliris N
(2020)
Changing water cycle and freshwater transports in the Atlantic Ocean in observations and CMIP5 models
in Climate Dynamics
Baker C
(2020)
Are all sediment traps created equal? An intercomparison study of carbon export methodologies at the PAP-SO site
in Progress in Oceanography
Abadie L
(2020)
Comparing urban coastal flood risk in 136 cities under two alternative sea-level projections: RCP 8.5 and an expert opinion-based high-end scenario
in Ocean & Coastal Management
Hirschi J
(2020)
The Atlantic Meridional Overturning Circulation in High-Resolution Models
in Journal of Geophysical Research: Oceans
Roberts M
(2020)
Sensitivity of the Atlantic Meridional Overturning Circulation to Model Resolution in CMIP6 HighResMIP Simulations and Implications for Future Changes
in Journal of Advances in Modeling Earth Systems
Rabe B
(2020)
Applied connectivity modelling at local to regional scale: The potential for sea lice transmission between Scottish finfish aquaculture management areas
in Estuarine, Coastal and Shelf Science
Roberts MJ
(2020)
Projected Future Changes in Tropical Cyclones Using the CMIP6 HighResMIP Multimodel Ensemble.
in Geophysical research letters
Barton B
(2020)
Water Mass Properties Derived From Satellite Observations in the Barents Sea
in Journal of Geophysical Research: Oceans
| 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 |