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
Sorgente R
(2016)
Forecast of drifter trajectories using a Rapid Environmental Assessment based on CTD observations
in Deep Sea Research Part II: Topical Studies in Oceanography
Barton B
(2024)
Formation and Dynamics of a Coherent Coastal Freshwater Influenced System
in Earth and Space Science
Blaker A
(2021)
FORTE 2.0: a fast, parallel and flexible coupled climate model
in Geoscientific Model Development
Solomon A
(2021)
Freshwater in the Arctic Ocean 2010-2019
in Ocean Science
Popova E
(2016)
From global to regional and back again: common climate stressors of marine ecosystems relevant for adaptation across five ocean warming hotspots.
in Global change biology
Desbruyères D
(2014)
Full-depth temperature trends in the northeastern Atlantic through the early 21st century
in Geophysical Research Letters
Vancoppenolle M
(2013)
Future Arctic Ocean primary productivity from CMIP5 simulations: Uncertain outcome, but consistent mechanisms
in Global Biogeochemical Cycles
Yool A
(2015)
Future change in ocean productivity: Is the Arctic the new Atlantic?
in Journal of Geophysical Research: Oceans
Grist J
(2021)
Future Evolution of an Eddy Rich Ocean Associated with Enhanced East Atlantic Storminess in a Coupled Model Projection
in Geophysical Research Letters
Giamalaki K
(2021)
Future intensification of extreme Aleutian low events and their climate impacts.
in Scientific reports
De Dominicis M
(2020)
Future Interactions Between Sea Level Rise, Tides, and Storm Surges in the World's Largest Urban Area
in Geophysical Research Letters
Qu Y
(2020)
Future sea level rise along the coast of China and adjacent region under 1.5 °C and 2.0 °C global warming
in Advances in Climate Change Research
Jevrejeva S
(2023)
Future sea level rise dominates changes in worst case extreme sea levels along the global coastline by 2100
in Environmental Research Letters
Bricheno L
(2018)
Future Wave Conditions of Europe, in Response to High-End Climate Change Scenarios
in Journal of Geophysical Research: Oceans
Forryan A
(2021)
Galápagos upwelling driven by localized wind-front interactions.
in Scientific reports
Anderson T
(2020)
Geometric Stoichiometry: Unifying Concepts of Animal Nutrition to Understand How Protein-Rich Diets Can Be "Too Much of a Good Thing"
in Frontiers in Ecology and Evolution
Luneva M
(2012)
Geostrophic Adjustment Problems in a Polar Basin
in Atmosphere-Ocean
Banyte D
(2018)
Geothermal Heating in the Panama Basin. Part II: Abyssal Water Mass Transformation
in Journal of Geophysical Research: Oceans
Banyte D
(2018)
Geothermal Heating in the Panama Basin: 1. Hydrography of the Basin
in Journal of Geophysical Research: Oceans
De Lavergne C
(2016)
Getting to the bottom of the ocean
in Nature Geoscience
Jevrejeva S
(2020)
Global mean thermosteric sea level projections by 2100 in CMIP6 climate models
in Environmental Research Letters
Johnson G
(2022)
Global Oceans
in Bulletin of the American Meteorological Society
Johnson G
(2021)
Global Oceans
in Bulletin of the American Meteorological Society
Wei CL
(2010)
Global patterns and predictions of seafloor biomass using random forests.
in PloS one
Scott R
(2011)
Global rate and spectral characteristics of internal gravity wave generation by geostrophic flow over topography
in Journal of Geophysical Research
MacLachlan C
(2014)
Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system
in Quarterly Journal of the Royal Meteorological Society
Jiang L
(2023)
Global Surface Ocean Acidification Indicators From 1750 to 2100
in Journal of Advances in Modeling Earth Systems
Skliris N
(2016)
Global water cycle amplifying at less than the Clausius-Clapeyron rate.
in Scientific reports
Palmiéri J
(2024)
Global-Scale Evaluation of Coastal Ocean Alkalinity Enhancement in a Fully Coupled Earth System Model
in Earth's Future
Megann A
(2014)
GO5.0: the joint NERC-Met Office NEMO global ocean model for use in coupled and forced applications
in Geoscientific Model Development
Van Gennip SJ
(2017)
Going with the flow: the role of ocean circulation in global marine ecosystems under a changing climate.
in Global change biology
Jenkins H
(2022)
Grazing, egg production and carbon budgets for Calanus finmarchicus across the Fram Strait
in Frontiers in Marine Science
McCarthy G
(2018)
Gulf Stream Variability in the Context of Quasi-Decadal and Multidecadal Atlantic Climate Variability
in Geophysical Research Letters
Dmitrenko I
(2014)
Heat loss from the Atlantic water layer in the northern Kara Sea: causes and consequences
in Ocean Science
Huerta-Casas A
(2012)
High frequency fluctuations in the heat content of an ocean general circulation model
in Ocean Science
Huerta-Casas A
(2012)
High frequency fluctuations in the heat content of an ocean general circulation model
in Ocean Science
Balan Sarojini B
(2011)
High frequency variability of the Atlantic meridional overturning circulation
in Ocean Science
Blaker A
(2014)
Historical analogues of the recent extreme minima observed in the Atlantic meridional overturning circulation at 26°N
in Climate Dynamics
Williamson D
(2013)
History matching for exploring and reducing climate model parameter space using observations and a large perturbed physics ensemble
in Climate Dynamics
Luneva M
(2020)
Hotspots of Dense Water Cascading in the Arctic Ocean: Implications for the Pacific Water Pathways
in Journal of Geophysical Research: Oceans
Robinson J
(2014)
How deep is deep enough? Ocean iron fertilization and carbon sequestration in the Southern Ocean
in Geophysical Research Letters
Tagliabue A
(2016)
How well do global ocean biogeochemistry models simulate dissolved iron distributions?
in Global Biogeochemical Cycles
Main C
(2015)
Hydrocarbon contamination affects deep-sea benthic oxygen uptake and microbial community composition
in Deep Sea Research Part I: Oceanographic Research Papers
Phelps J
(2013)
Hydrodynamic timescales in a hyper-tidal region of freshwater influence
in Continental Shelf Research
Barnes J
(2018)
Idealised modelling of ocean circulation driven by conductive and hydrothermal fluxes at the seabed
in Ocean Modelling
Wise A
(2020)
Idealised modelling of offshore-forced sea level hot spots and boundary waves along the North American East Coast
in Ocean Modelling
Williamson D
(2014)
Identifying and removing structural biases in climate models with history matching
in Climate Dynamics
| 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 |