Poles apart: why has Antarctic sea ice increased, and why can't coupled climate models reproduce observations?

Lead Research Organisation: National Oceanography Centre
Department Name: Science and Technology

Abstract

Due to its pale colour, sea ice reflects much of the incoming solar radiation back into space, keeping local temperatures relatively cold. However, if warming occurs and sea ice melts, it is replaced by darker ocean. This absorbs more solar energy, causing warming, and so the cycle, the so-called 'ice-albedo feedback' loop, continues. Sea ice also modifies the regional surface energy balance by capping the upper layer of the ocean, reducing its loss of heat to the atmosphere. In addition, sea ice is important because it plays a role in the exchange of carbon dioxide between the atmosphere and ocean, thereby affecting how much of this greenhouse gas is in the atmosphere and contributing to global warming. Moreover, sea ice formation is an important element in driving the global thermohaline circulation of heat and salt through the world's oceans. One component of this circulation is the North Atlantic Drift current that carries warm tropical water across the Atlantic and keeps the UK's winter temperatures much warmer than they would be otherwise.

The Intergovernmental Panel on Climate Change (IPCC) assessment reports are an important tool in drivng government policy around the world. However, the present generation of climate models, which are used to predict the future climate scenarios described in these reports, are unable to consistently reproduce the recent increase in Antarctic sea ice. As a result considerable uncertainty must be attached to their predictions of future climate.

This proposal aims to both advance our understanding of the Earth's climate and facilitate improved predictions of its future change to aid policy makers. This will be achieved through the following objectives:

1. To explain the key climate processes involved in the recent Antarctic sea ice increase. We know from observations that changes in the near-surface wind around Antarctica are predominantly responsible for the observed increase in sea ice but we don't know exactly how the wind and the ice interact. Using a state-of-the-art computer model of sea ice and the ocean forced by the latest atmospheric data we will establish the key processes through which changes in the wind are causing the ice to increase.

2. To establish the ultimate driver of the sea ice increase. Policymakers need to know whether we can attribute the observed changes in Antarctic sea ice to human activity. This might happen through changes in the near-surface winds around Antarctica caused by the 'ozone hole' or greenhouse gas increases for example. Alternatively, it may be simply due to natural variations in the Antarctic climate system. If the former is true, we must determine which human activities are responsible. If the latter is correct, we must try to understand connections between the key processes and wider aspects of the climate system.

3. To understand why current climate models fail to simulate the growth in Antarctic sea ice. We will examine the current UK climate model in detail to diagnose which components are to blame and, with our Met Office partner, we will design a development programme to ensure that our findings are transferred into future model improvements in time for the next IPCC report. To help other climate model developers around the world, we will also analyse whether the failings are common to the other models used in the IPCC reports.

Planned Impact

Due to the role of Antarctic sea ice in key components of the Earth's climate system, such as atmosphere-ocean CO2 exchange and the thermohaline circulation, at its highest level the science needs to be communicated to policymakers, the public and to anyone at risk from the effects of climate change. Clarity is required urgently on the issue of the Antarctic sea ice increase because failure to explain the opposing trends in the Arctic and Antarctic has the potential to increase public uncertainty about the validity of climate change: indeed, climate sceptics have already attempted to use the increase in Antarctic sea ice in their arguments. Furthermore, the latest climate models used as the basis for the IPCC reports fail to simulate the increase in Antarctic sea ice, bringing into question the value of their projections of future climate change in the polar regions.

As part of this proposal we will determine (i) whether we can attribute the recent observed increase in Antarctic sea ice to changes to human activity or natural climate variability, and (ii) why the current generation of coupled climate models are unable to reproduce the positive trend in sea ice. These outputs will lead to improved prediction of Antarctic sea ice over the 21st Century, help to inform both policymakers and public about future climate change, and enable the government to rebuff the claims of climate sceptics when being criticised for their current mitigation policies.

In the UK our findings will contribute directly to future climate model development to ensure that (i) the Met Office can continue in its remit to provide up-to-date, robust and traceable scientific evidence to government on climate variability and climate change, and (ii) UK climate modellers maintain their high-standing at the leading edge of climate research, thus allowing the UK to sustain its influential position in future climate negotiations. The two PDRAs will develop professional skills that have applicability to other employment sectors, such as adeptness in communication, gained from courses on communicating science to the public.
 
Description The climate mechanisms controlling the changes in the Antarctic sea ice. We discovered that melt water from the Antarctic, winds and mixing of heat from the warmer subsurface waters below sea ice are the principal mechanisms in controlling sea ice in the Southern Ocean. Furthermore, the ocean waves make large impact on the upper ocean and see ice in the Southern Ocean.
Exploitation Route Understanding climate change in the Southern Ocean and globally.
Sectors Aerospace, Defence and Marine,Environment,Leisure Activities, including Sports, Recreation and Tourism

URL https://doi.org/10.5194/egusphere-egu21-12983
 
Description The findings from the project inform the climate change policies, as they provided a better understanding of the climate change in the Antarctica, with consequences for the Ocean and Cryosphere and potential implications for the sea level rise. The results from the project also contributes to the formulation of the objectives for the UN Decade of the Oceans.
First Year Of Impact 2017
Sector Environment
Impact Types Policy & public services

 
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 (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 09/2019 
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 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 04/2022 
End 03/2027
 
Description ENCORE is the National Capability ORCHESTRA Extension (ENCORE)
Amount £723,925 (GBP)
Funding ID NE/V013254/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 04/2021 
End 03/2022
 
Description Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports (ORCHESTRA)
Amount £7,094,230 (GBP)
Funding ID NE/N018095/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 03/2016 
End 03/2021
 
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. 
Type Of Material Improvements to research infrastructure 
Year Produced 2017 
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. 
URL https://eprints.soton.ac.uk/428655/
 
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 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 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 2017 
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 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 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 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 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 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 2017 
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 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 2017 
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
 
Description Australian Antarctic Science Program 
Organisation University of Adelaide
Country Australia 
Sector Academic/University 
PI Contribution Modelling of the ice dynamics and waves in the Southern Ocean and comparison to the observations for model validation development and tuning.
Collaborator Contribution In-situ observations for model validation development and tuning.
Impact Sea ice-ocean-waves model validation development and tuning to simulated ice edge dynamics. Presentations at the major international meeting EGU and AGU and reports.
Start Year 2017
 
Description EU ALBATROSS Programme lead by ESA on global tides in polar areas from models and satellites. 
Organisation European Space Agency
Country France 
Sector Public 
PI Contribution Collaboration between NOC (external partner) and EU ALBATROSS Programme lead by ESA on global tides in polar areas from models and satellites is focused on improvement of tidal simulations in climate large scale models.
Collaborator Contribution Partners deliver global tides data from satellites and advanced tidal hydrodynamical modelling.
Impact Global tides data from satellites has been collected.
Start Year 2020
 
Description Programme "Wave-induced structural gradients in Antarctic sea ice cover, ANTGRAD" 
Organisation Aalto University
Country Finland 
Sector Academic/University 
PI Contribution Collaboration between NOC (external partner), the Aalto University, Finland (programme lead) and Finish Meteorological Institute has been set-up in the Programme "Wave-induced structural gradients in Antarctic sea ice cover, ANTGRAD". The programme runs 2021-2024 and examines ocean energy decay in the ice-covered regions to understand impacts on the future ocean climates and improve both the observational capacities and the model development for the climate research and forecasting in the ice-covered oceans. The programme includes modelling, remote sensing, lab experiments in the Aalto Ice Tank and measurement using Agulhas II.
Collaborator Contribution The programme includes modelling, remote sensing, lab experiments in the Aalto Ice Tank and measurements on sea ice and waves using Agulhas II.
Impact Data on sea ice and waves in the Southern Ocean to validate model performance have been collected during Agulhas II cruise. Undergoes QC checks, will be publicly available.
Start Year 2021
 
Description The next phase of the Community Ocean Wave Climate (COWCliP) model intercomparison project. https://cowclip.org/ 
Organisation Commonwealth Scientific and Industrial Research Organisation
Country Australia 
Sector Public 
PI Contribution NOC participates in the next phase the next phase of the Community Ocean Wave Climate (COWCliP) model intercomparison project, led by CSIRO, Australia, and endorsed by WMO/IPCC. https://cowclip.org/ . This is a worldwide collaboration between ocean-sea ice-wave modelling groups. NOC provides climate simulations with global wave-NEMO-sea ice model, for the current and future projected climates.
Collaborator Contribution Partners provide climate simulations from ensembles of global waves models.
Impact Project has just started.
Start Year 2022
 
Title Combined sea ice rheology code 
Description Fortran90 model code to account for the impacts of sea ice fragmentation by waves on sea ice rheology and dynamics. 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. 
Type Of Technology Software 
Year Produced 2019 
Open Source License? Yes  
Impact It is made freely available through the UK NERC/UKMO Joint Sea Ice Modelling Programme and is widely used by the UK research community. 
URL https://doi.org/10.1007/978-3-030-80439-8_13
 
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. 2022. Code author: Dr Stefanie Rynders. 
Type Of Technology Software 
Year Produced 2022 
Open Source License? 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 Forced-partially coupled 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 Technology Software 
Year Produced 2017 
Open Source License? 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 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://eprints.soton.ac.uk/428655/
 
Title Matlab model code and scripts to analyse reversibility of the Arctic and Antarctic sea ice cover in the IPCC CMIP models. 
Description Matlab model code and scripts to analyse reversibility of the Arctic and Antarctic sea ice cover in the IPCC CMIP models. The model code has been successfully applied to the CMIP6 set of models ran under the CDR-MIP scenarios with different CO2 emission pathways. The code is generic and can be used with netcdf data input stored on NEMO or geographical grids (author Stefanie Rynders). 
Type Of Technology Software 
Year Produced 2022 
Impact Matlab model code and scripts analyse reversibility of the Arctic and Antarctic sea ice cover in the IPCC CMIP models. The model code has been successfully applied to the CMIP6 set of models ran under the CDR-MIP scenarios with different CO2 emission pathways. The code is generic and can be used with netcdf data input stored on NEMO or geographical grids. The code will, be available in 2023 (a paper on results to be submitted) 
 
Title Mixing modules in NEMO 
Description Ocean mixing modules for the NEMO system model v3.6 and 4.0. distributed under the CeCILL FREE SOFTWARE LICENSE AGREEMENT. 
Type Of Technology Software 
Year Produced 2020 
Open Source License? Yes  
Impact The wave mixing module improves simulations of the oceanic mixed layer, ocean heat content and sea ice in the Arctic and Souther Ocean. The modelling research community is informed on the model development, which is used as an open source for the scientific research. 
URL http://eprints.soton.ac.uk/id/eprint/428655
 
Title Off-line Matlab model code to automatically detect ocean gyres in the barotropic flow. 
Description Off-line Matlab model code to automatically detect ocean gyres in the barotropic flow. The code is generic and can be used with netcdf data input stored on NEMO or geographical grids (author Stefanie Rynders). 
Type Of Technology Software 
Year Produced 2022 
Impact The code to automatically detect ocean gyres in the barotropic flow from the barotropic stream functions, allowing to find out the largest connected oceanic gyres and examine their variability for ocean circulation analysis in the climate models. The code is generic and can be used with netcdf data input stored on NEMO or geographical grids (author Stefanie Rynders). 
 
Title Off-line generic pan-Arctic model code of the coastal permafrost erosion 
Description Off-line pan-Arctic Matlab model code of the coastal permafrost erosion has been developed for the framework of the new coupled ocean-sea ice-waves NEMO-CICE-WW3 model at the National Oceanography Centre by Dr Stefanie Rynders. The code is generic and can be used with netcdf data input from wave-ocean models. 
Type Of Technology Software 
Year Produced 2022 
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 Off-line model code 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 Matlab model code 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 Technology Software 
Year Produced 2022 
Impact The model software allows off-line 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 Sea ice types and provinces diagnostics software 
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 Technology Software 
Year Produced 2021 
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/
 
Description A Major International Congress, 13,650 participants 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Talk and discusssons at Session OS1.1 Open Session on Ocean Circulation and Air-Sea Interactionsthe In EGU General Assembly Conference 2016, 17-22 April 2016, Vienna, Austria. 13,650 participants in total.

Full title of the talk:
Aksenov, Y., Nurser, G., Bacon, S., Rye, C., Megann, A., Kjellsson, J., Holland, P., Ridley, J., Coward, A., Marshall, G. and Marsh, B., 2016, April. Response of the Southern Ocean dynamics to the changes in the Antarctic glacial runoff and icebergs discharge. In EGU General Assembly Conference Abstracts (Vol. 18, p. 16982).
Year(s) Of Engagement Activity 2016
URL http://meetingorganizer.copernicus.org/EGU2016/EGU2016-16982-6.pdf
 
Description European Geosciences Union General Assembly 2015 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Results of the project were presented and discusssed atthe OS1.3 The Southern Ocean and its Role in the Global Climate System of the International Congress, ca. 11,837 people attended the meeting.

Full title of the talk:

Kjellsson, J., Holland, P., Marshall, G., Coward, A., Aksenov, Y., Bacon, S., ... & Ridley, J. (2015, April). Sensitivity of the recent increase in Antarctic sea ice in ocean models. In EGU General Assembly Conference Abstracts (Vol. 17, p. 5584).
Year(s) Of Engagement Activity 2015
URL http://meetingorganizer.copernicus.org/EGU2015/EGU2015-5584-2.pdf
 
Description Presentation at the EGU 2018: Aksenov, Y., Rynders, S., Hosekova, L., Feltham, D., Nurser, A. J., Madec, G., ... & Coward, A. (2018, April). Waves, Ice and Ocean in future projections of the Arctic and Southern Ocean. In EGU General Assembly Conference Abstracts (Vol. 20, p. 14180). 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Presentation delivered at the EGU General Assembly Conference Abstracts (Vol. 20, p. 14180). New data and results made available for the professionals and media. discussion followed the presentation helped to shape science directions.
Year(s) Of Engagement Activity 2018
 
Description Presentation at the UN Climate Change Conference (COP25) in Madrid for the Cryosphere Pavilion: "The New Arctic: The impact of change in Arctic Ocean sea ice on marine ecosystems and maritime industries?" 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact Presented at the UN Climate Change Conference (COP25) in Madrid. Delivered a talk at the Cryosphere Pavilion on the scientific evidence for climate change impacts in the Arctic and the consequences. Title: The New Arctic: The impact of change in Arctic Ocean sea ice on marine ecosystems and maritime industries
Year(s) Of Engagement Activity 2019