The future of Arctic sea ice
Lead Research Organisation:
UNIVERSITY COLLEGE LONDON
Department Name: Earth Sciences
Abstract
Anthropogenic climate change is destroying the Arctic sea ice cover. The ice loss is erratic (variable), but scientists agree the perennial Arctic ice cover will not survive this century. The sea ice cover is a partial barrier to exchanges of heat, water, and momentum between the air above and the ocean on which it floats. The reduction in sea ice is having, and is expected to continue to have, a dominant impact on local climate and ecology, and to affect extreme weather and global climate by modification of exchanges of heat and momentum in the atmosphere and ocean with lower (European) latitudes.
Climate projections, generated using complex climate models, indicate that the Arctic Ocean will become seasonally ice free in the coming decades. However, these models underestimate the strength of the link between polar warming and sea ice loss; they only achieve observed rates of ice loss with unrealistic polar warming.
Observations of the Arctic have improved in recent years with new satellites, e.g. IceSat-2 and CryoSat-2, measuring sea ice properties from space, and field experiments such as MOSAiC providing detailed measurements of sea ice physical processes. These show that Arctic sea ice is becoming thinner, less extensive, more fragmented, and more seasonal. Climate models of sea ice physics, built in a time of perennial ice, inadequately represent the seasonal, fragmented nature of the emerging ice cover.
We will combine different satellite data products to provide estimates of the local sea ice mass budget. These measurements, among others, will be used to provide an unprecedently stringent test of sea ice models. We will enhance our sea ice models through the incorporation of representations of physical processes observed to be important in the seasonal ice cover physics, such as an evolving floe size distribution and advanced representation of frazil ice, both of which are already seen to play a leading role in the, more seasonal, Southern Ocean sea ice cover. This project will result in a necessary upgrade to model representation of Arctic sea ice.
The new sea ice physics will be brought into a full climate model, which will be used to explore their impact on the ice cover of the past few decades, and their impact on decadal predictions. Our analysis of the climate simulations will utilise ideas we have explored in simpler, more idealised models and analysis of previous climate model simulations.
Our aim is to produce more realistic simulations of Arctic sea ice trends and variability in the recent past and near future, as we approach a seasonally ice-free Arctic Ocean. This project will: (i) simulate the observed rates of Arctic sea ice loss in combination with the observed rates of Arctic warming; (ii) more tightly constrain when the Arctic Ocean will become seasonally ice free; and (iii) test the hypothesis that climate models' mismatch between rates of sea ice loss and Arctic warming is a consequence of inadequate physical representation of the modern Arctic sea ice cover.
Climate projections, generated using complex climate models, indicate that the Arctic Ocean will become seasonally ice free in the coming decades. However, these models underestimate the strength of the link between polar warming and sea ice loss; they only achieve observed rates of ice loss with unrealistic polar warming.
Observations of the Arctic have improved in recent years with new satellites, e.g. IceSat-2 and CryoSat-2, measuring sea ice properties from space, and field experiments such as MOSAiC providing detailed measurements of sea ice physical processes. These show that Arctic sea ice is becoming thinner, less extensive, more fragmented, and more seasonal. Climate models of sea ice physics, built in a time of perennial ice, inadequately represent the seasonal, fragmented nature of the emerging ice cover.
We will combine different satellite data products to provide estimates of the local sea ice mass budget. These measurements, among others, will be used to provide an unprecedently stringent test of sea ice models. We will enhance our sea ice models through the incorporation of representations of physical processes observed to be important in the seasonal ice cover physics, such as an evolving floe size distribution and advanced representation of frazil ice, both of which are already seen to play a leading role in the, more seasonal, Southern Ocean sea ice cover. This project will result in a necessary upgrade to model representation of Arctic sea ice.
The new sea ice physics will be brought into a full climate model, which will be used to explore their impact on the ice cover of the past few decades, and their impact on decadal predictions. Our analysis of the climate simulations will utilise ideas we have explored in simpler, more idealised models and analysis of previous climate model simulations.
Our aim is to produce more realistic simulations of Arctic sea ice trends and variability in the recent past and near future, as we approach a seasonally ice-free Arctic Ocean. This project will: (i) simulate the observed rates of Arctic sea ice loss in combination with the observed rates of Arctic warming; (ii) more tightly constrain when the Arctic Ocean will become seasonally ice free; and (iii) test the hypothesis that climate models' mismatch between rates of sea ice loss and Arctic warming is a consequence of inadequate physical representation of the modern Arctic sea ice cover.
Publications
Gregory W
(2024)
Scalable interpolation of satellite altimetry data with probabilistic machine learning.
in Nature communications
Heorton H
(2025)
Observationally constrained estimates of the annual Arctic sea-ice volume budget 2010-2022
in Annals of Glaciology
Mchedlishvili A
(2023)
New estimates of pan-Arctic sea ice-atmosphere neutral drag coefficients from ICESat-2 elevation data
in The Cryosphere
Nab C
(2024)
Optimising Interannual Sea Ice Thickness Variability Retrieved From CryoSat-2
in Geophysical Research Letters
Nandan V
(2023)
Wind redistribution of snow impacts the Ka- and Ku-band radar signatures of Arctic sea ice
in The Cryosphere
Newman T
(2024)
A Practical Approach to FMCW Radar Deconvolution in the Sea Ice Domain
in IEEE Access
Sterlin J
(2023)
Effects of sea ice form drag on the polar oceans in the NEMO-LIM3 global ocean-sea ice model
in Ocean Modelling
Willatt R
(2023)
Retrieval of Snow Depth on Arctic Sea Ice From Surface-Based, Polarimetric, Dual-Frequency Radar Altimetry
in Geophysical Research Letters
| Description | Budget method very useful for validating sea ice models |
| Exploitation Route | More work under way using this method |
| Sectors | Environment |
| Title | MISR Sea Ice Roughness Data |
| Description | A full description of the data processing chain is given in the paper : Johnson, T.; Tsamados, M.; Muller, J.-P.; Stroeve, J. Mapping Arctic Sea-Ice Surface Roughness with Multi-Angle Imaging SpectroRadiometer. Remote Sens. 2022, 14, 6249. https://doi.org/10.3390/rs14246249 The data comes in two formats. First at individual swath level and second at monthly gridded level. The swath data are provided on the MISR native 1.1km SOM grid with block stitching applied and the monthly aggregates on a EASE-2 1km grid. All data are provided for the full Arctic north ~60N (MISR blocks 1-45) for the period 2000 to 2020 for April months. Each file is provided as hdf5 format. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Motivated research for mapping of roughness for safe travel of Inuit local populations and also recent research in climate models |
| URL | https://www.cpom.ucl.ac.uk/misr_sea_ice_roughness/ |
| Description | Correcting Seasonal Feedbacks for Physically Constrained Sea Ice Reanalysis |
| Organisation | University of Reading |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | SPONSORED RESEARCH Correcting Seasonal Feedbacks for Physically Constrained Sea Ice Reanalysis Successful ? Award Setup ? 16/02/2025 - 15/02/2028 Natural Environment Research Council Total: £308,766 ? UCL: £308,766 |
| Collaborator Contribution | Joint NERC project |
| Impact | N/A |
| Start Year | 2025 |
| Title | Budget analysis code |
| Description | Calculates sea ice volume budget from satellite dara |
| Type Of Technology | New/Improved Technique/Technology |
| Year Produced | 2024 |
| Impact | Paper out and PhD starting |
| URL | https://www.cambridge.org/core/journals/annals-of-glaciology/article/observationally-constrained-est... |
| Description | Subject taster on campus |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | Subject taster on campus where I talked to Year 11 students about my work in the polar regions. |
| Year(s) Of Engagement Activity | 2024 |
