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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.
 
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