📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

The future of Arctic sea ice

Lead Research Organisation: UNIVERSITY OF READING
Department Name: Meteorology

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.

Publications

10 25 50
 
Title Diagnostics from CMIP6, atmospheric reanalyses, and passive-microwave observations used to examine the impact of ocean heat transport on Arctic and Antarctic sea ice 
Description Various geophysical diagnostics calculated from model output obtained from the Coupled Model Intercomparison Project phase 6 (CMIP6), for pre-industrial control, historical, SSP3-7.0, and SSP5-8.5 simulations of 20 climate models. Diagnostics include monthly-mean sea ice area, extent, and sea ice-edge latitude, annual ocean and atmospheric meridional energy transports, and annual polar-cap averages of ocean heat content, near surface air temperature, and atmospheric vertical heat fluxes. Analogous sea ice diagnostics from passive-microwave observations, and surface temperature diagnostics from atmospheric reanalysis products (CFSR, CFSv2, ERA5, JRA-55, and MERRA-2), are also included. 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact Assessment of future eveolution of Arctic state 
URL https://researchdata.reading.ac.uk/id/eprint/1333
 
Description Collaboration on Floe Size Distribution model 
Organisation Meteorological Office UK
Country United Kingdom 
Sector Academic/University 
PI Contribution Incorporation of a floe size distribution model into the SI3 sea ice climate model used by the Met Office
Collaborator Contribution Techncial support
Impact Floe Size Distribution Model code brought into the climate sea ice model SI3, made available to the NEMO consortium which inlcudes the Met Office
Start Year 2024
 
Title CMIP6 data processing code for examination of the impact of ocean heat transport on Arctic and Antarctic sea ice (v1.0.0). 
Description CMIP6 data processing code for examination of the impact of ocean heat transport on Arctic and Antarctic sea ice (v1.0.0). 
Type Of Technology Software 
Year Produced 2024 
Open Source License? Yes  
Impact Science results published in associated paper: https://doi.org/10.1038/s43247-024-01565-7 
URL https://doi.org/10.5281/zenodo.12207486