image: Evolution of the surface mass balance (snowfall - melting) with the old (cmip5) and new (cmip6) scenarios. The blue colour indicates a mass loss in mm/year view more
Credit: ©Université de Liège / X.Fettweis
A new study, headed by researchers from the Universities of Liège and Oslo, applying the latest climate models, of which the MAR predicts a 60% greater melting of the Greenland ice sheet than previously predicted. Data that will be included in the next IPCC report. This study is published in Nature Communications.
The Greenland ice sheet, the second largest after the Antarctic's, covers an area of 1.7 million square kilometres. Its total melting could lead to a significant rise in ocean levels, up to 7 metres. Although we are not there yet, the previous scenarios predicted by climate models have just been revised upwards, predicting a rise in sea levels of up to 18 cm by 2100 (compared to the 10 cm announced previously) just because of the increase in surface melting. Within the framework of the next IPCC report (AR6) which will appear in 2022, the University of Liège Laboratory of climatology has been led to apply, within the framework of the ISMIP6 project, the MAR climate model which it is developing to downscale the old and new IPCC scenarios. The results obtained showed that for the same evolution of greenhouse gas concentrations till 2100, these new scenarios predict a 60% greater surface melting of the Greenland ice cap than previously estimated for the previous IPCC report (AR5, 2013).
The MAR model was the first to demonstrate that the Greenland ice sheet would melt further with a warming of the Arctic in summer. While our MAR model suggested that in 2100 the surface melting of the Greenland ice sheet would contribute to a rise in the oceans of around ten centimetres in the worst-case scenario (i.e. if we do not change our habits)," explains Stefan Hofer, post-doc researcher at the University of Oslo, "our new projections now suggest a rise of 18 cm". As the new IPCC scenarios are based on models whose physics have been improved - in particular by incorporating a better representation of cloudiness - and whose spatial resolution has been increased, these new projections should in theory be more robust and reliable.
The team of the Laboratory of Climatology was the first to downscale these scenarios on the Greenland ice cap. "It would now be interesting, says Xavier Fettweis, researcher and director of the Laboratory, to analyse how these future projections are sensitive to the MAR model that we are developing by downscalling these scenarios with other models than MAR as we have done on the present climate (GrSMBMIP)". This study will be carried out within the framework of the European project PROTECT (H2020). The objective of this project is to assess and project changes in the terrestrial cryosphere, with fully quantified uncertainties, in order to produce robust global, regional and local projections of sea level rise over a range of time scales. https://protect-slreu/
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The data collected as part of the Katabata project, launched last September by Xavier Fettweis and his colleague Damien Ernst, will also help to refine the models, particularly the wind model-ling in the MAR climate model. "Knowing that the wind influences the melting of the ice sheet, it is important to have the most reliable models possible, concludes Xavier Fettweis."
Scientific reference
Stefan Hofer et al.: Greater Greenland Ice Sheet contribution to global sea level rise in CMIP6, Nature Communications, 15 December 2020.
Fettweis et al.: GrSMBMIP: intercomparison of the modelled 1980-2012 surface mass balance over the Greenland Ice Sheet, The Cryosphere, 14, 3935-3958, https://doi.org/10.5194/tc-14-3935-2020, 2020.
Journal
Nature Communications