the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Disentangling the drivers of future Antarctic ice loss with a historically calibrated ice-sheet model
Ann Kristin Klose
Christoph Kittel
Tamsin Edwards
Fiona Turner
Ricarda Winkelmann
Frank Pattyn
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Modèle Atmosphérique Régional(MAR) to the assimilation of wet-snow occurrence estimated by remote sensing datasets. The assimilation is performed by nudging the MAR snowpack temperature. The data assimilation is performed over the Antarctic Peninsula for the 2019–2021 period. The results show an increase in the melt production (+66.7 %) and a decrease in surface mass balance (−4.5 %) of the model for the 2019–2020 melt season.
coupling interfacesrepresenting the feedbacks between the distinct models used for contribution. PARASO is stable and ready to use but is still characterized by significant biases.
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