Sensitivity of the MAR regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the Antarctic Peninsula

Dethinne, Thomas; Glaude, Quentin; Picard, Ghislain; Kittel, Christoph; Alexander, Patrick; Orban, Anne; Fettweis, Xavier

doi:https://doi.org/10.5194/tc-17-4267-2023

Articles | Volume 17, issue 10

https://doi.org/10.5194/tc-17-4267-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-17-4267-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 10

Research article

|

06 Oct 2023

Research article |

| 06 Oct 2023

Sensitivity of the MAR regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the Antarctic Peninsula

Thomas Dethinne, Quentin Glaude, Ghislain Picard, Christoph Kittel, Patrick Alexander, Anne Orban, and Xavier Fettweis

Supplement

https://doi.org/10.5194/tc-17-4267-2023-supplement

Model code and software

MAR RS assimilation Thomas Dethinne https://doi.org/10.5281/zenodo.8391577

Short summary

We investigate the sensitivity of the regional climate model 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.