Assimilation sensitivity of satellite-derived surface melt into the Regional Climate Model MAR: case study over the Antarctic Peninsula
Both regional climate models (RCMs) and remote sensing (RS) data are essential tools in understanding the response of polar regions to climate change. RCMs can simulate how certain climate variables, such as surface melt, runoff and snowfall, are likely to change in response to different climate sce...
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ftcopernicus:oai:publications.copernicus.org:egusphere108100 2023-11-05T03:36:58+01:00 Assimilation sensitivity of satellite-derived surface melt into the Regional Climate Model MAR: case study over the Antarctic Peninsula Dethinne, Thomas Glaude, Quentin Picard, Ghislain Kittel, Christoph Orban, Anne Fettweis, Xavier 2023-10-06 application/pdf https://doi.org/10.5194/egusphere-2022-1371 https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1371/ eng eng doi:10.5194/egusphere-2022-1371 https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1371/ eISSN: Text 2023 ftcopernicus https://doi.org/10.5194/egusphere-2022-1371 2023-10-09T16:24:16Z Both regional climate models (RCMs) and remote sensing (RS) data are essential tools in understanding the response of polar regions to climate change. RCMs can simulate how certain climate variables, such as surface melt, runoff and snowfall, are likely to change in response to different climate scenarios but are subject to biases and errors. RS data can assist in reducing and quantifying model uncertainties by providing indirect observations of the modeled variables on the present climate. In this work, we improve on an existing scheme to assimilate RS wet snow occurrence data with the “Modèle Atmosphérique Régional” (MAR) RCM and investigate the sensitivity of the RCM to the parameters of the scheme. The assimilation is performed by nudging the MAR snowpack temperature to match the presence of liquid water observed by satellites. The sensitivity of the assimilation method is tested by modifying parameters such as the depth to which the MAR snowpack is warmed or cooled, the quantity of water required to qualify a MAR pixel as “wet” (0.1 % or 0.2 % of the snowpack mass being water), and assimilating different RS datasets. Data assimilation is carried out on the Antarctic Peninsula for the 2019–2021 period. The results show an increase in meltwater production ( +66.7 % on average, or +95 Gt ), along with a small decrease in surface mass balance (SMB) ( −4.5 % on average, or −20 Gt ) for the 2019–2020 melt season after assimilation. The model is sensitive to the tested parameters, albeit with varying orders of magnitude. The prescribed warming depth has a larger impact on the resulting surface melt production than the liquid water content (LWC) threshold due to strong refreezing occurring within the top layers of the snowpack. The values tested for the LWC threshold are lower than the LWC for typical melt days (approximately 1.2 %) and impact results mainly at the beginning and end of the melting period. The assimilation method will allow for the estimation of uncertainty in MAR meltwater production and will ... Text Antarc* Antarctic Antarctic Peninsula Copernicus Publications: E-Journals |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
description |
Both regional climate models (RCMs) and remote sensing (RS) data are essential tools in understanding the response of polar regions to climate change. RCMs can simulate how certain climate variables, such as surface melt, runoff and snowfall, are likely to change in response to different climate scenarios but are subject to biases and errors. RS data can assist in reducing and quantifying model uncertainties by providing indirect observations of the modeled variables on the present climate. In this work, we improve on an existing scheme to assimilate RS wet snow occurrence data with the “Modèle Atmosphérique Régional” (MAR) RCM and investigate the sensitivity of the RCM to the parameters of the scheme. The assimilation is performed by nudging the MAR snowpack temperature to match the presence of liquid water observed by satellites. The sensitivity of the assimilation method is tested by modifying parameters such as the depth to which the MAR snowpack is warmed or cooled, the quantity of water required to qualify a MAR pixel as “wet” (0.1 % or 0.2 % of the snowpack mass being water), and assimilating different RS datasets. Data assimilation is carried out on the Antarctic Peninsula for the 2019–2021 period. The results show an increase in meltwater production ( +66.7 % on average, or +95 Gt ), along with a small decrease in surface mass balance (SMB) ( −4.5 % on average, or −20 Gt ) for the 2019–2020 melt season after assimilation. The model is sensitive to the tested parameters, albeit with varying orders of magnitude. The prescribed warming depth has a larger impact on the resulting surface melt production than the liquid water content (LWC) threshold due to strong refreezing occurring within the top layers of the snowpack. The values tested for the LWC threshold are lower than the LWC for typical melt days (approximately 1.2 %) and impact results mainly at the beginning and end of the melting period. The assimilation method will allow for the estimation of uncertainty in MAR meltwater production and will ... |
format |
Text |
author |
Dethinne, Thomas Glaude, Quentin Picard, Ghislain Kittel, Christoph Orban, Anne Fettweis, Xavier |
spellingShingle |
Dethinne, Thomas Glaude, Quentin Picard, Ghislain Kittel, Christoph Orban, Anne Fettweis, Xavier Assimilation sensitivity of satellite-derived surface melt into the Regional Climate Model MAR: case study over the Antarctic Peninsula |
author_facet |
Dethinne, Thomas Glaude, Quentin Picard, Ghislain Kittel, Christoph Orban, Anne Fettweis, Xavier |
author_sort |
Dethinne, Thomas |
title |
Assimilation sensitivity of satellite-derived surface melt into the Regional Climate Model MAR: case study over the Antarctic Peninsula |
title_short |
Assimilation sensitivity of satellite-derived surface melt into the Regional Climate Model MAR: case study over the Antarctic Peninsula |
title_full |
Assimilation sensitivity of satellite-derived surface melt into the Regional Climate Model MAR: case study over the Antarctic Peninsula |
title_fullStr |
Assimilation sensitivity of satellite-derived surface melt into the Regional Climate Model MAR: case study over the Antarctic Peninsula |
title_full_unstemmed |
Assimilation sensitivity of satellite-derived surface melt into the Regional Climate Model MAR: case study over the Antarctic Peninsula |
title_sort |
assimilation sensitivity of satellite-derived surface melt into the regional climate model mar: case study over the antarctic peninsula |
publishDate |
2023 |
url |
https://doi.org/10.5194/egusphere-2022-1371 https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1371/ |
genre |
Antarc* Antarctic Antarctic Peninsula |
genre_facet |
Antarc* Antarctic Antarctic Peninsula |
op_source |
eISSN: |
op_relation |
doi:10.5194/egusphere-2022-1371 https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1371/ |
op_doi |
https://doi.org/10.5194/egusphere-2022-1371 |
_version_ |
1781692320054247424 |