Sensitivity of the MAR regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the Antarctic Peninsula
peer reviewed Abstract. 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...
Published in: | The Cryosphere |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Copernicus GmbH
2023
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Online Access: | https://orbi.uliege.be/handle/2268/307591 https://orbi.uliege.be/bitstream/2268/307591/1/tc-17-4267-2023.pdf https://doi.org/10.5194/tc-17-4267-2023 |
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ftorbi:oai:orbi.ulg.ac.be:2268/307591 2024-10-13T14:03:26+00:00 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 SPHERES - ULiège BE 2023-10-06 https://orbi.uliege.be/handle/2268/307591 https://orbi.uliege.be/bitstream/2268/307591/1/tc-17-4267-2023.pdf https://doi.org/10.5194/tc-17-4267-2023 en eng Copernicus GmbH https://tc.copernicus.org/articles/17/4267/2023/tc-17-4267-2023.pdf urn:issn:1994-0416 urn:issn:1994-0424 https://orbi.uliege.be/handle/2268/307591 info:hdl:2268/307591 open access http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess The Cryosphere, 17 (10), 4267-4288 (2023-10-06) Earth-Surface Processes Water Science and Technology Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique journal article http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article peer reviewed 2023 ftorbi https://doi.org/10.5194/tc-17-4267-2023 2024-09-27T07:02:08Z peer reviewed Abstract. 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 ... Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula The Cryosphere University of Liège: ORBi (Open Repository and Bibliography) Antarctic The Antarctic Antarctic Peninsula The Cryosphere 17 10 4267 4288 |
institution |
Open Polar |
collection |
University of Liège: ORBi (Open Repository and Bibliography) |
op_collection_id |
ftorbi |
language |
English |
topic |
Earth-Surface Processes Water Science and Technology Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique |
spellingShingle |
Earth-Surface Processes Water Science and Technology Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Dethinne, Thomas Glaude, Quentin Picard, Ghislain Kittel, Christoph Alexander, Patrick Orban, Anne Fettweis, Xavier Sensitivity of the MAR regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the Antarctic Peninsula |
topic_facet |
Earth-Surface Processes Water Science and Technology Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique |
description |
peer reviewed Abstract. 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 ... |
author2 |
SPHERES - ULiège BE |
format |
Article in Journal/Newspaper |
author |
Dethinne, Thomas Glaude, Quentin Picard, Ghislain Kittel, Christoph Alexander, Patrick Orban, Anne Fettweis, Xavier |
author_facet |
Dethinne, Thomas Glaude, Quentin Picard, Ghislain Kittel, Christoph Alexander, Patrick Orban, Anne Fettweis, Xavier |
author_sort |
Dethinne, Thomas |
title |
Sensitivity of the MAR regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the Antarctic Peninsula |
title_short |
Sensitivity of the MAR regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the Antarctic Peninsula |
title_full |
Sensitivity of the MAR regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the Antarctic Peninsula |
title_fullStr |
Sensitivity of the MAR regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the Antarctic Peninsula |
title_full_unstemmed |
Sensitivity of the MAR regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the Antarctic Peninsula |
title_sort |
sensitivity of the mar regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the antarctic peninsula |
publisher |
Copernicus GmbH |
publishDate |
2023 |
url |
https://orbi.uliege.be/handle/2268/307591 https://orbi.uliege.be/bitstream/2268/307591/1/tc-17-4267-2023.pdf https://doi.org/10.5194/tc-17-4267-2023 |
geographic |
Antarctic The Antarctic Antarctic Peninsula |
geographic_facet |
Antarctic The Antarctic Antarctic Peninsula |
genre |
Antarc* Antarctic Antarctic Peninsula The Cryosphere |
genre_facet |
Antarc* Antarctic Antarctic Peninsula The Cryosphere |
op_source |
The Cryosphere, 17 (10), 4267-4288 (2023-10-06) |
op_relation |
https://tc.copernicus.org/articles/17/4267/2023/tc-17-4267-2023.pdf urn:issn:1994-0416 urn:issn:1994-0424 https://orbi.uliege.be/handle/2268/307591 info:hdl:2268/307591 |
op_rights |
open access http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-17-4267-2023 |
container_title |
The Cryosphere |
container_volume |
17 |
container_issue |
10 |
container_start_page |
4267 |
op_container_end_page |
4288 |
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1812808416499859456 |