Evaluating state-of-the-art climate models’ ability to simulate spatio-temporal patterns of seasonal snow cover in coastal Greenland ...
<!--!introduction!--> Seasonal snow cover in coastal Greenland has important climatic and ecological impacts. Despite the extensive network for monitoring the Greenland Ice Sheet and mountain glaciers, the knowledge about seasonal snow cover in the ice-free parts of the coastal regions is limi...
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GFZ German Research Centre for Geosciences
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Online Access: | https://dx.doi.org/10.57757/iugg23-1718 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017872 |
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ftdatacite:10.57757/iugg23-1718 2023-07-23T04:19:28+02:00 Evaluating state-of-the-art climate models’ ability to simulate spatio-temporal patterns of seasonal snow cover in coastal Greenland ... Van Der Schot, Jorrit Abermann, Jakob Rasmussen, Kerstin Silva, Tiago Langley, Kirsty Winkler, Michael Schöner, Wolfgang 2023 https://dx.doi.org/10.57757/iugg23-1718 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017872 unknown GFZ German Research Centre for Geosciences Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Article ConferencePaper Oral 2023 ftdatacite https://doi.org/10.57757/iugg23-1718 2023-07-03T16:15:52Z <!--!introduction!--> Seasonal snow cover in coastal Greenland has important climatic and ecological impacts. Despite the extensive network for monitoring the Greenland Ice Sheet and mountain glaciers, the knowledge about seasonal snow cover in the ice-free parts of the coastal regions is limited. Snow observations from the east and west coasts are available at a few locations and are crucial for understanding dynamics, variability and changes. This study aims to evaluate the ability of a polar regional climate model (RACMO2.3p2) and reanalysis product (CARRA) to simulate observed spatio-temporal patterns of seasonal snow cover in coastal Greenland from 1997 to the present. We compare the model's performance on different latitudes and coasts, and test its ability to capture the large interannual variability detected in the observational data. We will compare several important variables from the model with available observations, focusing on climatic and ecologically relevant metrics such as maximum ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... Conference Object Greenland Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Greenland |
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<!--!introduction!--> Seasonal snow cover in coastal Greenland has important climatic and ecological impacts. Despite the extensive network for monitoring the Greenland Ice Sheet and mountain glaciers, the knowledge about seasonal snow cover in the ice-free parts of the coastal regions is limited. Snow observations from the east and west coasts are available at a few locations and are crucial for understanding dynamics, variability and changes. This study aims to evaluate the ability of a polar regional climate model (RACMO2.3p2) and reanalysis product (CARRA) to simulate observed spatio-temporal patterns of seasonal snow cover in coastal Greenland from 1997 to the present. We compare the model's performance on different latitudes and coasts, and test its ability to capture the large interannual variability detected in the observational data. We will compare several important variables from the model with available observations, focusing on climatic and ecologically relevant metrics such as maximum ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... |
format |
Conference Object |
author |
Van Der Schot, Jorrit Abermann, Jakob Rasmussen, Kerstin Silva, Tiago Langley, Kirsty Winkler, Michael Schöner, Wolfgang |
spellingShingle |
Van Der Schot, Jorrit Abermann, Jakob Rasmussen, Kerstin Silva, Tiago Langley, Kirsty Winkler, Michael Schöner, Wolfgang Evaluating state-of-the-art climate models’ ability to simulate spatio-temporal patterns of seasonal snow cover in coastal Greenland ... |
author_facet |
Van Der Schot, Jorrit Abermann, Jakob Rasmussen, Kerstin Silva, Tiago Langley, Kirsty Winkler, Michael Schöner, Wolfgang |
author_sort |
Van Der Schot, Jorrit |
title |
Evaluating state-of-the-art climate models’ ability to simulate spatio-temporal patterns of seasonal snow cover in coastal Greenland ... |
title_short |
Evaluating state-of-the-art climate models’ ability to simulate spatio-temporal patterns of seasonal snow cover in coastal Greenland ... |
title_full |
Evaluating state-of-the-art climate models’ ability to simulate spatio-temporal patterns of seasonal snow cover in coastal Greenland ... |
title_fullStr |
Evaluating state-of-the-art climate models’ ability to simulate spatio-temporal patterns of seasonal snow cover in coastal Greenland ... |
title_full_unstemmed |
Evaluating state-of-the-art climate models’ ability to simulate spatio-temporal patterns of seasonal snow cover in coastal Greenland ... |
title_sort |
evaluating state-of-the-art climate models’ ability to simulate spatio-temporal patterns of seasonal snow cover in coastal greenland ... |
publisher |
GFZ German Research Centre for Geosciences |
publishDate |
2023 |
url |
https://dx.doi.org/10.57757/iugg23-1718 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017872 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.57757/iugg23-1718 |
_version_ |
1772182572887965696 |