Assessing the performance of the community terrestrial system model in simulating arctic permafrost
Our study aims to evaluate the performance of the Community Terrestrial System Model (CTSM) in simulating Arctic permafrost areas. We compare (1) soil temperatures against an extensive network of 554 in-situ stations, (2) the active layer thickness against the Circumpolar Active Layer Monitoring Net...
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ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5015922 2023-06-11T04:02:53+02:00 Assessing the performance of the community terrestrial system model in simulating arctic permafrost Damseaux, A. 2023 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015922 eng eng info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-0484 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015922 XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) info:eu-repo/semantics/conferenceObject 2023 ftgfzpotsdam https://doi.org/10.57757/IUGG23-0484 2023-04-23T23:38:34Z Our study aims to evaluate the performance of the Community Terrestrial System Model (CTSM) in simulating Arctic permafrost areas. We compare (1) soil temperatures against an extensive network of 554 in-situ stations, (2) the active layer thickness against the Circumpolar Active Layer Monitoring Network (CALM), and (3) soil temperatures, the active layer thickness, and the permafrost extent against the grid-based product from the ESA Climate Change Initiative covering 1980 to 2021. To overcome the limitation of using average depth to assess land models, we introduce a new interpolation method called Partial Curve Mapping. Unlike traditional methods, this approach allows us to evaluate the land model without losing the soil depth variability, which we find essential to accurately assess any land model's capabilities. In addition, we run the model in three different configurations. The first is the (1) default mode with ERA5 atmospheric forcings. The second is the (2) GSWP3 mode with GSWP3 atmospheric forcings. The third is the (3) adaptative soil mode, where we change some soil characteristics based on local PFTs rather than using regional maps in the (1) default mode. Our results provide valuable insights on the performance of CTSM against the current largest land-model evaluation dataset over the Arctic region. In particular, we provide effective tools to measure the model's permafrost features and variability in terms of geographic space, time and depth. Furthermore, the different configurations allows us to test the impact of different forcings and soil characteristics in the model. Conference Object Active layer monitoring Active layer thickness Arctic Circumpolar Active Layer Monitoring Network Climate change permafrost GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Arctic |
institution |
Open Polar |
collection |
GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
op_collection_id |
ftgfzpotsdam |
language |
English |
description |
Our study aims to evaluate the performance of the Community Terrestrial System Model (CTSM) in simulating Arctic permafrost areas. We compare (1) soil temperatures against an extensive network of 554 in-situ stations, (2) the active layer thickness against the Circumpolar Active Layer Monitoring Network (CALM), and (3) soil temperatures, the active layer thickness, and the permafrost extent against the grid-based product from the ESA Climate Change Initiative covering 1980 to 2021. To overcome the limitation of using average depth to assess land models, we introduce a new interpolation method called Partial Curve Mapping. Unlike traditional methods, this approach allows us to evaluate the land model without losing the soil depth variability, which we find essential to accurately assess any land model's capabilities. In addition, we run the model in three different configurations. The first is the (1) default mode with ERA5 atmospheric forcings. The second is the (2) GSWP3 mode with GSWP3 atmospheric forcings. The third is the (3) adaptative soil mode, where we change some soil characteristics based on local PFTs rather than using regional maps in the (1) default mode. Our results provide valuable insights on the performance of CTSM against the current largest land-model evaluation dataset over the Arctic region. In particular, we provide effective tools to measure the model's permafrost features and variability in terms of geographic space, time and depth. Furthermore, the different configurations allows us to test the impact of different forcings and soil characteristics in the model. |
format |
Conference Object |
author |
Damseaux, A. |
spellingShingle |
Damseaux, A. Assessing the performance of the community terrestrial system model in simulating arctic permafrost |
author_facet |
Damseaux, A. |
author_sort |
Damseaux, A. |
title |
Assessing the performance of the community terrestrial system model in simulating arctic permafrost |
title_short |
Assessing the performance of the community terrestrial system model in simulating arctic permafrost |
title_full |
Assessing the performance of the community terrestrial system model in simulating arctic permafrost |
title_fullStr |
Assessing the performance of the community terrestrial system model in simulating arctic permafrost |
title_full_unstemmed |
Assessing the performance of the community terrestrial system model in simulating arctic permafrost |
title_sort |
assessing the performance of the community terrestrial system model in simulating arctic permafrost |
publishDate |
2023 |
url |
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015922 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Active layer monitoring Active layer thickness Arctic Circumpolar Active Layer Monitoring Network Climate change permafrost |
genre_facet |
Active layer monitoring Active layer thickness Arctic Circumpolar Active Layer Monitoring Network Climate change permafrost |
op_source |
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-0484 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015922 |
op_doi |
https://doi.org/10.57757/IUGG23-0484 |
_version_ |
1768382092481134592 |