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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Main Author: Damseaux, A.
Format: Conference Object
Language:English
Published: 2023
Subjects:
Online Access:https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015922
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spelling 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
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