Transient thermal modeling of permafrost conditions in Southern Norway

Thermal modeling is a powerful tool to infer the temperature regime of the ground in permafrost areas. We present a transient permafrost model, CryoGrid 2, that calculates ground temperatures according to conductive heat transfer in the soil and in the snowpack. CryoGrid 2 is forced by operational a...

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Published in:The Cryosphere
Main Authors: Westermann, S., Schuler, T. V., Gisnås, K., Etzelmüller, B.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/tc-7-719-2013
https://tc.copernicus.org/articles/7/719/2013/
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spelling ftcopernicus:oai:publications.copernicus.org:tc18180 2023-05-15T17:55:21+02:00 Transient thermal modeling of permafrost conditions in Southern Norway Westermann, S. Schuler, T. V. Gisnås, K. Etzelmüller, B. 2018-09-27 application/pdf https://doi.org/10.5194/tc-7-719-2013 https://tc.copernicus.org/articles/7/719/2013/ eng eng doi:10.5194/tc-7-719-2013 https://tc.copernicus.org/articles/7/719/2013/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-7-719-2013 2020-07-20T16:25:29Z Thermal modeling is a powerful tool to infer the temperature regime of the ground in permafrost areas. We present a transient permafrost model, CryoGrid 2, that calculates ground temperatures according to conductive heat transfer in the soil and in the snowpack. CryoGrid 2 is forced by operational air temperature and snow-depth products for potential permafrost areas in Southern Norway for the period 1958 to 2009 at 1 km 2 spatial resolution. In total, an area of about 80 000 km 2 is covered. The model results are validated against borehole temperatures, permafrost probability maps from "bottom temperature of snow" measurements and inventories of landforms indicative of permafrost occurrence. The validation demonstrates that CryoGrid 2 can reproduce the observed lower permafrost limit to within 100 m at all validation sites, while the agreement between simulated and measured borehole temperatures is within 1 K for most sites. The number of grid cells with simulated permafrost does not change significantly between the 1960s and 1990s. In the 2000s, a significant reduction of about 40% of the area with average 2 m ground temperatures below 0 °C is found, which mostly corresponds to degrading permafrost with still negative temperatures in deeper ground layers. The thermal conductivity of the snow is the largest source of uncertainty in CryoGrid 2, strongly affecting the simulated permafrost area. Finally, the prospects of employing CryoGrid 2 as an operational soil-temperature product for Norway are discussed. Text permafrost Copernicus Publications: E-Journals Norway The Cryosphere 7 2 719 739
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Thermal modeling is a powerful tool to infer the temperature regime of the ground in permafrost areas. We present a transient permafrost model, CryoGrid 2, that calculates ground temperatures according to conductive heat transfer in the soil and in the snowpack. CryoGrid 2 is forced by operational air temperature and snow-depth products for potential permafrost areas in Southern Norway for the period 1958 to 2009 at 1 km 2 spatial resolution. In total, an area of about 80 000 km 2 is covered. The model results are validated against borehole temperatures, permafrost probability maps from "bottom temperature of snow" measurements and inventories of landforms indicative of permafrost occurrence. The validation demonstrates that CryoGrid 2 can reproduce the observed lower permafrost limit to within 100 m at all validation sites, while the agreement between simulated and measured borehole temperatures is within 1 K for most sites. The number of grid cells with simulated permafrost does not change significantly between the 1960s and 1990s. In the 2000s, a significant reduction of about 40% of the area with average 2 m ground temperatures below 0 °C is found, which mostly corresponds to degrading permafrost with still negative temperatures in deeper ground layers. The thermal conductivity of the snow is the largest source of uncertainty in CryoGrid 2, strongly affecting the simulated permafrost area. Finally, the prospects of employing CryoGrid 2 as an operational soil-temperature product for Norway are discussed.
format Text
author Westermann, S.
Schuler, T. V.
Gisnås, K.
Etzelmüller, B.
spellingShingle Westermann, S.
Schuler, T. V.
Gisnås, K.
Etzelmüller, B.
Transient thermal modeling of permafrost conditions in Southern Norway
author_facet Westermann, S.
Schuler, T. V.
Gisnås, K.
Etzelmüller, B.
author_sort Westermann, S.
title Transient thermal modeling of permafrost conditions in Southern Norway
title_short Transient thermal modeling of permafrost conditions in Southern Norway
title_full Transient thermal modeling of permafrost conditions in Southern Norway
title_fullStr Transient thermal modeling of permafrost conditions in Southern Norway
title_full_unstemmed Transient thermal modeling of permafrost conditions in Southern Norway
title_sort transient thermal modeling of permafrost conditions in southern norway
publishDate 2018
url https://doi.org/10.5194/tc-7-719-2013
https://tc.copernicus.org/articles/7/719/2013/
geographic Norway
geographic_facet Norway
genre permafrost
genre_facet permafrost
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-7-719-2013
https://tc.copernicus.org/articles/7/719/2013/
op_doi https://doi.org/10.5194/tc-7-719-2013
container_title The Cryosphere
container_volume 7
container_issue 2
container_start_page 719
op_container_end_page 739
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