Modelling alpine permafrost distribution based on energy-balance data: a first step
The computer model PERMEBAL (which stands for Permafrost and Energy Balance) simulates the persistence of snow cover and daily ground surface temperatures of snow-free gridpoints. It was developed for high-mountain conditions. The model describes different vertical energy fluxes at the surface. With...
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ftunivzuerich:oai:www.zora.uzh.ch:63221 2024-09-15T18:29:20+00:00 Modelling alpine permafrost distribution based on energy-balance data: a first step Stocker-Mittaz, C Hoelzle, M Haeberli, W 2002 application/pdf https://www.zora.uzh.ch/id/eprint/63221/ https://www.zora.uzh.ch/id/eprint/63221/1/Stocker-Mittaz_etal_2003_modelling_alpine.pdf https://doi.org/10.5167/uzh-63221 https://doi.org/10.1002/ppp.426 eng eng Wiley https://www.zora.uzh.ch/id/eprint/63221/1/Stocker-Mittaz_etal_2003_modelling_alpine.pdf doi:10.5167/uzh-63221 doi:10.1002/ppp.426 urn:issn:1045-6740 info:eu-repo/semantics/restrictedAccess Stocker-Mittaz, C; Hoelzle, M; Haeberli, W (2002). Modelling alpine permafrost distribution based on energy-balance data: a first step. Permafrost and Periglacial Processes, 13(4):271-282. Institute of Geography 910 Geography & travel Earth-Surface Processes Journal Article PeerReviewed info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2002 ftunivzuerich https://doi.org/10.5167/uzh-6322110.1002/ppp.426 2024-08-14T00:23:55Z The computer model PERMEBAL (which stands for Permafrost and Energy Balance) simulates the persistence of snow cover and daily ground surface temperatures of snow-free gridpoints. It was developed for high-mountain conditions. The model describes different vertical energy fluxes at the surface. With meteorological and site-specific input data, PERMEBAL delivers daily ground surface temperatures of snow-free gridpoints. Special emphasis is given to simulation of snow-cover development (snow fall, snow redistribution, snowmelt). The resulting ground surface temperature data are intended for use as input data for future ground heat flux simulations. The aim is to model ground thermal conditions and thus permafrost distribution. The model was applied to the Corvatsch-Furtschellas area (16 km², Engadin, eastern Switzerland). The results show that the area could be divided into three classes of mean annual sums of daily ground surface temperatures of snow-free pixels, similar to ‘permafrost probable’, ‘permafrost possible’ and ‘permafrost improbable’ classifications used in earlier empirical permafrost distribution models. Article in Journal/Newspaper permafrost Permafrost and Periglacial Processes University of Zurich (UZH): ZORA (Zurich Open Repository and Archive |
institution |
Open Polar |
collection |
University of Zurich (UZH): ZORA (Zurich Open Repository and Archive |
op_collection_id |
ftunivzuerich |
language |
English |
topic |
Institute of Geography 910 Geography & travel Earth-Surface Processes |
spellingShingle |
Institute of Geography 910 Geography & travel Earth-Surface Processes Stocker-Mittaz, C Hoelzle, M Haeberli, W Modelling alpine permafrost distribution based on energy-balance data: a first step |
topic_facet |
Institute of Geography 910 Geography & travel Earth-Surface Processes |
description |
The computer model PERMEBAL (which stands for Permafrost and Energy Balance) simulates the persistence of snow cover and daily ground surface temperatures of snow-free gridpoints. It was developed for high-mountain conditions. The model describes different vertical energy fluxes at the surface. With meteorological and site-specific input data, PERMEBAL delivers daily ground surface temperatures of snow-free gridpoints. Special emphasis is given to simulation of snow-cover development (snow fall, snow redistribution, snowmelt). The resulting ground surface temperature data are intended for use as input data for future ground heat flux simulations. The aim is to model ground thermal conditions and thus permafrost distribution. The model was applied to the Corvatsch-Furtschellas area (16 km², Engadin, eastern Switzerland). The results show that the area could be divided into three classes of mean annual sums of daily ground surface temperatures of snow-free pixels, similar to ‘permafrost probable’, ‘permafrost possible’ and ‘permafrost improbable’ classifications used in earlier empirical permafrost distribution models. |
format |
Article in Journal/Newspaper |
author |
Stocker-Mittaz, C Hoelzle, M Haeberli, W |
author_facet |
Stocker-Mittaz, C Hoelzle, M Haeberli, W |
author_sort |
Stocker-Mittaz, C |
title |
Modelling alpine permafrost distribution based on energy-balance data: a first step |
title_short |
Modelling alpine permafrost distribution based on energy-balance data: a first step |
title_full |
Modelling alpine permafrost distribution based on energy-balance data: a first step |
title_fullStr |
Modelling alpine permafrost distribution based on energy-balance data: a first step |
title_full_unstemmed |
Modelling alpine permafrost distribution based on energy-balance data: a first step |
title_sort |
modelling alpine permafrost distribution based on energy-balance data: a first step |
publisher |
Wiley |
publishDate |
2002 |
url |
https://www.zora.uzh.ch/id/eprint/63221/ https://www.zora.uzh.ch/id/eprint/63221/1/Stocker-Mittaz_etal_2003_modelling_alpine.pdf https://doi.org/10.5167/uzh-63221 https://doi.org/10.1002/ppp.426 |
genre |
permafrost Permafrost and Periglacial Processes |
genre_facet |
permafrost Permafrost and Periglacial Processes |
op_source |
Stocker-Mittaz, C; Hoelzle, M; Haeberli, W (2002). Modelling alpine permafrost distribution based on energy-balance data: a first step. Permafrost and Periglacial Processes, 13(4):271-282. |
op_relation |
https://www.zora.uzh.ch/id/eprint/63221/1/Stocker-Mittaz_etal_2003_modelling_alpine.pdf doi:10.5167/uzh-63221 doi:10.1002/ppp.426 urn:issn:1045-6740 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.5167/uzh-6322110.1002/ppp.426 |
_version_ |
1810470741142929408 |