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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Main Authors: Stocker-Mittaz, C, Hoelzle, M, Haeberli, W
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2002
Subjects:
Online Access: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
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record_format openpolar
spelling 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
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