Modelling alpine permafrost distribution based on energy‐balance data: a first step

Abstract 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 sur...

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Published in:Permafrost and Periglacial Processes
Main Authors: Stocker‐Mittaz, Catherine, Hoelzle, Martin, Haeberli, Wilfried
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2002
Subjects:
Online Access:http://dx.doi.org/10.1002/ppp.426
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spelling crwiley:10.1002/ppp.426 2024-09-15T18:29:20+00:00 Modelling alpine permafrost distribution based on energy‐balance data: a first step Stocker‐Mittaz, Catherine Hoelzle, Martin Haeberli, Wilfried 2002 http://dx.doi.org/10.1002/ppp.426 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fppp.426 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.426 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Permafrost and Periglacial Processes volume 13, issue 4, page 271-282 ISSN 1045-6740 1099-1530 journal-article 2002 crwiley https://doi.org/10.1002/ppp.426 2024-07-25T04:23:01Z Abstract 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 km 2 , 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. Copyright © 2002 John Wiley & Sons, Ltd. Article in Journal/Newspaper permafrost Permafrost and Periglacial Processes Wiley Online Library Permafrost and Periglacial Processes 13 4 271 282
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract 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 km 2 , 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. Copyright © 2002 John Wiley & Sons, Ltd.
format Article in Journal/Newspaper
author Stocker‐Mittaz, Catherine
Hoelzle, Martin
Haeberli, Wilfried
spellingShingle Stocker‐Mittaz, Catherine
Hoelzle, Martin
Haeberli, Wilfried
Modelling alpine permafrost distribution based on energy‐balance data: a first step
author_facet Stocker‐Mittaz, Catherine
Hoelzle, Martin
Haeberli, Wilfried
author_sort Stocker‐Mittaz, Catherine
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 http://dx.doi.org/10.1002/ppp.426
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fppp.426
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.426
genre permafrost
Permafrost and Periglacial Processes
genre_facet permafrost
Permafrost and Periglacial Processes
op_source Permafrost and Periglacial Processes
volume 13, issue 4, page 271-282
ISSN 1045-6740 1099-1530
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/ppp.426
container_title Permafrost and Periglacial Processes
container_volume 13
container_issue 4
container_start_page 271
op_container_end_page 282
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