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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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 |
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Wiley Online Library |
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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 |
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Permafrost and Periglacial Processes |
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13 |
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4 |
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271 |
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282 |
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1810470739912949760 |