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...
Published in: | Permafrost and Periglacial Processes |
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Online Access: | https://doi.org/10.1002/ppp.426 |
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ftrepec:oai:RePEc:wly:perpro:v:13:y:2002:i:4:p:271-282 2023-05-15T17:55:24+02:00 Modelling alpine permafrost distribution based on energy‐balance data: a first step Catherine Stocker‐Mittaz Martin Hoelzle Wilfried Haeberli https://doi.org/10.1002/ppp.426 unknown https://doi.org/10.1002/ppp.426 article ftrepec https://doi.org/10.1002/ppp.426 2020-12-04T13:31:25Z 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. Copyright © 2002 John Wiley & Sons, Ltd. Article in Journal/Newspaper permafrost RePEc (Research Papers in Economics) Permafrost and Periglacial Processes 13 4 271 282 |
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Open Polar |
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RePEc (Research Papers in Economics) |
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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. Copyright © 2002 John Wiley & Sons, Ltd. |
format |
Article in Journal/Newspaper |
author |
Catherine Stocker‐Mittaz Martin Hoelzle Wilfried Haeberli |
spellingShingle |
Catherine Stocker‐Mittaz Martin Hoelzle Wilfried Haeberli Modelling alpine permafrost distribution based on energy‐balance data: a first step |
author_facet |
Catherine Stocker‐Mittaz Martin Hoelzle Wilfried Haeberli |
author_sort |
Catherine Stocker‐Mittaz |
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 |
url |
https://doi.org/10.1002/ppp.426 |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
https://doi.org/10.1002/ppp.426 |
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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