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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Published in:Permafrost and Periglacial Processes
Main Authors: Catherine Stocker‐Mittaz, Martin Hoelzle, Wilfried Haeberli
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:https://doi.org/10.1002/ppp.426
id ftrepec:oai:RePEc:wly:perpro:v:13:y:2002:i:4:p:271-282
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spelling 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
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
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. 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
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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