High resolution modelling of snow transport in complex terrain using downscaled MM5 wind fields

Snow transport is one of the most dominant processes influencing the snow cover accumulation and ablation in high mountain environments. Hence, the spatial and temporal variability of the snow cover is significantly modified with respective consequences on the total amount of water in the snow pack,...

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Published in:The Cryosphere
Main Authors: Bernhardt, M., Liston, G. E., Strasser, U., Zängl, G., Schulz, K.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2010
Subjects:
Online Access:https://doi.org/10.5194/tc-4-99-2010
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00029301 2023-05-15T18:32:32+02:00 High resolution modelling of snow transport in complex terrain using downscaled MM5 wind fields Bernhardt, M. Liston, G. E. Strasser, U. Zängl, G. Schulz, K. 2010-02 electronic https://doi.org/10.5194/tc-4-99-2010 https://noa.gwlb.de/receive/cop_mods_00029301 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00029256/tc-4-99-2010.pdf https://tc.copernicus.org/articles/4/99/2010/tc-4-99-2010.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-4-99-2010 https://noa.gwlb.de/receive/cop_mods_00029301 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00029256/tc-4-99-2010.pdf https://tc.copernicus.org/articles/4/99/2010/tc-4-99-2010.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2010 ftnonlinearchiv https://doi.org/10.5194/tc-4-99-2010 2022-02-08T22:47:46Z Snow transport is one of the most dominant processes influencing the snow cover accumulation and ablation in high mountain environments. Hence, the spatial and temporal variability of the snow cover is significantly modified with respective consequences on the total amount of water in the snow pack, on the temporal dynamics of the runoff and on the energy balance of the surface. For the present study we used the snow transport model SnowModel in combination with MM5 (Penn State University – National Center for Atmospheric Research MM5 model) generated wind fields. In a first step the MM5 wind fields were downscaled by using a semi-empirical approach which accounts for the elevation difference of model and real topography, and vegetation. The target resolution of 30 m corresponds to the resolution of the best available DEM and land cover map of the test site Berchtesgaden National Park. For the numerical modelling, data of six automatic meteorological stations were used, comprising the winter season (September–August) of 2003/04 and 2004/05. In addition we had automatic snow depth measurements and periodic manual measurements of snow courses available for the validation of the results. It could be shown that the model performance of SnowModel could be improved by using downscaled MM5 wind fields for the test site. Furthermore, it was shown that an estimation of snow transport from surrounding areas to glaciers becomes possible by using downscaled MM5 wind fields. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 4 1 99 113
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Bernhardt, M.
Liston, G. E.
Strasser, U.
Zängl, G.
Schulz, K.
High resolution modelling of snow transport in complex terrain using downscaled MM5 wind fields
topic_facet article
Verlagsveröffentlichung
description Snow transport is one of the most dominant processes influencing the snow cover accumulation and ablation in high mountain environments. Hence, the spatial and temporal variability of the snow cover is significantly modified with respective consequences on the total amount of water in the snow pack, on the temporal dynamics of the runoff and on the energy balance of the surface. For the present study we used the snow transport model SnowModel in combination with MM5 (Penn State University – National Center for Atmospheric Research MM5 model) generated wind fields. In a first step the MM5 wind fields were downscaled by using a semi-empirical approach which accounts for the elevation difference of model and real topography, and vegetation. The target resolution of 30 m corresponds to the resolution of the best available DEM and land cover map of the test site Berchtesgaden National Park. For the numerical modelling, data of six automatic meteorological stations were used, comprising the winter season (September–August) of 2003/04 and 2004/05. In addition we had automatic snow depth measurements and periodic manual measurements of snow courses available for the validation of the results. It could be shown that the model performance of SnowModel could be improved by using downscaled MM5 wind fields for the test site. Furthermore, it was shown that an estimation of snow transport from surrounding areas to glaciers becomes possible by using downscaled MM5 wind fields.
format Article in Journal/Newspaper
author Bernhardt, M.
Liston, G. E.
Strasser, U.
Zängl, G.
Schulz, K.
author_facet Bernhardt, M.
Liston, G. E.
Strasser, U.
Zängl, G.
Schulz, K.
author_sort Bernhardt, M.
title High resolution modelling of snow transport in complex terrain using downscaled MM5 wind fields
title_short High resolution modelling of snow transport in complex terrain using downscaled MM5 wind fields
title_full High resolution modelling of snow transport in complex terrain using downscaled MM5 wind fields
title_fullStr High resolution modelling of snow transport in complex terrain using downscaled MM5 wind fields
title_full_unstemmed High resolution modelling of snow transport in complex terrain using downscaled MM5 wind fields
title_sort high resolution modelling of snow transport in complex terrain using downscaled mm5 wind fields
publisher Copernicus Publications
publishDate 2010
url https://doi.org/10.5194/tc-4-99-2010
https://noa.gwlb.de/receive/cop_mods_00029301
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00029256/tc-4-99-2010.pdf
https://tc.copernicus.org/articles/4/99/2010/tc-4-99-2010.pdf
genre The Cryosphere
genre_facet The Cryosphere
op_relation The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424
https://doi.org/10.5194/tc-4-99-2010
https://noa.gwlb.de/receive/cop_mods_00029301
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00029256/tc-4-99-2010.pdf
https://tc.copernicus.org/articles/4/99/2010/tc-4-99-2010.pdf
op_rights uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/tc-4-99-2010
container_title The Cryosphere
container_volume 4
container_issue 1
container_start_page 99
op_container_end_page 113
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