Forcing the snow-cover model SNOWPACK with forecasted weather data

Avalanche danger is often estimated based on snow cover stratigraphy and snow stability data. In Canada, single forecasting regions are very large (>50 000 km2) and snow cover data are often not available. To provide additional information on the snow cover and its seasonal evolution the Swiss sn...

Full description

Bibliographic Details
Published in:The Cryosphere
Main Authors: Bellaire, S., Jamieson, J. B., Fierz, C.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2011
Subjects:
Online Access:https://doi.org/10.5194/tc-5-1115-2011
https://noa.gwlb.de/receive/cop_mods_00026438
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00026393/tc-5-1115-2011.pdf
https://tc.copernicus.org/articles/5/1115/2011/tc-5-1115-2011.pdf
id ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00026438
record_format openpolar
spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00026438 2023-05-15T18:32:32+02:00 Forcing the snow-cover model SNOWPACK with forecasted weather data Bellaire, S. Jamieson, J. B. Fierz, C. 2011-12 electronic https://doi.org/10.5194/tc-5-1115-2011 https://noa.gwlb.de/receive/cop_mods_00026438 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00026393/tc-5-1115-2011.pdf https://tc.copernicus.org/articles/5/1115/2011/tc-5-1115-2011.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-5-1115-2011 https://noa.gwlb.de/receive/cop_mods_00026438 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00026393/tc-5-1115-2011.pdf https://tc.copernicus.org/articles/5/1115/2011/tc-5-1115-2011.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2011 ftnonlinearchiv https://doi.org/10.5194/tc-5-1115-2011 2022-02-08T22:49:13Z Avalanche danger is often estimated based on snow cover stratigraphy and snow stability data. In Canada, single forecasting regions are very large (>50 000 km2) and snow cover data are often not available. To provide additional information on the snow cover and its seasonal evolution the Swiss snow cover model SNOWPACK was therefore coupled with a regional weather forecasting model GEM15. The output of GEM15 was compared to meteorological as well as snow cover data from Mt. Fidelity, British Columbia, Canada, for five winters between 2005 and 2010. Precipitation amounts are most difficult to predict for weather forecasting models. Therefore, we first assess the capability of the model chain to forecast new snow amounts and consequently snow depth. Forecasted precipitation amounts were generally over-estimated. The forecasted data were therefore filtered and used as input for the snow cover model. Comparison between the model output and manual observations showed that after pre-processing the input data the snow depth and new snow events were well modelled. In a case study two key factors of snow cover instability, i.e. surface hoar formation and crust formation were investigated at a single point. Over half of the relevant critical layers were reproduced. Overall, the model chain shows promising potential as a future forecasting tool for avalanche warning services in Canadian data sparse areas and could thus well be applied to similarly large regions elsewhere. However, a more detailed analysis of the simulated snow cover structure is still required. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA British Columbia ENVELOPE(-125.003,-125.003,54.000,54.000) Canada The Cryosphere 5 4 1115 1125
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Bellaire, S.
Jamieson, J. B.
Fierz, C.
Forcing the snow-cover model SNOWPACK with forecasted weather data
topic_facet article
Verlagsveröffentlichung
description Avalanche danger is often estimated based on snow cover stratigraphy and snow stability data. In Canada, single forecasting regions are very large (>50 000 km2) and snow cover data are often not available. To provide additional information on the snow cover and its seasonal evolution the Swiss snow cover model SNOWPACK was therefore coupled with a regional weather forecasting model GEM15. The output of GEM15 was compared to meteorological as well as snow cover data from Mt. Fidelity, British Columbia, Canada, for five winters between 2005 and 2010. Precipitation amounts are most difficult to predict for weather forecasting models. Therefore, we first assess the capability of the model chain to forecast new snow amounts and consequently snow depth. Forecasted precipitation amounts were generally over-estimated. The forecasted data were therefore filtered and used as input for the snow cover model. Comparison between the model output and manual observations showed that after pre-processing the input data the snow depth and new snow events were well modelled. In a case study two key factors of snow cover instability, i.e. surface hoar formation and crust formation were investigated at a single point. Over half of the relevant critical layers were reproduced. Overall, the model chain shows promising potential as a future forecasting tool for avalanche warning services in Canadian data sparse areas and could thus well be applied to similarly large regions elsewhere. However, a more detailed analysis of the simulated snow cover structure is still required.
format Article in Journal/Newspaper
author Bellaire, S.
Jamieson, J. B.
Fierz, C.
author_facet Bellaire, S.
Jamieson, J. B.
Fierz, C.
author_sort Bellaire, S.
title Forcing the snow-cover model SNOWPACK with forecasted weather data
title_short Forcing the snow-cover model SNOWPACK with forecasted weather data
title_full Forcing the snow-cover model SNOWPACK with forecasted weather data
title_fullStr Forcing the snow-cover model SNOWPACK with forecasted weather data
title_full_unstemmed Forcing the snow-cover model SNOWPACK with forecasted weather data
title_sort forcing the snow-cover model snowpack with forecasted weather data
publisher Copernicus Publications
publishDate 2011
url https://doi.org/10.5194/tc-5-1115-2011
https://noa.gwlb.de/receive/cop_mods_00026438
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00026393/tc-5-1115-2011.pdf
https://tc.copernicus.org/articles/5/1115/2011/tc-5-1115-2011.pdf
long_lat ENVELOPE(-125.003,-125.003,54.000,54.000)
geographic British Columbia
Canada
geographic_facet British Columbia
Canada
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-5-1115-2011
https://noa.gwlb.de/receive/cop_mods_00026438
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00026393/tc-5-1115-2011.pdf
https://tc.copernicus.org/articles/5/1115/2011/tc-5-1115-2011.pdf
op_rights uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/tc-5-1115-2011
container_title The Cryosphere
container_volume 5
container_issue 4
container_start_page 1115
op_container_end_page 1125
_version_ 1766216672253837312