Snowpack modelling in the Pyrenees driven by kilometric-resolution meteorological forecasts

Distributed snowpack simulations in the French and Spanish Pyrenees are carried out using the detailed snowpack model Crocus driven by the numerical weather prediction system AROME at 2.5 km grid spacing, during four consecutive winters from 2010 to 2014. The aim of this study is to assess the benef...

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Published in:The Cryosphere
Main Authors: Quéno, Louis, Vionnet, Vincent, Dombrowski-Etchevers, Ingrid, Lafaysse, Matthieu, Dumont, Marie, Karbou, Fatima
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2016
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Online Access:https://doi.org/10.5194/tc-10-1571-2016
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00011804 2023-05-15T18:32:32+02:00 Snowpack modelling in the Pyrenees driven by kilometric-resolution meteorological forecasts Quéno, Louis Vionnet, Vincent Dombrowski-Etchevers, Ingrid Lafaysse, Matthieu Dumont, Marie Karbou, Fatima 2016-07 electronic https://doi.org/10.5194/tc-10-1571-2016 https://noa.gwlb.de/receive/cop_mods_00011804 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00011761/tc-10-1571-2016.pdf https://tc.copernicus.org/articles/10/1571/2016/tc-10-1571-2016.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-10-1571-2016 https://noa.gwlb.de/receive/cop_mods_00011804 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00011761/tc-10-1571-2016.pdf https://tc.copernicus.org/articles/10/1571/2016/tc-10-1571-2016.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2016 ftnonlinearchiv https://doi.org/10.5194/tc-10-1571-2016 2022-02-08T22:56:20Z Distributed snowpack simulations in the French and Spanish Pyrenees are carried out using the detailed snowpack model Crocus driven by the numerical weather prediction system AROME at 2.5 km grid spacing, during four consecutive winters from 2010 to 2014. The aim of this study is to assess the benefits of a kilometric-resolution atmospheric forcing to a snowpack model for describing the spatial variability of the seasonal snow cover over a mountain range. The evaluation is performed by comparisons to ground-based measurements of the snow depth, the snow water equivalent and precipitations, to satellite snow cover images and to snowpack simulations driven by the SAFRAN analysis system. Snow depths simulated by AROME–Crocus exhibit an overall positive bias, particularly marked over the first summits near the Atlantic Ocean. The simulation of mesoscale orographic effects by AROME gives a realistic regional snowpack variability, unlike SAFRAN–Crocus. The categorical study of daily snow depth variations gives a differentiated perspective of accumulation and ablation processes. Both models underestimate strong snow accumulations and strong snow depth decreases, which is mainly due to the non-simulated wind-induced erosion, the underestimation of strong melting and an insufficient settling after snowfalls. The problematic assimilation of precipitation gauge measurements is also emphasized, which raises the issue of a need for a dedicated analysis to complement the benefits of AROME kilometric resolution and dynamical behaviour in mountainous terrain. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 10 4 1571 1589
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Quéno, Louis
Vionnet, Vincent
Dombrowski-Etchevers, Ingrid
Lafaysse, Matthieu
Dumont, Marie
Karbou, Fatima
Snowpack modelling in the Pyrenees driven by kilometric-resolution meteorological forecasts
topic_facet article
Verlagsveröffentlichung
description Distributed snowpack simulations in the French and Spanish Pyrenees are carried out using the detailed snowpack model Crocus driven by the numerical weather prediction system AROME at 2.5 km grid spacing, during four consecutive winters from 2010 to 2014. The aim of this study is to assess the benefits of a kilometric-resolution atmospheric forcing to a snowpack model for describing the spatial variability of the seasonal snow cover over a mountain range. The evaluation is performed by comparisons to ground-based measurements of the snow depth, the snow water equivalent and precipitations, to satellite snow cover images and to snowpack simulations driven by the SAFRAN analysis system. Snow depths simulated by AROME–Crocus exhibit an overall positive bias, particularly marked over the first summits near the Atlantic Ocean. The simulation of mesoscale orographic effects by AROME gives a realistic regional snowpack variability, unlike SAFRAN–Crocus. The categorical study of daily snow depth variations gives a differentiated perspective of accumulation and ablation processes. Both models underestimate strong snow accumulations and strong snow depth decreases, which is mainly due to the non-simulated wind-induced erosion, the underestimation of strong melting and an insufficient settling after snowfalls. The problematic assimilation of precipitation gauge measurements is also emphasized, which raises the issue of a need for a dedicated analysis to complement the benefits of AROME kilometric resolution and dynamical behaviour in mountainous terrain.
format Article in Journal/Newspaper
author Quéno, Louis
Vionnet, Vincent
Dombrowski-Etchevers, Ingrid
Lafaysse, Matthieu
Dumont, Marie
Karbou, Fatima
author_facet Quéno, Louis
Vionnet, Vincent
Dombrowski-Etchevers, Ingrid
Lafaysse, Matthieu
Dumont, Marie
Karbou, Fatima
author_sort Quéno, Louis
title Snowpack modelling in the Pyrenees driven by kilometric-resolution meteorological forecasts
title_short Snowpack modelling in the Pyrenees driven by kilometric-resolution meteorological forecasts
title_full Snowpack modelling in the Pyrenees driven by kilometric-resolution meteorological forecasts
title_fullStr Snowpack modelling in the Pyrenees driven by kilometric-resolution meteorological forecasts
title_full_unstemmed Snowpack modelling in the Pyrenees driven by kilometric-resolution meteorological forecasts
title_sort snowpack modelling in the pyrenees driven by kilometric-resolution meteorological forecasts
publisher Copernicus Publications
publishDate 2016
url https://doi.org/10.5194/tc-10-1571-2016
https://noa.gwlb.de/receive/cop_mods_00011804
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00011761/tc-10-1571-2016.pdf
https://tc.copernicus.org/articles/10/1571/2016/tc-10-1571-2016.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-10-1571-2016
https://noa.gwlb.de/receive/cop_mods_00011804
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00011761/tc-10-1571-2016.pdf
https://tc.copernicus.org/articles/10/1571/2016/tc-10-1571-2016.pdf
op_rights uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/tc-10-1571-2016
container_title The Cryosphere
container_volume 10
container_issue 4
container_start_page 1571
op_container_end_page 1589
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