Snowpack modelling in the Pyrenees driven by kilometric-resolution meteorological forecasts
International audience Abstract. 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...
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Online Access: | https://hal.science/hal-03684126 https://hal.science/hal-03684126/document https://hal.science/hal-03684126/file/tc-10-1571-2016.pdf https://doi.org/10.5194/tc-10-1571-2016 |
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ftunigrenoble:oai:HAL:hal-03684126v1 2024-05-12T08:11:55+00:00 Snowpack modelling in the Pyrenees driven by kilometric-resolution meteorological forecasts Quéno, Louis Vionnet, Vincent Dombrowski-Etchevers, Ingrid Lafaysse, Matthieu Dumont, Marie Karbou, Fatima Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) SLF DAVOS CHE Partenaires IRSTEA Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) 2016 https://hal.science/hal-03684126 https://hal.science/hal-03684126/document https://hal.science/hal-03684126/file/tc-10-1571-2016.pdf https://doi.org/10.5194/tc-10-1571-2016 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-10-1571-2016 hal-03684126 https://hal.science/hal-03684126 https://hal.science/hal-03684126/document https://hal.science/hal-03684126/file/tc-10-1571-2016.pdf doi:10.5194/tc-10-1571-2016 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03684126 The Cryosphere, 2016, 10 (4), pp.1571-1589. ⟨10.5194/tc-10-1571-2016⟩ [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology info:eu-repo/semantics/article Journal articles 2016 ftunigrenoble https://doi.org/10.5194/tc-10-1571-2016 2024-04-17T03:17:39Z International audience Abstract. 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 Université Grenoble Alpes: HAL The Cryosphere 10 4 1571 1589 |
institution |
Open Polar |
collection |
Université Grenoble Alpes: HAL |
op_collection_id |
ftunigrenoble |
language |
English |
topic |
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology |
spellingShingle |
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology 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 |
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology |
description |
International audience Abstract. 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. |
author2 |
Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) SLF DAVOS CHE Partenaires IRSTEA Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) |
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 |
HAL CCSD |
publishDate |
2016 |
url |
https://hal.science/hal-03684126 https://hal.science/hal-03684126/document https://hal.science/hal-03684126/file/tc-10-1571-2016.pdf https://doi.org/10.5194/tc-10-1571-2016 |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03684126 The Cryosphere, 2016, 10 (4), pp.1571-1589. ⟨10.5194/tc-10-1571-2016⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-10-1571-2016 hal-03684126 https://hal.science/hal-03684126 https://hal.science/hal-03684126/document https://hal.science/hal-03684126/file/tc-10-1571-2016.pdf doi:10.5194/tc-10-1571-2016 |
op_rights |
http://creativecommons.org/licenses/by/ 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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1798834148536745984 |