Snow cover duration trends observed at sites and predicted by multiple models

International audience Abstract. Thirty-year simulations of seasonal snow cover in 22 physically based models driven with bias-corrected meteorological reanalyses are examined at four sites with long records of snow observations. Annual snow cover durations differ widely between models but interannu...

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Published in:The Cryosphere
Main Authors: Essery, Richard, Kim, Hyungjun, Wang, Libo, Bartlett, Paul, Boone, Aaron, Brutel-Vuilmet, Claire, Burke, Eleanor, Cuntz, Matthias, Decharme, Bertrand, Dutra, Emanuel, Fang, Xing, Gusev, Yeugeniy, Hagemann, Stefan, Haverd, Vanessa, Kontu, Anna, Krinner, Gerhard, Lafaysse, Matthieu, Lejeune, Yves, Marke, Thomas, Marks, Danny, Marty, Christoph, Menard, Cecile, Nasonova, Olga, Nitta, Tomoko, Pomeroy, John, Schädler, Gerd, Semenov, Vladimir, Smirnova, Tatiana, Swenson, Sean, Turkov, Dmitry, Wever, Nander, Yuan, Hua
Other Authors: SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2020
Subjects:
Online Access:https://hal.archives-ouvertes.fr/hal-03014264
https://hal.archives-ouvertes.fr/hal-03014264v2/document
https://hal.archives-ouvertes.fr/hal-03014264v2/file/essery_final_tc-14-4687-2020.pdf
https://doi.org/10.5194/tc-14-4687-2020
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spelling ftccsdartic:oai:HAL:hal-03014264v2 2023-05-15T18:32:14+02:00 Snow cover duration trends observed at sites and predicted by multiple models Essery, Richard Kim, Hyungjun Wang, Libo Bartlett, Paul Boone, Aaron Brutel-Vuilmet, Claire Burke, Eleanor Cuntz, Matthias Decharme, Bertrand Dutra, Emanuel Fang, Xing Gusev, Yeugeniy Hagemann, Stefan Haverd, Vanessa Kontu, Anna Krinner, Gerhard Lafaysse, Matthieu Lejeune, Yves Marke, Thomas Marks, Danny Marty, Christoph Menard, Cecile, Nasonova, Olga Nitta, Tomoko Pomeroy, John Schädler, Gerd Semenov, Vladimir Smirnova, Tatiana Swenson, Sean Turkov, Dmitry Wever, Nander Yuan, Hua SILVA (SILVA) AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS) 2020-12-21 https://hal.archives-ouvertes.fr/hal-03014264 https://hal.archives-ouvertes.fr/hal-03014264v2/document https://hal.archives-ouvertes.fr/hal-03014264v2/file/essery_final_tc-14-4687-2020.pdf https://doi.org/10.5194/tc-14-4687-2020 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-14-4687-2020 hal-03014264 https://hal.archives-ouvertes.fr/hal-03014264 https://hal.archives-ouvertes.fr/hal-03014264v2/document https://hal.archives-ouvertes.fr/hal-03014264v2/file/essery_final_tc-14-4687-2020.pdf doi:10.5194/tc-14-4687-2020 WOS: 000602511800004 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.archives-ouvertes.fr/hal-03014264 The Cryosphere, Copernicus 2020, 14, pp.4687 - 4698. ⟨10.5194/tc-14-4687-2020⟩ [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology info:eu-repo/semantics/article Journal articles 2020 ftccsdartic https://doi.org/10.5194/tc-14-4687-2020 2021-11-07T00:24:29Z International audience Abstract. Thirty-year simulations of seasonal snow cover in 22 physically based models driven with bias-corrected meteorological reanalyses are examined at four sites with long records of snow observations. Annual snow cover durations differ widely between models but interannual variations are strongly correlated because of the common driving data. No significant trends are observed in starting dates for seasonal snow cover, but there are significant trends towards snow cover ending earlier at two of the sites in observations and most of the models. A simplified model with just two parameters controlling solar radiation and sensible heat contributions to snowmelt spans the ranges of snow cover durations and trends. This model predicts that sites where snow persists beyond annual peaks in solar radiation and air temperature will experience rapid decreases in snow cover duration with warming as snow begins to melt earlier and at times of year with more energy available for melting. Article in Journal/Newspaper The Cryosphere Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) The Cryosphere 14 12 4687 4698
institution Open Polar
collection Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
op_collection_id ftccsdartic
language English
topic [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology
spellingShingle [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology
Essery, Richard
Kim, Hyungjun
Wang, Libo
Bartlett, Paul
Boone, Aaron
Brutel-Vuilmet, Claire
Burke, Eleanor
Cuntz, Matthias
Decharme, Bertrand
Dutra, Emanuel
Fang, Xing
Gusev, Yeugeniy
Hagemann, Stefan
Haverd, Vanessa
Kontu, Anna
Krinner, Gerhard
Lafaysse, Matthieu
Lejeune, Yves
Marke, Thomas
Marks, Danny
Marty, Christoph
Menard, Cecile,
Nasonova, Olga
Nitta, Tomoko
Pomeroy, John
Schädler, Gerd
Semenov, Vladimir
Smirnova, Tatiana
Swenson, Sean
Turkov, Dmitry
Wever, Nander
Yuan, Hua
Snow cover duration trends observed at sites and predicted by multiple models
topic_facet [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology
description International audience Abstract. Thirty-year simulations of seasonal snow cover in 22 physically based models driven with bias-corrected meteorological reanalyses are examined at four sites with long records of snow observations. Annual snow cover durations differ widely between models but interannual variations are strongly correlated because of the common driving data. No significant trends are observed in starting dates for seasonal snow cover, but there are significant trends towards snow cover ending earlier at two of the sites in observations and most of the models. A simplified model with just two parameters controlling solar radiation and sensible heat contributions to snowmelt spans the ranges of snow cover durations and trends. This model predicts that sites where snow persists beyond annual peaks in solar radiation and air temperature will experience rapid decreases in snow cover duration with warming as snow begins to melt earlier and at times of year with more energy available for melting.
author2 SILVA (SILVA)
AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Centre national de recherches météorologiques (CNRM)
Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author Essery, Richard
Kim, Hyungjun
Wang, Libo
Bartlett, Paul
Boone, Aaron
Brutel-Vuilmet, Claire
Burke, Eleanor
Cuntz, Matthias
Decharme, Bertrand
Dutra, Emanuel
Fang, Xing
Gusev, Yeugeniy
Hagemann, Stefan
Haverd, Vanessa
Kontu, Anna
Krinner, Gerhard
Lafaysse, Matthieu
Lejeune, Yves
Marke, Thomas
Marks, Danny
Marty, Christoph
Menard, Cecile,
Nasonova, Olga
Nitta, Tomoko
Pomeroy, John
Schädler, Gerd
Semenov, Vladimir
Smirnova, Tatiana
Swenson, Sean
Turkov, Dmitry
Wever, Nander
Yuan, Hua
author_facet Essery, Richard
Kim, Hyungjun
Wang, Libo
Bartlett, Paul
Boone, Aaron
Brutel-Vuilmet, Claire
Burke, Eleanor
Cuntz, Matthias
Decharme, Bertrand
Dutra, Emanuel
Fang, Xing
Gusev, Yeugeniy
Hagemann, Stefan
Haverd, Vanessa
Kontu, Anna
Krinner, Gerhard
Lafaysse, Matthieu
Lejeune, Yves
Marke, Thomas
Marks, Danny
Marty, Christoph
Menard, Cecile,
Nasonova, Olga
Nitta, Tomoko
Pomeroy, John
Schädler, Gerd
Semenov, Vladimir
Smirnova, Tatiana
Swenson, Sean
Turkov, Dmitry
Wever, Nander
Yuan, Hua
author_sort Essery, Richard
title Snow cover duration trends observed at sites and predicted by multiple models
title_short Snow cover duration trends observed at sites and predicted by multiple models
title_full Snow cover duration trends observed at sites and predicted by multiple models
title_fullStr Snow cover duration trends observed at sites and predicted by multiple models
title_full_unstemmed Snow cover duration trends observed at sites and predicted by multiple models
title_sort snow cover duration trends observed at sites and predicted by multiple models
publisher HAL CCSD
publishDate 2020
url https://hal.archives-ouvertes.fr/hal-03014264
https://hal.archives-ouvertes.fr/hal-03014264v2/document
https://hal.archives-ouvertes.fr/hal-03014264v2/file/essery_final_tc-14-4687-2020.pdf
https://doi.org/10.5194/tc-14-4687-2020
genre The Cryosphere
genre_facet The Cryosphere
op_source ISSN: 1994-0424
EISSN: 1994-0416
The Cryosphere
https://hal.archives-ouvertes.fr/hal-03014264
The Cryosphere, Copernicus 2020, 14, pp.4687 - 4698. ⟨10.5194/tc-14-4687-2020⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-14-4687-2020
hal-03014264
https://hal.archives-ouvertes.fr/hal-03014264
https://hal.archives-ouvertes.fr/hal-03014264v2/document
https://hal.archives-ouvertes.fr/hal-03014264v2/file/essery_final_tc-14-4687-2020.pdf
doi:10.5194/tc-14-4687-2020
WOS: 000602511800004
op_rights http://creativecommons.org/licenses/by/
info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.5194/tc-14-4687-2020
container_title The Cryosphere
container_volume 14
container_issue 12
container_start_page 4687
op_container_end_page 4698
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