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...
Published in: | The Cryosphere |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Online Access: | https://hal.science/hal-03014264 https://hal.science/hal-03014264v2/document https://hal.science/hal-03014264v2/file/essery_final_tc-14-4687-2020.pdf https://doi.org/10.5194/tc-14-4687-2020 |
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ftinsu:oai:HAL:hal-03014264v2 2023-12-17T10:51:01+01:00 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, B 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)-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) 2020-12-21 https://hal.science/hal-03014264 https://hal.science/hal-03014264v2/document https://hal.science/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.science/hal-03014264 https://hal.science/hal-03014264v2/document https://hal.science/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.science/hal-03014264 The Cryosphere, 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 ftinsu https://doi.org/10.5194/tc-14-4687-2020 2023-11-22T17:38:23Z 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 Institut national des sciences de l'Univers: HAL-INSU The Cryosphere 14 12 4687 4698 |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
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, B 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)-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) |
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, B 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, B 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.science/hal-03014264 https://hal.science/hal-03014264v2/document https://hal.science/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.science/hal-03014264 The Cryosphere, 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.science/hal-03014264 https://hal.science/hal-03014264v2/document https://hal.science/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 |
_version_ |
1785576163716890624 |