Snow cover duration trends observed at sites and predicted by multiple models
The 30-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 corre...
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Copernicus Publications
2020
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00055012 2024-09-15T18:39:00+00:00 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 2020-12 electronic https://doi.org/10.5194/tc-14-4687-2020 https://noa.gwlb.de/receive/cop_mods_00055012 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054663/tc-14-4687-2020.pdf https://tc.copernicus.org/articles/14/4687/2020/tc-14-4687-2020.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-14-4687-2020 https://noa.gwlb.de/receive/cop_mods_00055012 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054663/tc-14-4687-2020.pdf https://tc.copernicus.org/articles/14/4687/2020/tc-14-4687-2020.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2020 ftnonlinearchiv https://doi.org/10.5194/tc-14-4687-2020 2024-06-26T04:43:09Z The 30-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 Niedersächsisches Online-Archiv NOA The Cryosphere 14 12 4687 4698 |
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Niedersächsisches Online-Archiv NOA |
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ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung 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 |
article Verlagsveröffentlichung |
description |
The 30-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. |
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 |
Copernicus Publications |
publishDate |
2020 |
url |
https://doi.org/10.5194/tc-14-4687-2020 https://noa.gwlb.de/receive/cop_mods_00055012 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054663/tc-14-4687-2020.pdf https://tc.copernicus.org/articles/14/4687/2020/tc-14-4687-2020.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-14-4687-2020 https://noa.gwlb.de/receive/cop_mods_00055012 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054663/tc-14-4687-2020.pdf https://tc.copernicus.org/articles/14/4687/2020/tc-14-4687-2020.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt 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_ |
1810483394499313664 |