Snow cover duration trends observed at sites and predicted bymultiple models
Richard Essery, Hyungjun Kim, Libo Wang, Paul Bartlett, Aaron Boone, Claire Brutel-Vuilmet, Eleanor Burke, Matthias Cuntz, Bertrand Decharme, Emanuel Dutra, Xing Fang, Yeugeniy M. Gusev, Stefan Hagemann, Vanessa Haverd, Anna Kontu, Gerhard Krinner, Matthieu Lafaysse, Yves Lejeune, Thomas Marke, Danny Marks, Christoph Marty, Cécile B. Ménard, О. Н. Насонова, Tomoko Nitta, John W. Pomeroy, Gerd Schaedler, В. А. Семенов, Tatiana G. Smirnova, Sean Swenson, Dmitry Turkov, Nander Wever, Hua Yuan
Abstract
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.- Cite:
- Richard Essery, Hyungjun Kim, Libo Wang, Paul Bartlett, Aaron Boone, Claire Brutel-Vuilmet, Eleanor Burke, Matthias Cuntz, Bertrand Decharme, Emanuel Dutra, Xing Fang, Yeugeniy M. Gusev, Stefan Hagemann, Vanessa Haverd, Anna Kontu, Gerhard Krinner, Matthieu Lafaysse, Yves Lejeune, Thomas Marke, et al.. 2020. Snow cover duration trends observed at sites and predicted bymultiple models.
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@article{Essery-2020-Snow,
title = "Snow cover duration trends observed at sites and predicted bymultiple models",
author = "Essery, Richard and
Kim, Hyungjun and
Wang, Libo and
Bartlett, Paul and
Boone, Aaron and
Brutel-Vuilmet, Claire and
Burke, Eleanor and
Cuntz, Matthias and
Decharme, Bertrand and
Dutra, Emanuel and
Fang, Xing and
Gusev, Yeugeniy M. and
Hagemann, Stefan and
Haverd, Vanessa and
Kontu, Anna and
Krinner, Gerhard and
Lafaysse, Matthieu and
Lejeune, Yves and
Marke, Thomas and
Marks, Danny and
Marty, Christoph and
M{\'e}nard, C{\'e}cile B. and
Насонова, О. Н. and
Nitta, Tomoko and
Pomeroy, John W. and
Schaedler, Gerd and
Семенов, В. А. and
Smirnova, Tatiana G. and
Swenson, Sean and
Turkov, Dmitry and
Wever, Nander and
Yuan, Hua",
journal = "",
year = "2020",
publisher = "Copernicus GmbH",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G20-3004",
doi = "10.5194/tc-2020-182",
abstract = "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.",
}
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<abstract>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.</abstract>
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%0 Journal Article %T Snow cover duration trends observed at sites and predicted bymultiple models %A Essery, Richard %A Kim, Hyungjun %A Wang, Libo %A Bartlett, Paul %A Boone, Aaron %A Brutel-Vuilmet, Claire %A Burke, Eleanor %A Cuntz, Matthias %A Decharme, Bertrand %A Dutra, Emanuel %A Fang, Xing %A Gusev, Yeugeniy M. %A Hagemann, Stefan %A Haverd, Vanessa %A Kontu, Anna %A Krinner, Gerhard %A Lafaysse, Matthieu %A Lejeune, Yves %A Marke, Thomas %A Marks, Danny %A Marty, Christoph %A Ménard, Cécile B. %A Насонова, О. Н. %A Nitta, Tomoko %A Pomeroy, John W. %A Schaedler, Gerd %A Семенов, В. А. %A Smirnova, Tatiana G. %A Swenson, Sean %A Turkov, Dmitry %A Wever, Nander %A Yuan, Hua %D 2020 %I Copernicus GmbH %F Essery-2020-Snow %X 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. %R 10.5194/tc-2020-182 %U https://gwf-uwaterloo.github.io/gwf-publications/G20-3004 %U https://doi.org/10.5194/tc-2020-182
Markdown (Informal)
[Snow cover duration trends observed at sites and predicted bymultiple models](https://gwf-uwaterloo.github.io/gwf-publications/G20-3004) (Essery et al., GWF 2020)
- Snow cover duration trends observed at sites and predicted bymultiple models (Essery et al., GWF 2020)
ACL
- Richard Essery, Hyungjun Kim, Libo Wang, Paul Bartlett, Aaron Boone, Claire Brutel-Vuilmet, Eleanor Burke, Matthias Cuntz, Bertrand Decharme, Emanuel Dutra, Xing Fang, Yeugeniy M. Gusev, Stefan Hagemann, Vanessa Haverd, Anna Kontu, Gerhard Krinner, Matthieu Lafaysse, Yves Lejeune, Thomas Marke, et al.. 2020. Snow cover duration trends observed at sites and predicted bymultiple models.