ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks
Gerhard Krinner, Chris Derksen, Richard Essery, M. Flanner, Stefan Hagemann, Martyn P. Clark, Alex Hall, Helmut Rott, Claire Brutel‐Vuilmet, Hyungjun Kim, Cécile B. Ménard, Lawrence Mudryk, Chad W. Thackeray, Libo Wang, Gabriele Arduini, Gianpaolo Balsamo, Paul Bartlett, Julia Boike, Aaron Boone, F. Chéruy, Jeanne Colin, Matthias Cuntz, Yongjiu Dai, Bertrand Decharme, Jeff Derry, Agnès Ducharne, Emanuel Dutra, Xing Fang, Charles Fierz, Josephine Ghattas, Yeugeniy M. Gusev, Vanessa Haverd, Anna Kontu, Matthieu Lafaysse, R. M. Law, David M. Lawrence, Weiping Li, Thomas Marke, Danny Marks, Martin Ménégoz, О. Н. Насонова, Tomoko Nitta, Michio Niwano, John W. Pomeroy, M. S. Raleigh, Gerd Schaedler, В. А. Семенов, Tanya Smirnova, Tobias Stacke, Ulrich Strasser, Sean Svenson, Dmitry Turkov, Tao Wang, Nander Wever, Hua Yuan, Wenyan Zhou, Dan Zhu
Abstract
Abstract. This paper describes ESM-SnowMIP, an international coordinated modelling effort to evaluate current snow schemes, including snow schemes that are included in Earth system models, in a wide variety of settings against local and global observations. The project aims to identify crucial processes and characteristics that need to be improved in snow models in the context of local- and global-scale modelling. A further objective of ESM-SnowMIP is to better quantify snow-related feedbacks in the Earth system. Although it is not part of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), ESM-SnowMIP is tightly linked to the CMIP6-endorsed Land Surface, Snow and Soil Moisture Model Intercomparison (LS3MIP).- Cite:
- Gerhard Krinner, Chris Derksen, Richard Essery, M. Flanner, Stefan Hagemann, Martyn P. Clark, Alex Hall, Helmut Rott, Claire Brutel‐Vuilmet, Hyungjun Kim, Cécile B. Ménard, Lawrence Mudryk, Chad W. Thackeray, Libo Wang, Gabriele Arduini, Gianpaolo Balsamo, Paul Bartlett, Julia Boike, Aaron Boone, et al.. 2018. ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks. Geoscientific Model Development, Volume 11, Issue 12, 11(12):5027–5049.
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@article{Krinner-2018-ESM-SnowMIP:,
title = "ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks",
author = "Krinner, Gerhard and
Derksen, Chris and
Essery, Richard and
Flanner, M. and
Hagemann, Stefan and
Clark, Martyn P. and
Hall, Alex and
Rott, Helmut and
Brutel‐Vuilmet, Claire and
Kim, Hyungjun and
M{\'e}nard, C{\'e}cile B. and
Mudryk, Lawrence and
Thackeray, Chad W. and
Wang, Libo and
Arduini, Gabriele and
Balsamo, Gianpaolo and
Bartlett, Paul and
Boike, Julia and
Boone, Aaron and
Ch{\'e}ruy, F. and
Colin, Jeanne and
Cuntz, Matthias and
Dai, Yongjiu and
Decharme, Bertrand and
Derry, Jeff and
Ducharne, Agn{\`e}s and
Dutra, Emanuel and
Fang, Xing and
Fierz, Charles and
Ghattas, Josephine and
Gusev, Yeugeniy M. and
Haverd, Vanessa and
Kontu, Anna and
Lafaysse, Matthieu and
Law, R. M. and
Lawrence, David M. and
Li, Weiping and
Marke, Thomas and
Marks, Danny and
M{\'e}n{\'e}goz, Martin and
Насонова, О. Н. and
Nitta, Tomoko and
Niwano, Michio and
Pomeroy, John W. and
Raleigh, M. S. and
Schaedler, Gerd and
Семенов, В. А. and
Smirnova, Tanya and
Stacke, Tobias and
Strasser, Ulrich and
Svenson, Sean and
Turkov, Dmitry and
Wang, Tao and
Wever, Nander and
Yuan, Hua and
Zhou, Wenyan and
Zhu, Dan",
journal = "Geoscientific Model Development, Volume 11, Issue 12",
volume = "11",
number = "12",
year = "2018",
publisher = "Copernicus GmbH",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G18-136001",
doi = "10.5194/gmd-11-5027-2018",
pages = "5027--5049",
abstract = "Abstract. This paper describes ESM-SnowMIP, an international coordinated modelling effort to evaluate current snow schemes, including snow schemes that are included in Earth system models, in a wide variety of settings against local and global observations. The project aims to identify crucial processes and characteristics that need to be improved in snow models in the context of local- and global-scale modelling. A further objective of ESM-SnowMIP is to better quantify snow-related feedbacks in the Earth system. Although it is not part of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), ESM-SnowMIP is tightly linked to the CMIP6-endorsed Land Surface, Snow and Soil Moisture Model Intercomparison (LS3MIP).",
}
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<abstract>Abstract. This paper describes ESM-SnowMIP, an international coordinated modelling effort to evaluate current snow schemes, including snow schemes that are included in Earth system models, in a wide variety of settings against local and global observations. The project aims to identify crucial processes and characteristics that need to be improved in snow models in the context of local- and global-scale modelling. A further objective of ESM-SnowMIP is to better quantify snow-related feedbacks in the Earth system. Although it is not part of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), ESM-SnowMIP is tightly linked to the CMIP6-endorsed Land Surface, Snow and Soil Moisture Model Intercomparison (LS3MIP).</abstract>
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%0 Journal Article %T ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks %A Krinner, Gerhard %A Derksen, Chris %A Essery, Richard %A Flanner, M. %A Hagemann, Stefan %A Clark, Martyn P. %A Hall, Alex %A Rott, Helmut %A Brutel‐Vuilmet, Claire %A Kim, Hyungjun %A Ménard, Cécile B. %A Mudryk, Lawrence %A Thackeray, Chad W. %A Wang, Libo %A Arduini, Gabriele %A Balsamo, Gianpaolo %A Bartlett, Paul %A Boike, Julia %A Boone, Aaron %A Chéruy, F. %A Colin, Jeanne %A Cuntz, Matthias %A Dai, Yongjiu %A Decharme, Bertrand %A Derry, Jeff %A Ducharne, Agnès %A Dutra, Emanuel %A Fang, Xing %A Fierz, Charles %A Ghattas, Josephine %A Gusev, Yeugeniy M. %A Haverd, Vanessa %A Kontu, Anna %A Lafaysse, Matthieu %A Law, R. M. %A Lawrence, David M. %A Li, Weiping %A Marke, Thomas %A Marks, Danny %A Ménégoz, Martin %A Насонова, О. Н. %A Nitta, Tomoko %A Niwano, Michio %A Pomeroy, John W. %A Raleigh, M. S. %A Schaedler, Gerd %A Семенов, В. А. %A Smirnova, Tanya %A Stacke, Tobias %A Strasser, Ulrich %A Svenson, Sean %A Turkov, Dmitry %A Wang, Tao %A Wever, Nander %A Yuan, Hua %A Zhou, Wenyan %A Zhu, Dan %J Geoscientific Model Development, Volume 11, Issue 12 %D 2018 %V 11 %N 12 %I Copernicus GmbH %F Krinner-2018-ESM-SnowMIP: %X Abstract. This paper describes ESM-SnowMIP, an international coordinated modelling effort to evaluate current snow schemes, including snow schemes that are included in Earth system models, in a wide variety of settings against local and global observations. The project aims to identify crucial processes and characteristics that need to be improved in snow models in the context of local- and global-scale modelling. A further objective of ESM-SnowMIP is to better quantify snow-related feedbacks in the Earth system. Although it is not part of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), ESM-SnowMIP is tightly linked to the CMIP6-endorsed Land Surface, Snow and Soil Moisture Model Intercomparison (LS3MIP). %R 10.5194/gmd-11-5027-2018 %U https://gwf-uwaterloo.github.io/gwf-publications/G18-136001 %U https://doi.org/10.5194/gmd-11-5027-2018 %P 5027-5049
Markdown (Informal)
[ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks](https://gwf-uwaterloo.github.io/gwf-publications/G18-136001) (Krinner et al., GWF 2018)
- ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks (Krinner et al., GWF 2018)
ACL
- Gerhard Krinner, Chris Derksen, Richard Essery, M. Flanner, Stefan Hagemann, Martyn P. Clark, Alex Hall, Helmut Rott, Claire Brutel‐Vuilmet, Hyungjun Kim, Cécile B. Ménard, Lawrence Mudryk, Chad W. Thackeray, Libo Wang, Gabriele Arduini, Gianpaolo Balsamo, Paul Bartlett, Julia Boike, Aaron Boone, et al.. 2018. ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks. Geoscientific Model Development, Volume 11, Issue 12, 11(12):5027–5049.