ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks
Section 1: Publication
Publication Type
Journal Article
Authorship
Cuntz Gerhard Krinner Chris Derksen Richard Essery Mark Flanner Stefan Hagemann Martyn Clark Alex Hall Helmut Rott Claire Brutel-Vuilmet Hyungjun Kim Cécile B.Ménard Lawrence Mudryk Chad Thackeray Libo Wang Gabriele Arduini Gianpaolo Balsamo Paul Bartlett Julia Boike Aaron Boone Frédérique Chéruy Jeanne Colin Matthias, Dai Yongjiu, Decharme Bertrand, Derry Jeff, Ducharne Agnès, Dutra Emanuel, Fang Xing, Fierz Charles, Ghattas Josephine, Gusev Yeugeniy, Haverd Vanessa, Kontu Anna, Lafaysse Matthieu, Law Rachel, Lawrence Dave, Li Weiping, Marke Thomas, Marks Danny, Ménégoz Martin, Nasonova Olga, Nitta Tomoko, Niwano Masashi, Pomeroy John, Raleigh Mark S., Schaedler Gerd, Semenov Vladimir, Smirnova Tanya G., Stacke Tobias, Strasser Ulrich, Svenson Sean, Turkov Dmitry, Wang Tao, Wever Nander, Yuan Hua, Zhou Wenyan, and Zhu Dan
Title
ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks
Year
2018
Publication Outlet
Geoscientific Model Development, 11, 5027-5049
DOI
ISBN
ISSN
Citation
Krinner, G., Derksen, C., Essery, R., Flanner, M., Hagemann, S., Clark, M., et al. (2018). ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks. Geoscientific Model Development, 11, 5027-5049. doi:10.5194/gmd-11-5027-2018.
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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