ESM-SnowMIP: Assessing snow models and quantifying snow-related climate feedbacks

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 Cuntz; Yongjiu Dai; Bertrand Decharme; Jeff Derry; Agnès Ducharne; Emanuel Dutra; Xing Fang; Charles Fierz; Josephine Ghattas; Yeugeniy Gusev; Vanessa Haverd; Anna Kontu; Matthieu Lafaysse; Rachel Law; Dave Lawrence; Weiping Li; Thomas Marke; Danny Marks; Martin Ménégoz; Olga Nasonova; Tomoko Nitta; Masashi Niwano; John Pomeroy; Mark S. Raleigh; Gerd Schaedler; Vladimir Semenov; Tanya G. Smirnova; Tobias Stacke; Ulrich Strasser; Sean Svenson; Dmitry Turkov; Tao Wang; Nander Wever; Hua Yuan; Wenyan Zhou; Dan Zhu

doi:10.5194/gmd-11-5027-2018

ESM-SnowMIP: Assessing snow models and quantifying snow-related climate feedbacks

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 Cuntz, Yongjiu Dai, Bertrand Decharme, Jeff Derry, Agnès Ducharne, Emanuel Dutra, Xing Fang, Charles Fierz, Josephine Ghattas, Yeugeniy Gusev, Vanessa Haverd, Anna Kontu, Matthieu Lafaysse, Rachel Law, Dave Lawrence, Weiping Li, Thomas Marke, Danny Marks, Martin Ménégoz, Olga Nasonova, Tomoko Nitta, Masashi Niwano, John Pomeroy, Mark S. Raleigh, Gerd Schaedler, Vladimir Semenov, Tanya G. Smirnova, Tobias Stacke, Ulrich Strasser, Sean Svenson, Dmitry Turkov, Tao Wang, Nander Wever, Hua Yuan, Wenyan Zhou, Dan Zhu

LTHE (UMR 5564 CNRS/IRD/Université de Grenoble)
Meteorological Research Branch
University of Edinburgh
University of Michigan, Ann Arbor
Helmholtz-Zentrum Hereon GmbH
National Center for Atmospheric Research
University of California, Los Angeles
ENVEO - Environmental Earth Observation IT GmbH
Institute of Industrial Science
European Centre for Medium-Range Weather Forecasts
Helmholtz Centre for Polar and Marine Sciences
Humboldt-Universität zu Berlin
Université de Toulouse Météo-France
Nancy Université
Sun Yat-Sen University
Center for Snow and Avalanche Studies
Sorbonne Université
Faculdade de Ciências, Universidade de Lisboa
University of Saskatchewan
WSL Institute for Snow and Avalanche Research SLF
Service d'Aéronomie
Institute of Water Problems of the Russian Academy of Sciences
Commonwealth Scientific and Industrial Research Organization
Finnish Meteorological Institute
China Meteorological Administration
University of Innsbruck
USDA Agricultural Research Service
Japan Meteorological Agency
NOAA Earth System Research Laboratory
Institute of Meteorology and Climate Research
A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences
Max Planck Institute for Meteorology
Institute of Geography, Russian Academy of Sciences
Chinese Academy of Sciences
University of Colorado Boulder
ENAC-IIC-GEL
UVSQ

Research output: Contribution to journal › Article › peer-review

176 Citations (Scopus)

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).

Original language	English
Pages (from-to)	5027-5049
Number of pages	23
Journal	Geoscientific Model Development
Volume	11
Issue number	12
DOIs	https://doi.org/10.5194/gmd-11-5027-2018
Publication status	Published - 10 Dec 2018

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10.5194/gmd-11-5027-2018

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Krinner, G., Derksen, C., Essery, R., Flanner, M., Hagemann, S., Clark, M., Hall, A., Rott, H., Brutel-Vuilmet, C., Kim, H., Ménard, C. B., Mudryk, L., Thackeray, C., Wang, L., Arduini, G., Balsamo, G., Bartlett, P., Boike, J., Boone, A., ... Zhu, D. (2018). ESM-SnowMIP: Assessing snow models and quantifying snow-related climate feedbacks. Geoscientific Model Development, 11(12), 5027-5049. https://doi.org/10.5194/gmd-11-5027-2018

@article{52ec6743dd9a4e32b85281e2cabd6526,

title = "ESM-SnowMIP: Assessing snow models and quantifying snow-related climate feedbacks",

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).",

author = "Gerhard Krinner and Chris Derksen and Richard Essery and Mark Flanner and Stefan Hagemann and Martyn Clark and Alex Hall and Helmut Rott and Claire Brutel-Vuilmet and Hyungjun Kim and M{\'e}nard, \{C{\'e}cile B.\} and Lawrence Mudryk and Chad Thackeray and Libo Wang and Gabriele Arduini and Gianpaolo Balsamo and Paul Bartlett and Julia Boike and Aaron Boone and Fr{\'e}d{\'e}rique Ch{\'e}ruy and Jeanne Colin and Matthias Cuntz and Yongjiu Dai and Bertrand Decharme and Jeff Derry and Agn{\`e}s Ducharne and Emanuel Dutra and Xing Fang and Charles Fierz and Josephine Ghattas and Yeugeniy Gusev and Vanessa Haverd and Anna Kontu and Matthieu Lafaysse and Rachel Law and Dave Lawrence and Weiping Li and Thomas Marke and Danny Marks and Martin M{\'e}n{\'e}goz and Olga Nasonova and Tomoko Nitta and Masashi Niwano and John Pomeroy and Raleigh, \{Mark S.\} and Gerd Schaedler and Vladimir Semenov and Smirnova, \{Tanya G.\} and Tobias Stacke and Ulrich Strasser and Sean Svenson and Dmitry Turkov and Tao Wang and Nander Wever and Hua Yuan and Wenyan Zhou and Dan Zhu",

note = "Publisher Copyright: {\textcopyright} Author(s) 2018.",

year = "2018",

month = dec,

day = "10",

doi = "10.5194/gmd-11-5027-2018",

language = "English",

volume = "11",

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Krinner, G, Derksen, C, Essery, R, Flanner, M, Hagemann, S, Clark, M, Hall, A, Rott, H, Brutel-Vuilmet, C, Kim, H, Ménard, CB, Mudryk, L, Thackeray, C, Wang, L, Arduini, G, Balsamo, G, Bartlett, P, Boike, J, Boone, A, Chéruy, F, Colin, J, Cuntz, M, Dai, Y, Decharme, B, Derry, J, Ducharne, A, Dutra, E, Fang, X, Fierz, C, Ghattas, J, Gusev, Y, Haverd, V, Kontu, A, Lafaysse, M, Law, R, Lawrence, D, Li, W, Marke, T, Marks, D, Ménégoz, M, Nasonova, O, Nitta, T, Niwano, M, Pomeroy, J, Raleigh, MS, Schaedler, G, Semenov, V, Smirnova, TG, Stacke, T, Strasser, U, Svenson, S, Turkov, D, Wang, T, Wever, N, Yuan, H, Zhou, W & Zhu, D 2018, 'ESM-SnowMIP: Assessing snow models and quantifying snow-related climate feedbacks', Geoscientific Model Development, vol. 11, no. 12, pp. 5027-5049. https://doi.org/10.5194/gmd-11-5027-2018

TY - JOUR

T1 - ESM-SnowMIP

T2 - Assessing snow models and quantifying snow-related climate feedbacks

AU - Krinner, Gerhard

AU - Derksen, Chris

AU - Essery, Richard

AU - Flanner, Mark

AU - Hagemann, Stefan

AU - Clark, Martyn

AU - Hall, Alex

AU - Rott, Helmut

AU - Brutel-Vuilmet, Claire

AU - Kim, Hyungjun

AU - Ménard, Cécile B.

AU - Mudryk, Lawrence

AU - Thackeray, Chad

AU - Wang, Libo

AU - Arduini, Gabriele

AU - Balsamo, Gianpaolo

AU - Bartlett, Paul

AU - Boike, Julia

AU - Boone, Aaron

AU - Chéruy, Frédérique

AU - Colin, Jeanne

AU - Cuntz, Matthias

AU - Dai, Yongjiu

AU - Decharme, Bertrand

AU - Derry, Jeff

AU - Ducharne, Agnès

AU - Dutra, Emanuel

AU - Fang, Xing

AU - Fierz, Charles

AU - Ghattas, Josephine

AU - Gusev, Yeugeniy

AU - Haverd, Vanessa

AU - Kontu, Anna

AU - Lafaysse, Matthieu

AU - Law, Rachel

AU - Lawrence, Dave

AU - Li, Weiping

AU - Marke, Thomas

AU - Marks, Danny

AU - Ménégoz, Martin

AU - Nasonova, Olga

AU - Nitta, Tomoko

AU - Niwano, Masashi

AU - Pomeroy, John

AU - Raleigh, Mark S.

AU - Schaedler, Gerd

AU - Semenov, Vladimir

AU - Smirnova, Tanya G.

AU - Stacke, Tobias

AU - Strasser, Ulrich

AU - Svenson, Sean

AU - Turkov, Dmitry

AU - Wang, Tao

AU - Wever, Nander

AU - Yuan, Hua

AU - Zhou, Wenyan

AU - Zhu, Dan

PY - 2018/12/10

Y1 - 2018/12/10

N2 - 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).

AB - 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).

U2 - 10.5194/gmd-11-5027-2018

DO - 10.5194/gmd-11-5027-2018

M3 - Article

AN - SCOPUS:85058438078

SN - 1991-959X

VL - 11

SP - 5027

EP - 5049

JO - Geoscientific Model Development

JF - Geoscientific Model Development

IS - 12

ER -

ESM-SnowMIP: Assessing snow models and quantifying snow-related climate feedbacks

Abstract

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