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ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks
Krinner, G (Krinner, Gerhard)1; Derksen, C (Derksen, Chris)2; Essery, R (Essery, Richard)3; Flanner, M (Flanner, Mark)4; Hagemann, S (Hagemann, Stefan)5; Clark, M (Clark, Martyn)6; Hall, A (Hall, Alex)7; Rott, H (Rott, Helmut)8; Brutel-Vuilmet, C (Brutel-Vuilmet, Claire)1; Kim, H (Kim, Hyungjun)9; Menard, CB (Menard, Cecile B.)3; Mudryk, L (Mudryk, Lawrence)2; Thackeray, C (Thackeray, Chad)7; Wang, LB (Wang, Libo)2; Arduini, G (Arduini, Gabriele)10; Balsamo, G (Balsamo, Gianpaolo)10; Bartlett, P (Bartlett, Paul)2; Boike, J (Boike, Julia)11,12; Boone, A (Boone, Aaron)13; Cheruy, F (Cheruy, Frederique)14; Colin, J (Colin, Jeanne)13; Cuntz, M (Cuntz, Matthias)15; Dai, Y (Dai, Yongjiu)16; Decharme, B (Decharme, Bertrand)13; Derry, J (Derry, Jeff)17; Ducharne, A (Ducharne, Agnes)18; Dutra, E (Dutra, Emanuel)19; Fang, X (Fang, Xing)20; Fierz, C (Fierz, Charles)21; Ghattas, J (Ghattas, Josephine)22; Gusev, Y (Gusev, Yeugeniy)23; Haverd, V (Haverd, Vanessa)24; Kontu, A (Kontu, Anna)25; Lafaysse, M (Lafaysse, Matthieu)26; Law, R (Law, Rachel)27; Lawrence, D (Lawrence, Dave)28; Li, W (Li, Weiping)29; Marke, T (Marke, Thomas)30; Marks, D (Marks, Danny)31; Menegoz, M (Menegoz, Martin)1; Nasonova, O (Nasonova, Olga)23; Nitta, T (Nitta, Tomoko)9; Niwano, M (Niwano, Masashi)32; Pomeroy, J (Pomeroy, John)20; Raleigh, MS (Raleigh, Mark S.)33; Schaedler, G (Schaedler, Gerd)34; Semenov, V (Semenov, Vladimir)35; Smirnova, TG (Smirnova, Tanya G.)33; Stacke, T (Stacke, Tobias)36; Strasser, U (Strasser, Ulrich)30; Svenson, S (Svenson, Sean)35; Turkov, D (Turkov, Dmitry)37; Wang, T (Wang, Tao)38; Wever, N (Wever, Nander)21,39,40; Yuan, H (Yuan, Hua)16; Zhou, W (Zhou, Wenyan)29; Zhu, D (Zhu, Dan)41
Source PublicationGEOSCIENTIFIC MODEL DEVELOPMENT 
2018-12-10
Volume11Issue:12Pages:5027-5049
DOI10.5194/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).

Subject Area生态学
WOS IDWOS:000452662100001
Language英语
Indexed BySCIE
KeywordLand-surface Model Latitude Hydrological Processes Torne-kalix Basin Intercomparison Project Thermal-conductivity Arctic Amplification Sensitivity-analysis Water Equivalent Pilps Phase-2(e) Albedo Feedback
WOS Research AreaGeology
WOS SubjectGeosciences, Multidisciplinary
Cooperation Status国际
ISSN1991-959X
Department高寒生态重点实验室
PublisherCOPERNICUS GESELLSCHAFT MBH
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8478
Collection图书馆
Corresponding AuthorKrinner, G (Krinner, Gerhard)
Affiliation1.Univ Grenoble Alpes, CNRS, IGE, F-38000 Grenoble, France;
2.Climate Res Div Environm & Climate Change, Toronto, ON, Canada;
3.Univ Edinburgh, Sch Geosci, Edinburgh EH9 3FF, Midlothian, Scotland;
4.Univ Michigan, Dept Climate & Space Sci & Engn, Ann Arbor, MI 48107 USA;
5.Helmholtz Zentrum Geesthacht, Inst Coastal Res, Geesthacht, Germany;
6.Natl Ctr Atmospher Res, Res Applicat Lab, Hydrometeorol Applicat Program, POB 3000, Boulder, CO 80307 USA;
7.Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA USA;
8.ENVEO Environm Earth Observat IT GmbH, Innsbruck, Austria;
9.Univ Tokyo, Inst Ind Sci, Tokyo, Japan;
10.European Ctr Medium Range Weather Forecasts ECMWF, Reading, Berks, England;
11.Helmholtz Ctr Polar & Marine Res, Wegener Inst, Potsdam, Germany;
12.Humboldt Univ, Dept Geog, Berlin, Germany;
13.Univ Toulouse, Meteo France, CNRS, CNRM, Toulouse, France;
14.Univ Paris 06, Ecole Normale Super, Ecole Polytech, LMD,IPSL,Ctr Natl Rech Sci, Paris, France;
15.Univ Lorraine, AgroParisTech, UMR Silva, INRA, F-54000 Nancy, France;
16.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China;
17.Ctr Snow & Avalanche Studies, Siverton, CO USA;
18.Sorbonne Univ, UPMC, CNRS, UMR 7619,METIS,EPHE, Paris, France;
19.Univ Lisbon, Fac Ciencias, Inst Dom Luiz, Lisbon, Portugal;
20.Univ Saskatchewan, Ctr Hydrol, Saskatoon, SK, Canada;
21.WSL Inst Snow & Avalanche Res SLF, Davos, Switzerland;
22.UPMC, IPSL, F-75252 Paris, France;
23.Russian Acad Sci, Inst Water Problems, Moscow, Russia;
24.CSIRO Oceans & Atmosphere, Canberra, ACT, Australia;
25.Finnish Meteorol Inst, Space & Earth Observat Ctr, Sodankyla 99600, Finland;
26.Univ Toulouse, Meteo France, Grenoble Alpes, CNRS,CNRM,Ctr Etudes Neige Grenoble, Grenoble, France;
27.CSIRO Oceans & Atmosphere, Aspendale, Vic, Australia;
28.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA;
29.China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China;
30.Univ Innsbruck, Dept Geog, Innsbruck, Austria;
31.USDA ARS, Boise, ID 83712 USA;
32.Japan Meteorol Agcy, Meteorol Res Inst, Tsukuba, Ibaraki, Japan;
33.NOAA, Cooperat Inst Res Environm Sci, Earth Syst Res Lab, Boulder, CO USA;
34.Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Karlsruhe, Germany;
35.Russian Acad Sci, AM Obukhov Inst Atmospher Phys, Moscow, Russia;
36.Max Planck Inst Meteorol, Hamburg, Germany;
37.Russian Acad Sci, Inst Geog, Moscow, Russia;
38.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing, Peoples R China;
39.Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA;
40.Ecole Polytech Fed Lausanne, Sch Architecture & Civil Engn, Lab Cryospher Sci, Lausanne, Switzerland;
41.UVSQ, CNRS, CEA, Lab Sci Climat & Environm, Gif Sur Yvette, France.
Recommended Citation
GB/T 7714
Krinner, G ,Derksen, C ,Essery, R ,et al. ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks[J]. GEOSCIENTIFIC MODEL DEVELOPMENT ,2018,11(12):5027-5049.
APA Krinner, G .,Derksen, C .,Essery, R .,Flanner, M .,Hagemann, S .,...&Zhu, D .(2018).ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks.GEOSCIENTIFIC MODEL DEVELOPMENT ,11(12),5027-5049.
MLA Krinner, G ,et al."ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks".GEOSCIENTIFIC MODEL DEVELOPMENT  11.12(2018):5027-5049.
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