Location: Northwest Watershed Research Center
Title: ESM-SnowMIP: Assessing models and quantifying snow-related climate feedbacksAuthor
KRINNER, GERHARD - National Council For Scientific Research-Cnrs | |
DERKSEN, CHRIS - University Of Toronto | |
ESSERY, RICHARD - University Of Edinburgh | |
FLANNER, MARK - University Of Michigan | |
HAGEMANN, STEFAN - Helmholtz Centre For Environmental Research | |
CLARK, MARTYN - National Center For Atmospheric Research (NCAR) | |
HALL, ALEX - National Center For Atmospheric Research (NCAR) | |
ROTT, HELMUT - Austrian Institute Of Technology (AIT) | |
BRUTEL-VUILMET, CLAIRE - National Council For Scientific Research-Cnrs | |
KIM, HYUNGJUN - Austrian Institute Of Technology (AIT) | |
MENARD, CECILE - University Of Edinburgh | |
MUDRYK, LAWRENCE - University Of Toronto | |
THACKERAY, CHAD - National Center For Atmospheric Research (NCAR) | |
WANG, LIBO - University Of Toronto | |
ARDUINI, GABRIELE - University Of Reading | |
BALSAMO, GIANPAOLO - University Of Reading | |
BARTLETT, PAUL - University Of Toronto | |
BOIKE, JULIA - Helmholtz Centre | |
BOONE, AARON - Centre National De La Recherche Scientifique | |
CHERUY, FREDERIQUE - Centre National De La Recherche Scientifique | |
COLIN, JEANNE - Centre National De La Recherche Scientifique | |
CUNTZ, MATTHIAS - Inland Northwest Research Alliance, Inra | |
DAI, YONGJIU - Sun Yat-Sen University | |
DECHARME, BETRAND - Centre National De La Recherche Scientifique | |
DERRY, JEFF - National Center For Atmospheric Research (NCAR) | |
DUCHARNE, AGNES - Sorbonne Universities, Paris | |
DUTRA, EMANUEL - Universidade Nova De Lisboa | |
FANG, XING - Centre For Ecology & Hydrology | |
FIERZ, CHARLES - Swiss Federal Research Institute Wsl | |
GHATTAS, JOSEPHINE - Institut Pasteur - France | |
GUSEV, YEUGENIY - Russian Academy Of Sciences | |
HAVERD, VANESSA - Commonwealth Scientific And Industrial Research Organisation (CSIRO) | |
KONTU, ANNA - Finnish Meteorological Institute | |
LAFAYSSE, MATTHIEU - National Council For Scientific Research-Cnrs | |
LAW, RACHEL - Commonwealth Scientific And Industrial Research Organisation (CSIRO) | |
LAWRENCE, DAVE - National Center For Atmospheric Research (NCAR) | |
LI, WEIPING - Chinese Academy Of Sciences | |
MARKE, THOMAS - University Of Innsbruck | |
Marks, Daniel |
Submitted to: Geoscientific Model Development
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 11/19/2018 Publication Date: 12/10/2018 Citation: Krinner, G., Derksen, C., Essery, R., Flanner, M., Hagemann, S., Clark, M., Hall, A., Rott, H., Brutel-Vuilmet, C., Kim, H., Menard, C.B., Mudryk, L., Thackeray, C., Wang, L., Arduini, G., Balsamo, G., Bartlett, P., Boike, J., Boone, A., Cheruy, 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. 2018. ESM-SnowMIP: Assessing models and quantifying snow-related climate feedbacks. Geoscientific Model Development. 11(12):5027-5049. https://doi.org/10.5194/gmd-11-5027-2018. DOI: https://doi.org/10.5194/gmd-11-5027-2018 Interpretive Summary: This paper describes ESM-SnowMIP, an international coordinated modelling effort to evaluate current snow schemes against local and global observations in a wide variety of settings, including snow schemes that are included in Earth System Models. The project aims at identifying crucial processes and snow characteristics that need to be improved in 15 snow models in the context of local- and global-scale modeling. A further objective of ESM-SnowMIP is to better quantify snow-related feedbacks in the Earth system. ESM-SnowMIP is tightly linked to the Land Surface, Snow and Soil Moisture Model Intercomparison Project, which in turn is part of the 6th phase of the Coupled Model Intercomparison Project (CMIP6). Technical Abstract: This paper describes ESM-SnowMIP, an international coordinated modelling effort to evaluate current snow schemes against local and global observations in a wide variety of settings, including snow schemes that are included in Earth System Models. The project aims at identifying crucial processes and snow characteristics that need to be improved in 15 snow models in the context of local- and global-scale modeling. A further objective of ESM-SnowMIP is to better quantify snow-related feedbacks in the Earth system. ESM-SnowMIP is tightly linked to the Land Surface, Snow and Soil Moisture Model Intercomparison Project, which in turn is part of the 6th phase of the Coupled Model Intercomparison Project (CMIP6). |