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Discussion papers | Copyright
https://doi.org/10.5194/gmd-2018-153
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model experiment description paper 30 Jul 2018

Model experiment description paper | 30 Jul 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

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

Gerhard Krinner1, Chris Derksen2, Richard Essery3, Mark Flanner4, Stefan Hagemann5, Martyn Clark6, Alex Hall7, Helmut Rott8, Claire Brutel-Vuilmet1, Hyungjun Kim9, Cécile B. Ménard3, Lawrence Mudryk2, Chad Thackeray7, Libo Wang2, Gabriele Arduini10, Gianpaolo Balsamo10, Paul Bartlett2, Julia Boike11, Aaron Boone12, Frédérique Chéruy13, Jeanne Colin12, Matthias Cuntz14, Yongjiu Dai15, Bertrand Decharme12, Jeff Derry16, Agnès Ducharne17, Emanuel Dutra18, Xing Fang19, Charles Fierz20, Josephine Ghattas21, Yeugeniy Gusev22, Vanessa Haverd23, Anna Kontu24, Matthieu Lafaysse25, Rachel Law26, Dave Lawrence28, Weiping Li27, Thomas Marke29, Danny Marks30, Olga Nasonova22, Tomoko Nitta9, Masahi Niwano31, John Pomeroy19, Mark S. Raleigh32, Gerd Schaedler33, Vladimir Semenov34, Tanya Smirnova32, Tobias Stacke35, Ulrich Strasser29, Sean Svenson34, Dmitry Turkov36, Tao Wang37, Nander Wever20,38, Hua Yuan15, and Wenyan Zhou27 Gerhard Krinner et al.
  • 1CNRS, Université Grenoble Alpes, Institut de Géosciences de l’Environnement (IGE), 38000 Grenoble, France
  • 2Climate Research Division, Environment and Climate Change, Toronto, Canada
  • 33 School of GeoSciences, University of Edinburgh, Edinburgh EH9 3FF, UK
  • 4Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor Michigan 48109, USA
  • 5Helmholtz-Zentrum Geesthacht, Germany
  • 6Hydrometeorological Applications Program, Research Applications Laboratory, National Center for Atmospheric Research, Boulder, USA
  • 7Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, California
  • 8ENVEO - Environmental Earth Observation IT GmbH, Austria
  • 9Institute of Industrial Science, the University of Tokyo, Tokyo, Japan
  • 10European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
  • 11Alfred-Wegener-Institut für Polar-und Meeresforschung, Potsdam, Germany
  • 12Centre National de Recherches Météorologiques, Météo-France/CNRS, Toulouse, France
  • 13LMD-IPSL, Centre National de la Recherche Scientifique, Université Pierre et Marie-Curie, Ecole Normale Supérieure, Ecole Polytechnique, Paris, France
  • 14INRA, Université de Lorraine, AgroParisTech, UMR Silva, 54000 Nancy, France
  • 15School of Atmospheric Sciences, Sun Yat-sen University, China
  • 16Center for Snow and Avalanche Studies, USA
  • 17Sorbonne Universités, UMR 7619 METIS, UPMC/CNRS/EPHE, Paris, France
  • 18Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Portugal
  • 19Centre for Hydrology, University of Saskatchewan, Canada
  • 20WSL Institute for Snow and Avalanche Research SLF, Switzerland
  • 21Institut Pierre Simon Laplace (IPSL), UPMC, 75252 Paris, France
  • 22Institute of Water Problems, Russian Academy of Sciences
  • 23CSIRO Oceans and Atmosphere, Canberra, ACT, Australia
  • 24Space and Earth Observation Centre, Finnish Meteorological Institute, 99600 Sodankylä, Finland
  • 25Météo-France - CNRS, CNRM UMR3589, Centre d'Etudes de la Neige, Grenoble, France
  • 26CSIRO Oceans and Atmosphere, Aspendale, Victoria, Australia
  • 27National Climate Center, China Meteorological Administration
  • 28National Center for Atmospheric Research, USA
  • 29Department of Geography, University of Innsbruck, Austria
  • 30USDA Agricultural Research Service, USA
  • 31Meteorological Research Institute, Japan Meteorological Agency
  • 32Cooperative Institute for Research in Environmental Sciences, National Snow and Ice Data Center, USA
  • 33Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Germany
  • 34A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences
  • 35Max-Planck-Institut für Meteorologie, Hamburg, Germany
  • 36Institute of Geography, Russian Academy of Sciences
  • 37Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
  • 38Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, Colorado, USA

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 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).

Gerhard Krinner et al.
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Status: final response (author comments only)
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Gerhard Krinner et al.
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Short summary
This paper provides an overview of a coordinated international experiment to determine the strengths and weaknesses in how climate models treat snow. The models will be assessed at point locations using high quality reference measurements, and globally using satellite derived datasets. How well climate models simulate snow-related processes is important because changing snow cover is an important part of the global climate system, and provides an important freshwater resource for human use.
This paper provides an overview of a coordinated international experiment to determine the...
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