Articles | Volume 11, issue 12
https://doi.org/10.5194/gmd-11-5027-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-5027-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model experiment description paper
| Highlight paper
| 
10 Dec 2018
Model experiment description paper | Highlight paper |
| 10 Dec 2018
ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks
CNRS, Université Grenoble Alpes, Institut de Géosciences de l'Environnement (IGE), 38000 Grenoble, France
Chris Derksen
Climate Research Division, Environment and Climate Change, Toronto, Canada
Richard Essery
School of GeoSciences, University of Edinburgh, Edinburgh EH9 3FF, UK
Mark Flanner
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor Michigan 48109, USA
Stefan Hagemann
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany
Martyn Clark
Hydrometeorological Applications Program, Research Applications Laboratory, National Center for Atmospheric Research, Boulder, USA
Alex Hall
Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, California
Helmut Rott
ENVEO – Environmental Earth Observation IT GmbH, Innsbruck , Austria
Claire Brutel-Vuilmet
CNRS, Université Grenoble Alpes, Institut de Géosciences de l'Environnement (IGE), 38000 Grenoble, France
Hyungjun Kim
Institute of Industrial Science, the University of Tokyo, Tokyo, Japan
Cécile B. Ménard
School of GeoSciences, University of Edinburgh, Edinburgh EH9 3FF, UK
Lawrence Mudryk
Climate Research Division, Environment and Climate Change, Toronto, Canada
Chad Thackeray
Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, California
Libo Wang
Climate Research Division, Environment and Climate Change, Toronto, Canada
Gabriele Arduini
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Gianpaolo Balsamo
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Paul Bartlett
Climate Research Division, Environment and Climate Change, Toronto, Canada
Julia Boike
Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany
Department of Geography, Humboldt University of Berlin, Berlin, Germany
Aaron Boone
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Frédérique Chéruy
LMD-IPSL, Centre National de la Recherche Scientifique, Université Pierre et Marie-Curie, Ecole Normale Supérieure, Ecole
Polytechnique, Paris, France
Jeanne Colin
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Matthias Cuntz
INRA, Université de Lorraine, AgroParisTech, UMR Silva, 54000 Nancy, France
Yongjiu Dai
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China
Bertrand Decharme
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Jeff Derry
Center for Snow and Avalanche Studies, Siverton, CO, USA
Agnès Ducharne
Sorbonne Universités, UMR 7619 METIS, UPMC/CNRS/EPHE, Paris, France
Emanuel Dutra
Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
Xing Fang
Centre for Hydrology, University of Saskatchewan, Saskatoon, Canada
Charles Fierz
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Josephine Ghattas
Institut Pierre Simon Laplace (IPSL), UPMC, 75252 Paris, France
Yeugeniy Gusev
Institute of Water Problems, Russian Academy of Sciences, Moscow, Russia
Vanessa Haverd
CSIRO Oceans and Atmosphere, Canberra, ACT, Australia
Anna Kontu
Space and Earth Observation Centre, Finnish Meteorological Institute, 99600 Sodankylä, Finland
Matthieu Lafaysse
Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, Centre d'Etudes de la Neige, Grenoble, France
Rachel Law
CSIRO Oceans and Atmosphere, Aspendale, Victoria, Australia
Dave Lawrence
National Center for Atmospheric Research, Boulder, CO, USA
Weiping Li
National Climate Center, China Meteorological Administration, Beijing, China
Thomas Marke
Department of Geography, University of Innsbruck, Innsbruck, Austria
Danny Marks
USDA Agricultural Research Service, Boise, ID, USA
Martin Ménégoz
CNRS, Université Grenoble Alpes, Institut de Géosciences de l'Environnement (IGE), 38000 Grenoble, France
Olga Nasonova
Institute of Water Problems, Russian Academy of Sciences, Moscow, Russia
Tomoko Nitta
Institute of Industrial Science, the University of Tokyo, Tokyo, Japan
Masashi Niwano
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
John Pomeroy
Centre for Hydrology, University of Saskatchewan, Saskatoon, Canada
Mark S. Raleigh
Cooperative Institute for Research in Environmental Science/Earth
System Research Laboratory, NOAA, Boulder, CO, USA
Gerd Schaedler
Institute of Meteorology and Climate Research, Karlsruhe Institute
of Technology, Karlsruhe, Germany
Vladimir Semenov
A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of
Sciences, Moscow, Russia
Tanya G. Smirnova
Cooperative Institute for Research in Environmental Science/Earth
System Research Laboratory, NOAA, Boulder, CO, USA
Tobias Stacke
Max-Planck-Institut für Meteorologie, Hamburg, Germany
Ulrich Strasser
Department of Geography, University of Innsbruck, Innsbruck, Austria
Sean Svenson
A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of
Sciences, Moscow, Russia
Dmitry Turkov
Institute of Geography, Russian Academy of Sciences, Moscow, Russia
Tao Wang
Key Laboratory of Alpine Ecology and Biodiversity, Institute of
Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
Nander Wever
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Department of Atmospheric and Oceanic Sciences, University of
Colorado, Boulder, Colorado, USA
Laboratory of Cryospheric Sciences, School of Architecture and
Civil Engineering, Ecole Polytechnique Fédérale de Lausanne,
Lausanne, Switzerland
Hua Yuan
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China
Wenyan Zhou
National Climate Center, China Meteorological Administration, Beijing, China
Laboratoire des Sciences du Climat et de l'Environnement, CEA,
CNRS, UVSQ, Gif Sur Yvette, France
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57 citations as recorded by crossref.
- Modeling spatially distributed snow instability at a regional scale using Alpine3D B. Richter et al. 10.1017/jog.2021.61
- ECLand: The ECMWF Land Surface Modelling System S. Boussetta et al. 10.3390/atmos12060723
- Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS A. Pongracz et al. 10.5194/bg-18-5767-2021
- More Realistic Intermediate Depth Dry Firn Densification in the Energy Exascale Earth System Model (E3SM) A. Schneider et al. 10.1029/2021MS002542
- ERA5-Land: a state-of-the-art global reanalysis dataset for land applications J. Muñoz-Sabater et al. 10.5194/essd-13-4349-2021
- Snow processes in mountain forests: interception modeling for coarse-scale applications N. Helbig et al. 10.5194/hess-24-2545-2020
- Variability of snow cover characteristics in the southern Rostov region (on the example of the Gigant settlement) O. Nazarenko 10.1088/1755-1315/817/1/012074
- ATTRICI v1.1 – counterfactual climate for impact attribution M. Mengel et al. 10.5194/gmd-14-5269-2021
- Evaluation of Remote Sensing and Reanalysis Snow Depth Datasets over the Northern Hemisphere during 1980–2016 L. Xiao et al. 10.3390/rs12193253
- Global Simulation of Snow Algal Blooming by Coupling a Land Surface and Newly Developed Snow Algae Models Y. Onuma et al. 10.1029/2021JG006339
- Evaluating a prediction system for snow management P. Ebner et al. 10.5194/tc-15-3949-2021
- Climate controls on snow reliability in French Alps ski resorts P. Spandre et al. 10.1038/s41598-019-44068-8
- Toward Snow Cover Estimation in Mountainous Areas Using Modern Data Assimilation Methods: A Review C. Largeron et al. 10.3389/feart.2020.00325
- Quantification of the radiative impact of light-absorbing particles during two contrasted snow seasons at Col du Lautaret (2058 m a.s.l., French Alps) F. Tuzet et al. 10.5194/tc-14-4553-2020
- Elements of future snowpack modeling – Part 2: A modular and extendable Eulerian–Lagrangian numerical scheme for coupled transport, phase changes and settling processes A. Simson et al. 10.5194/tc-15-5423-2021
- The RHOSSA campaign: multi-resolution monitoring of the seasonal evolution of the structure and mechanical stability of an alpine snowpack N. Calonne et al. 10.5194/tc-14-1829-2020
- Meteorological and evaluation datasets for snow modelling at 10 reference sites: description of in situ and bias-corrected reanalysis data C. Ménard et al. 10.5194/essd-11-865-2019
- Sensitivity of snow models to the accuracy of meteorological forcings in mountain environments S. Terzago et al. 10.5194/hess-24-4061-2020
- Increasing the Depth of a Land Surface Model. Part I: Impacts on the Subsurface Thermal Regime and Energy Storage 10.1175/JHM-D-21-0024.1
- Quantifying Relative Contributions of Light‐Absorbing Particles From Domestic and Foreign Sources on Snow Melt at Sapporo, Japan During the 2011–2012 Winter M. Niwano et al. 10.1029/2021GL093940
- Multi-physics ensemble snow modelling in the western Himalaya D. Pritchard et al. 10.5194/tc-14-1225-2020
- Data Assimilation Improves Estimates of Climate-Sensitive Seasonal Snow M. Girotto et al. 10.1007/s40641-020-00159-7
- Non-stationary extreme value analysis of ground snow loads in the French Alps: a comparison with building standards E. Le Roux et al. 10.5194/nhess-20-2961-2020
- Pan-European meteorological and snow indicators of climate change impact on ski tourism S. Morin et al. 10.1016/j.cliser.2021.100215
- Snow model comparison to simulate snow depth evolution and sublimation at point scale in the semi-arid Andes of Chile A. Voordendag et al. 10.5194/tc-15-4241-2021
- A low-to-no snow future and its impacts on water resources in the western United States E. Siirila-Woodburn et al. 10.1038/s43017-021-00219-y
- Snow cover duration trends observed at sites and predicted by multiple models R. Essery et al. 10.5194/tc-14-4687-2020
- Climatic assessment of circum-Arctic permafrost zonation over the last 122 kyr K. Saito et al. 10.1016/j.polar.2021.100765
- Uncertainties in Snowpack Simulations—Assessing the Impact of Model Structure, Parameter Choice, and Forcing Data Error on Point‐Scale Energy Balance Snow Model Performance D. Günther et al. 10.1029/2018WR023403
- Impact of a Multi‐Layer Snow Scheme on Near‐Surface Weather Forecasts G. Arduini et al. 10.1029/2019MS001725
- Observing and Modeling Ice Sheet Surface Mass Balance J. Lenaerts et al. 10.1029/2018RG000622
- Snow and Climate: Feedbacks, Drivers, and Indices of Change C. Thackeray et al. 10.1007/s40641-019-00143-w
- Single‐Column Validation of a Snow Subgrid Parameterization in the Rapid Update Cycle Land‐Surface Model (RUC LSM) S. He et al. 10.1029/2021WR029955
- Snow Depth Trends from CMIP6 Models Conflict with Observational Evidence X. Zhong et al. 10.1175/JCLI-D-21-0177.1
- Open database of snow-measuring observations in the south of Western Siberia (2011-2021) and its comparison with data from stationary meteorological observations and satellite monitoring D. Pershin et al. 10.7256/2453-8922.2021.3.36262
- Secondary ice production processes in wintertime alpine mixed-phase clouds P. Georgakaki et al. 10.5194/acp-22-1965-2022
- Scientific and Human Errors in a Snow Model Intercomparison C. Menard et al. 10.1175/BAMS-D-19-0329.1
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- Historical Northern Hemisphere snow cover trends and projected changes in the CMIP6 multi-model ensemble L. Mudryk et al. 10.5194/tc-14-2495-2020
- COSIPY v1.3 – an open-source coupled snowpack and ice surface energy and mass balance model T. Sauter et al. 10.5194/gmd-13-5645-2020
- Scenario Projections of Changes in Snow Water Equivalent Due to Possible Climate Changes in Different Regions of the Earth E. Gusev et al. 10.1134/S0097807821010176
- Towards the assimilation of satellite reflectance into semi-distributed ensemble snowpack simulations B. Cluzet et al. 10.1016/j.coldregions.2019.102918
- Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development 10.1175/JHM-D-21-0071.1
- Surface albedo and reflectance: Review of definitions, angular and spectral effects, and intercomparison of major data sources in support of advanced solar irradiance modeling over the Americas C. Gueymard et al. 10.1016/j.solener.2019.02.040
- Evaluation of long-term Northern Hemisphere snow water equivalent products C. Mortimer et al. 10.5194/tc-14-1579-2020
- ‘Teflon Basin’ or Not? A High-Elevation Catchment Transit Time Modeling Approach J. Schmieder et al. 10.3390/hydrology6040092
- Statistical post-processing of ensemble forecasts of the height of new snow J. Nousu et al. 10.5194/npg-26-339-2019
- Application of physical snowpack models in support of operational avalanche hazard forecasting: A status report on current implementations and prospects for the future S. Morin et al. 10.1016/j.coldregions.2019.102910
- ISBA-MEB (SURFEX v8.1): model snow evaluation for local-scale forest sites A. Napoly et al. 10.5194/gmd-13-6523-2020
- Snowfall Fraction, Cold Content, and Energy Balance Changes Drive Differential Response to Simulated Warming in an Alpine and Subalpine Snowpack K. Jennings & N. Molotch 10.3389/feart.2020.00186
- Pattern-based downscaling of snowpack variability in the western United States N. Gauthier et al. 10.1007/s00382-021-06094-z
- Simulated single-layer forest canopies delay Northern Hemisphere snowmelt M. Todt et al. 10.5194/tc-13-3077-2019
- Forcing and evaluating detailed snow cover models with stratigraphy observations L. Viallon-Galinier et al. 10.1016/j.coldregions.2020.103163
- Evaluation of snow cover and snow water equivalent in the continental Arctic in CMIP5 models M. Santolaria-Otín & O. Zolina 10.1007/s00382-020-05434-9
- Diagnosing the Impacts of Northern Hemisphere Surface Albedo Biases on Simulated Climate C. Thackeray et al. 10.1175/JCLI-D-18-0083.1
- Including Parameter Uncertainty in an Intercomparison of Physically-Based Snow Models D. Günther et al. 10.3389/feart.2020.542599
- Meteorological, snow and soil data (2013–2019) from a herb tundra permafrost site at Bylot Island, Canadian high Arctic, for driving and testing snow and land surface models F. Domine et al. 10.5194/essd-13-4331-2021
3 citations as recorded by crossref.
- 57 years (1960–2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m of altitude) Y. Lejeune et al. 10.5194/essd-11-71-2019
- Legacy, Rather Than Adequacy, Drives the Selection of Hydrological Models N. Addor & L. Melsen 10.1029/2018WR022958
- Simulating of snow cover formation by the model of interaction between the land surface and the atmosphere (SWAP) E. Gusev & O. Nasonova 10.15356/2076-6734-2019-2-401
Discussed (final revised paper)
Latest update: 27 Mar 2023
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...
