Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Volume 9, issue 8 | Copyright

Special issue: Coupled Model Intercomparison Project Phase 6 (CMIP6) Experimental...

Geosci. Model Dev., 9, 2809-2832, 2016
https://doi.org/10.5194/gmd-9-2809-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model experiment description paper 24 Aug 2016

Model experiment description paper | 24 Aug 2016

LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome

Bart van den Hurk1, Hyungjun Kim2, Gerhard Krinner3, Sonia I. Seneviratne4, Chris Derksen5, Taikan Oki2, Hervé Douville6, Jeanne Colin6, Agnès Ducharne24, Frederique Cheruy7, Nicholas Viovy8, Michael J. Puma9, Yoshihide Wada10, Weiping Li11, Binghao Jia12, Andrea Alessandri13, Dave M. Lawrence14, Graham P. Weedon15, Richard Ellis16, Stefan Hagemann17, Jiafu Mao18, Mark G. Flanner19, Matteo Zampieri20, Stefano Materia20, Rachel M. Law21, and Justin Sheffield22,23 Bart van den Hurk et al.
  • 1KNMI, De Bilt, the Netherlands
  • 2Institute of Industrial Science, the University of Tokyo, Tokyo, Japan
  • 3LGGE, CNRS, Grenoble, France
  • 4Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
  • 5Climate Research Division, Environment and Climate Change, Toronto, Canada
  • 6CNRM, Centre National de Recherches Météorologiques, Météo-France, Toulouse, France
  • 7LMD-IPSL, Centre National de la Recherche Scientifique, Université Pierre et Marie-Curie, Ecole Normale Supérieure, Ecole Polytechnique, Paris, France
  • 8LSCE-IPSL: CEA-CNRS-UVSQ, Gif-sur-Yvette, France
  • 9NASA Goddard Institute for Space Studies and Center for Climate Systems Research, Columbia University, New York, USA
  • 10International Institute for Applied Systems Analysis, Laxenburg, Austria
  • 11Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing, China
  • 12State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
  • 13Agenzia Nazionale per le nuove Tecnologie, l'energia e lo sviluppo economico sostenibile, Rome, Italy
  • 14Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, USA
  • 15Met Office (JCHMR) Maclean Building Crowmarsh Gifford Wallingford, Oxfordshire, UK
  • 16Centre for Ecology and Hydrology, Maclean Building Crowmarsh Gifford Wallingford, Oxfordshire, UK
  • 17Max-Planck-Institut für Meteorologie, Hamburg, Germany
  • 18Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
  • 19Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, USA
  • 20Euro-Mediterranean Center for Climate Change (CMCC), Climate Simulation and Prediction Division, Bologna, Italy
  • 21CSIRO Oceans and Atmosphere, Aspendale, Australia
  • 22Department of Civil and Environmental Engineering Princeton University, Princeton, USA
  • 23Geography and Environment, University of Southampton, Southampton, UK
  • 24Sorbonne Universités, UMR 7619 METIS, UPMC/CNRS/EPHE, Paris, France

Abstract. The Land Surface, Snow and Soil Moisture Model Intercomparison Project (LS3MIP) is designed to provide a comprehensive assessment of land surface, snow and soil moisture feedbacks on climate variability and climate change, and to diagnose systematic biases in the land modules of current Earth system models (ESMs). The solid and liquid water stored at the land surface has a large influence on the regional climate, its variability and predictability, including effects on the energy, water and carbon cycles. Notably, snow and soil moisture affect surface radiation and flux partitioning properties, moisture storage and land surface memory. They both strongly affect atmospheric conditions, in particular surface air temperature and precipitation, but also large-scale circulation patterns. However, models show divergent responses and representations of these feedbacks as well as systematic biases in the underlying processes. LS3MIP will provide the means to quantify the associated uncertainties and better constrain climate change projections, which is of particular interest for highly vulnerable regions (densely populated areas, agricultural regions, the Arctic, semi-arid and other sensitive terrestrial ecosystems).

The experiments are subdivided in two components, the first addressing systematic land biases in offline mode (“LMIP”, building upon the 3rd phase of Global Soil Wetness Project; GSWP3) and the second addressing land feedbacks attributed to soil moisture and snow in an integrated framework (“LFMIP”, building upon the GLACE-CMIP blueprint).

Please read the corrigendum first before accessing the article.
Publications Copernicus
Special issue
Download
Notice on corrigendum

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
This manuscript describes the setup of the CMIP6 project Land Surface, Snow and Soil Moisture Model Intercomparison Project (LS3MIP).
This manuscript describes the setup of the CMIP6 project Land Surface, Snow and Soil Moisture...
Citation
Share