The Second Global Soil Wetness Project (GSWP-2) is an initiative to compare and evaluate 10-year simulations by a broad range of land surface models under controlled conditions. A major product of GSWP-2 is the first global gridded multimodel analysis of land surface state variables and fluxes for use by meteorologists, hydrologists, engineers, biogeochemists, agronomists, botanists, ecologists, geographers, climatologists, and educators. Simulations by 13 land models from five nations have gone into production of the analysis. The models are driven by forcing data derived from a combination of gridded atmospheric reanalyses and observations. The resulting analysis consists of multimodel means and standard deviations on the monthly time scale, including profiles of soil moisture and temperature at six levels, as well as daily and climatological (mean annual cycle) fields for over 50 land surface variables. The monthly standard deviations provide a measure of model agreement that may be used as a quality metric. An overview of key characteristics of the analysis is presented here, along with information on obtaining the data.

This content is only available as a PDF.


Department of Hydrology and Geoenvironmental Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands

Météo-France, CNRM/GMME, Toulouse, France

Laboratoire d'Aérologie, Université Paul Sabatier, Toulouse, France

SAFIRE, CNRS-INSU, Météo-France, ONES, Toulouse, France

INRA, EPHYSE, Bordeaux, France

CNR IBIMET, Florence, Italy

CNR ISAFoM, Napels, Italy

Max Planck Institute for Biogeochemistry, Jena, Germany

Laboratoire des Sciences du Climat et de I'Environnement, Gif sur Yvette, France

METAIR, Hausen am Albis, Switzerland

Alterra, Wageningen, Netherlands

University of Bremen, Bremen, Germany

CEAM, Valencia, Spain

Institut für Energiewirtschaft und Rationelle Energieanwendung, University of Stuttgart, Stuttgart, Germany

CNES, Toulouse, France

CESBIO, Toulouse, France