GSWP-2: Multimodel Analysis and Implications for Our Perception of the Land Surface

Dirmeyer, P.A. and Gao, X. and Zhao, M. and et al, . (2006) GSWP-2: Multimodel Analysis and Implications for Our Perception of the Land Surface. American Meteorological Society, 87 (10). pp. 1381-1397.

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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.

Item Type: Article
Uncontrolled Keywords: GSWP-2, Multimodel Analysis, Land Surface
Author Affiliation: Center for Ocean-Land-Atmosphere Studies, Calverton, Maryland
Subjects: Soil Science and Microbiology > Soil Sciences
Statistics and Experimentation
Divisions: General
Depositing User: Mr Arbind Seth
Date Deposited: 06 Jun 2013 11:53
Last Modified: 06 Jun 2013 11:53
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