WebApr 1, 2003 · April 2002. The Second Global Soil Wetness Project (GSWP2) is a land-surface modeling activity of the Global Land-Atmosphere System Study (GLASS) and the International Satellite Land-Surface ... WebGSWP - Global Soil Wetness Project. 2. Inter-Comparison. Comparison of LSPs. Implications for Model Development. Table 2. Simulated 2 years (1987-1988) global mean land surface water and energy balance. Units are mm y -1 for the moisture terms, W m -2 for energy, dimensionless for the Bowen Ratio. Group.
DIAS Dataset Search and Discovery - diasjp.net
WebSecond Global Soil Wetness Project (GSWP-2) Kickoff Workshop 30 Sep - 1 Oct 2002 Calverton, Maryland, USA Paul Dirmeyer1, Taikan Oki2, and Xiang Gao1 The Center for Ocean-Land-Atmosphere Studies ... WebThe dataset contains a gridded global reconstruction of monthly runoff timeseries. In-situ streamflow observations from the GSIM dataset are used to train a machine learning algorithm that predicts monthly runoff rates based on antecedent precipitation and temperature from the Global Soil Wetness Project Phase 3 (GSWP3) meteorological … chris singhal
GSWP - Global Soil Wetness Project - George Mason University
Webto 2008 of 65633103km3 per year, with the spatial distribution shown in Fig. 1a. This estimate is consistent with the value reported in ref. 5 (65.53103km3 per year), and falls within the model range (583103–853103km3 per year) estimated by the Global Soil Wetness Project 2 (GSWP-2; ref. 9). The validity of our data-driven WebThe Global Soil Wetness Project (GSWP) was created to address this issue. 1.1 Motivation. Soil wetness is important for climate studies. Among atmospheric boundary conditions, it is second only to sea surface temperature in its impact on climate (U.S. National Research Council 1994). It is often the most important boundary condition over … WebFour global atmospheric forcing datasets are chosen to drive the simulations in China, including GSWP3 (Global Soil Wetness Project Phase 3), PGF (Princeton Global me-teorological Forcing), CRU-NCEP (Climatic Research Unit-National Center for Environmental Prediction), and WFDEI (WATCH Forcing Data methodology applied to … chris singer of 1993\u0027s julia