Hydroclimatic Analysis of 25 Years of Output from the Global Land Data Assimilation System
Matthew Rodell, NASA/GSFC, Greenbelt, MD; and M. Stepp and H. Kato
The Global Land Data Assimilation System (GLDAS) ingests satellite- and ground-based observational data products, using advanced land surface modeling and data assimilation techniques, in order to generate optimal fields of hydrological land surface states (e.g., soil moisture and snow) and fluxes (e.g., evaporation). Twenty-five year simulations have recently been completed with three of the land surface models that GLDAS drives. A hydroclimatic analysis of these simulations will be presented, along with an assessment of the quality and consistency of the simulations. Preliminary results indicate that the output fields may be valuable for identifying trends and teleconnections in the global water cycle. .
Session 1, Global water and energy cycle observations, models, and analyses
Tuesday, 31 January 2006, 1:45 PM-5:15 PM, A403
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