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Forcing a Global, Offline Land Surface Modeling System with Observation-Based FieldsThe Global Land Data Assimilation System (GLDAS) drives multiple uncoupled land surface models in order to produce optimal output fields of surface states in near-real time, globally, at 1/4 degree spatial resolution. These fields are then made available for coupled atmospheric model initialization and further research. One of the unique aspects of GLDAS is its ability to ingest both modeled and observation-derived forcing for running global scale land surface models. This paper compares results of runs forced by modeled and observed precipitation and shortwave radiation fields. Differences are examined and the impact of the observations on model skill is assessed.
Document ID
20020061307
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Rodell, Matthew
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Houser, Paul R.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Jambor, U.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Gottschalck, J.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Radakovich, J.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Arsenault, K.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Meng, C.-J.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Mitchell, K. E.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
August 20, 2013
Publication Date
January 1, 2002
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: American Meterological Society Meeting
Location: Orlando, FL
Country: United States
Start Date: January 13, 2002
End Date: January 17, 2002
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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