THE GLOBAL LAND DATA ASSIMILATION SYSTEM

@article{Rodell2004THEGL,
  title={THE GLOBAL LAND DATA ASSIMILATION SYSTEM},
  author={Mathew Rodell and Paul R. Houser and Urszula Jambor and Jon Gottschalck and Kenneth E. Mitchell and Chi-Jan Meng and Kristi R. Arsenault and Brian Cosgrove and Jon D. Radakovich and Michael G. Bosilovich and Jared K. Entin and Jeffrey P. Walker and Dag Lohmann and David Toll},
  journal={Bulletin of the American Meteorological Society},
  year={2004},
  volume={85},
  pages={381-394}
}
  • M. RodellP. Houser D. Toll
  • Published 1 March 2004
  • Environmental Science
  • Bulletin of the American Meteorological Society
A Global Land Data Assimilation System (GLDAS) has been developed. Its purpose is to ingest satellite- and ground-based observational data products, using advanced land surface modeling and data assimilation techniques, in order to generate optimal fields of land surface states and fluxes. GLDAS is unique in that it is an uncoupled land surface modeling system that drives multiple models, integrates a huge quantity of observation-based data, runs globally at high resolution (0.25°), and… 

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