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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References

SHOWING 1-10 OF 57 REFERENCES

Results from Global Land-Surface Data Assimilation Methods

Realistic representation of the land surface is crucial in global climate modeling (GCM). Recently, the Mosaic land-surface Model (LSM) has been driven off-line using GEOS DAS (Goddard Earth…

Real‐time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project

[1] The accuracy of forcing data greatly impacts the ability of land surface models (LSMs) to produce realistic simulations of land surface processes. With this in mind, the multi-institutional North…

A methodology for initializing soil moisture in a global climate model: Assimilation of near‐surface soil moisture observations

Because of its long-term persistence, accurate initialization of land surface soil moisture in fully coupled global climate models has the potential to greatly increase the accuracy of climatological…

IMPACT OF REMOTELY SENSED LEAF AREA INDEX ON A GLOBAL LAND DATA ASSIMILATION SYSTEM

The parameterization of vegetation in land surface models plays a major role in the simulation of the surface energy balance and therefore weather and climate prediction. Historically, parameters in…

Impact of bias correction to reanalysis products on simulations of North American soil moisture and hydrological fluxes

Simulating land surface hydrological states and fluxes requires a comprehensive set of atmospheric forcing data at consistent temporal and spatial scales. At the continental-to-global scale, such…

The Land Surface Climatology of the NCAR Land Surface Model Coupled to the NCAR Community Climate Model

Abstract The National Center for Atmospheric Research (NCAR) Land Surface Model (LSM, version 1.0) provides a comprehensive treatment of land surface processes for the NCAR Community Climate Model…

Analysis of TRMM 3-Hourly Multi-Satellite Precipitation Estimates Computed in Both Real and Post-Real Time

Satellite data form the core of the information available for estimating precipitation on a global basis. While it is possible to create such estimates solely from one sensor, researchers have…

A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology

Abstract Natural land surfaces are usually heterogeneous over the resolvable scales considered in atmospheric numerical models. Therefore, model surface parameterizations that assume surface…

Assessment of the Land Surface and Boundary Layer Models in Two Operational Versions of the NCEP Eta Model Using FIFE Data

Abstract Data from the 1987 summer FIFE experiment for four pairs of days are compared with corresponding 48-h forecasts from two different versions of the Eta Model, both initialized from the…

The New Global Operational Analysis System at the National Meteorological Center

Abstract At the National Meteorological Center (NMC), a new analysis system was implemented into the operational Global Data Assimilation System on 25 June 1991. This analysis system is referred to…
...