Quantifying Precipitation Uncertainty for Land Data Assimilation Applications

Ensemble-based data assimilation techniques are often applied to land surface models in order to estimate components of terrestrial water and energy balance. Precipitation forcing uncertainty is the principal source of spread among the ensembles that is required for utilizing information in observat...

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Bibliographic Details
Main Authors: Entekhabi, Dara (Contributor), Alemohammad, Hamed (Contributor), McLaughlin, Dennis (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering (Contributor)
Format: Article
Language:English
Published: American Meteorological Society, 2016-03-02T02:19:24Z.
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