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    Simulating the Effects of Irrigation over the United States in a Land Surface Model Based on Satellite-Derived Agricultural Data 

    Source: Journal of Hydrometeorology:;2010:;Volume( 011 ):;issue: 001:;page 171
    Author(s): Ozdogan, Mutlu; Rodell, Matthew; Beaudoing, Hiroko Kato; Toll, David L.
    Publisher: American Meteorological Society
    Abstract: A novel method is introduced for integrating satellite-derived irrigation data and high-resolution crop-type information into a land surface model (LSM). The objective is to improve the simulation of land surface states ...
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    NCA-LDAS Land Analysis: Development and Performance of a Multisensor, Multivariate Land Data Assimilation System for the National Climate Assessment 

    Source: Journal of Hydrometeorology:;2018:;volume 020:;issue 008:;page 1571
    Author(s): Kumar, Sujay V.; Jasinski, Michael; Mocko, David M.; Rodell, Matthew; Borak, Jordan; Li, Bailing; Beaudoing, Hiroko Kato; Peters-Lidard, Christa D.
    Publisher: American Meteorological Society
    Abstract: AbstractThis article describes one of the first successful examples of multisensor, multivariate land data assimilation, encompassing a large suite of soil moisture, snow depth, snow cover, and irrigation intensity ...
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