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    Assimilation of Satellite Soil Moisture for Improved Atmospheric Reanalyses 

    Source: Monthly Weather Review:;2019:;volume 147:;issue 006:;page 2163
    Author(s): Draper, Clara; Reichle, Rolf H.
    Publisher: American Meteorological Society
    Abstract: AbstractA newly developed, weakly coupled land and atmosphere data assimilation system for NASA?s Global Earth Observing System model is presented, and used to demonstrate the benefit of assimilating satellite soil moisture ...
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    Assessing the Impact of Horizontal Error Correlations in Background Fields on Soil Moisture Estimation 

    Source: Journal of Hydrometeorology:;2003:;Volume( 004 ):;issue: 006:;page 1229
    Author(s): Reichle, Rolf H.; Koster, Randal D.
    Publisher: American Meteorological Society
    Abstract: The importance of horizontal error correlations in background (i.e., model forecast) fields for large-scale soil moisture estimation is assessed by comparing the performance of one- and three-dimensional ensemble Kalman ...
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    Assimilation of GRACE Terrestrial Water Storage Data into a Land Surface Model: Results for the Mississippi River Basin 

    Source: Journal of Hydrometeorology:;2008:;Volume( 009 ):;issue: 003:;page 535
    Author(s): Zaitchik, Benjamin F.; Rodell, Matthew; Reichle, Rolf H.
    Publisher: American Meteorological Society
    Abstract: Assimilation of data from the Gravity Recovery and Climate Experiment (GRACE) system of satellites yielded improved simulation of water storage and fluxes in the Mississippi River basin, as evaluated against independent ...
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    Global Assimilation of Multiangle and Multipolarization SMOS Brightness Temperature Observations into the GEOS-5 Catchment Land Surface Model for Soil Moisture Estimation 

    Source: Journal of Hydrometeorology:;2015:;Volume( 017 ):;issue: 002:;page 669
    Author(s): De Lannoy, Gabriëlle J. M.; Reichle, Rolf H.
    Publisher: American Meteorological Society
    Abstract: ultiangle and multipolarization L-band microwave observations from the Soil Moisture Ocean Salinity (SMOS) mission are assimilated into the Goddard Earth Observing System Model, version 5 (GEOS-5), using a spatially ...
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    A Data-Driven Approach for Daily Real-Time Estimates and Forecasts of Near-Surface Soil Moisture 

    Source: Journal of Hydrometeorology:;2017:;Volume( 018 ):;issue: 003:;page 837
    Author(s): Koster, Randal D.; Reichle, Rolf H.; Mahanama, Sarith P. P.
    Publisher: American Meteorological Society
    Abstract: ASA?s Soil Moisture Active Passive (SMAP) mission provides global surface soil moisture retrievals with a revisit time of 2?3 days and a latency of 24 h. Here, to enhance the utility of the SMAP data, an approach is presented ...
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    The Effect of Satellite Rainfall Error Modeling on Soil Moisture Prediction Uncertainty 

    Source: Journal of Hydrometeorology:;2011:;Volume( 012 ):;issue: 003:;page 413
    Author(s): Maggioni, Viviana; Reichle, Rolf H.; Anagnostou, Emmanouil N.
    Publisher: American Meteorological Society
    Abstract: his study assesses the impact of satellite rainfall error structure on soil moisture simulations with the NASA Catchment land surface model. Specifically, the study contrasts a complex satellite rainfall error model (SREM2D) ...
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    Hydrologic Data Assimilation with the Ensemble Kalman Filter 

    Source: Monthly Weather Review:;2002:;volume( 130 ):;issue: 001:;page 103
    Author(s): Reichle, Rolf H.; McLaughlin, Dennis B.; Entekhabi, Dara
    Publisher: American Meteorological Society
    Abstract: Soil moisture controls the partitioning of moisture and energy fluxes at the land surface and is a key variable in weather and climate prediction. The performance of the ensemble Kalman filter (EnKF) for soil moisture ...
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    The Impact of Rainfall Error Characterization on the Estimation of Soil Moisture Fields in a Land Data Assimilation System 

    Source: Journal of Hydrometeorology:;2012:;Volume( 013 ):;issue: 003:;page 1107
    Author(s): Maggioni, Viviana; Reichle, Rolf H.; Anagnostou, Emmanouil N.
    Publisher: American Meteorological Society
    Abstract: his study presents a numerical experiment to assess the impact of satellite rainfall error structure on the efficiency of assimilating near-surface soil moisture observations. Specifically, the study contrasts a multidimensional ...
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    The Efficiency of Assimilating Satellite Soil Moisture Retrievals in a Land Data Assimilation System Using Different Rainfall Error Models 

    Source: Journal of Hydrometeorology:;2012:;Volume( 014 ):;issue: 001:;page 368
    Author(s): Maggioni, Viviana; Reichle, Rolf H.; Anagnostou, Emmanouil N.
    Publisher: American Meteorological Society
    Abstract: he efficiency of assimilating near-surface soil moisture retrievals from Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) observations in a Land Data Assimilation System (LDAS) is assessed using ...
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    Expanding the Application of Soil Moisture Monitoring Systems through Regression-Based Transformation 

    Source: Journal of Hydrometeorology:;2021:;volume( 022 ):;issue: 010:;page 2601
    Author(s): Crow, Wade T.;Reichle, Rolf H.;Dong, Jianzhi
    Publisher: American Meteorological Society
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