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    Diagnosing the Sensitivity of Local Land–Atmosphere Coupling via the Soil Moisture–Boundary Layer Interaction 

    Source: Journal of Hydrometeorology:;2011:;Volume( 012 ):;issue: 005:;page 766
    Author(s): Santanello, Joseph A.; Peters-Lidard, Christa D.; Kumar, Sujay V.
    Publisher: American Meteorological Society
    Abstract: he inherent coupled nature of earth?s energy and water cycles places significant importance on the proper representation and diagnosis of land?atmosphere (LA) interactions in hydrometeorological prediction models. However, ...
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    Understanding the Impacts of Land Surface and PBL Observations on the Terrestrial and Atmospheric Legs of Land–Atmosphere Coupling 

    Source: Journal of Hydrometeorology:;2021:;volume( 022 ):;issue: 009:;page 2241
    Author(s): Lawston-Parker, Patricia;Santanello, Joseph A.;Kumar, Sujay V.
    Publisher: American Meteorological Society
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    A Modeling and Observational Framework for Diagnosing Local Land–Atmosphere Coupling on Diurnal Time Scales 

    Source: Journal of Hydrometeorology:;2009:;Volume( 010 ):;issue: 003:;page 577
    Author(s): Santanello, Joseph A.; Peters-Lidard, Christa D.; Kumar, Sujay V.; Alonge, Charles; Tao, Wei-Kuo
    Publisher: American Meteorological Society
    Abstract: Land?atmosphere interactions play a critical role in determining the diurnal evolution of both planetary boundary layer (PBL) and land surface temperature and moisture states. The degree of coupling between the land surface ...
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    Role of Subsurface Physics in the Assimilation of Surface Soil Moisture Observations 

    Source: Journal of Hydrometeorology:;2009:;Volume( 010 ):;issue: 006:;page 1534
    Author(s): Kumar, Sujay V.; Reichle, Rolf H.; Koster, Randal D.; Crow, Wade T.; Peters-Lidard, Christa D.
    Publisher: American Meteorological Society
    Abstract: Root-zone soil moisture controls the land?atmosphere exchange of water and energy, and exhibits memory that may be useful for climate prediction at monthly scales. Assimilation of satellite-based surface soil moisture ...
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    Assimilation of Satellite-Derived Skin Temperature Observations into Land Surface Models 

    Source: Journal of Hydrometeorology:;2010:;Volume( 011 ):;issue: 005:;page 1103
    Author(s): Reichle, Rolf H.; Kumar, Sujay V.; Mahanama, Sarith P. P.; Koster, Randal D.; Liu, Q.
    Publisher: American Meteorological Society
    Abstract: Land surface (or ?skin?) temperature (LST) lies at the heart of the surface energy balance and is a key variable in weather and climate models. In this research LST retrievals from the International Satellite Cloud Climatology ...
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    Impacts of High-Resolution Land Surface Initialization on Regional Sensible Weather Forecasts from the WRF Model 

    Source: Journal of Hydrometeorology:;2008:;Volume( 009 ):;issue: 006:;page 1249
    Author(s): Case, Jonathan L.; Crosson, William L.; Kumar, Sujay V.; Lapenta, William M.; Peters-Lidard, Christa D.
    Publisher: American Meteorological Society
    Abstract: This manuscript presents an assessment of daily regional simulations of the Weather Research and Forecasting (WRF) numerical weather prediction (NWP) model initialized with high-resolution land surface data from the NASA ...
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    Quantifying the Added Value of Snow Cover Area Observations in Passive Microwave Snow Depth Data Assimilation 

    Source: Journal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 004:;page 1736
    Author(s): Kumar, Sujay V.; Peters-Lidard, Christa D.; Arsenault, Kristi R.; Getirana, Augusto; Mocko, David; Liu, Yuqiong
    Publisher: American Meteorological Society
    Abstract: ccurate determination of snow conditions is important for several water management applications, partly because of the significant influence of snowmelt on seasonal streamflow prediction. This article examines an approach ...
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    Impact of Soil Moisture Assimilation on Land Surface Model Spinup and Coupled Land–Atmosphere Prediction 

    Source: Journal of Hydrometeorology:;2015:;Volume( 017 ):;issue: 002:;page 517
    Author(s): Santanello, Joseph A.; Kumar, Sujay V.; Peters-Lidard, Christa D.; Lawston, Patricia M.
    Publisher: American Meteorological Society
    Abstract: dvances in satellite monitoring of the terrestrial water cycle have led to a concerted effort to assimilate soil moisture observations from various platforms into offline land surface models (LSMs). One principal but still ...
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    Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions 

    Source: Journal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 003:;page 745
    Author(s): Nearing, Grey S.; Mocko, David M.; Peters-Lidard, Christa D.; Kumar, Sujay V.; Xia, Youlong
    Publisher: American Meteorological Society
    Abstract: odel benchmarking allows us to separate uncertainty in model predictions caused by model inputs from uncertainty due to model structural error. This method is extended with a ?large sample? approach (using data from multiple ...
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    Assessing the Impact of L-Band Observations on Drought and Flood Risk Estimation: A Decision-Theoretic Approach in an OSSE Environment 

    Source: Journal of Hydrometeorology:;2014:;Volume( 015 ):;issue: 006:;page 2140
    Author(s): Kumar, Sujay V.; Harrison, Kenneth W.; Peters-Lidard, Christa D.; Santanello, Joseph A.; Kirschbaum, Dalia
    Publisher: American Meteorological Society
    Abstract: bserving system simulation experiments (OSSEs) are often conducted to evaluate the worth of existing data and data yet to be collected from proposed new missions. As missions increasingly require a broader ?Earth systems? ...
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    DSpace software copyright © 2002-2015  DuraSpace
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