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    Understanding the Drivers of Drought Onset and Intensification in the Canadian Prairies: Insights from Explainable Artificial Intelligence (XAI) 

    Source: Journal of Hydrometeorology:;2023:;volume( 024 ):;issue: 011:;page 2035
    Author(s): Mardian, Jacob; Champagne, Catherine; Bonsal, Barrie; Berg, Aaron
    Publisher: American Meteorological Society
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    An Integrated Framework for a Joint Assimilation of Brightness Temperature and Soil Moisture Using the Nondominated Sorting Genetic Algorithm II 

    Source: Journal of Hydrometeorology:;2011:;Volume( 012 ):;issue: 006:;page 1596
    Author(s): Dumedah, Gift; Berg, Aaron A.; Wineberg, Mark
    Publisher: American Meteorological Society
    Abstract: his study has applied the Nondominated Sorting Genetic Algorithm II (NSGA-II) in a two-step assimilation procedure to jointly assimilate brightness temperature into a radiative transfer model and soil moisture into a land ...
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    Hyperresolution Land Surface Modeling in the Context of SMAP Cal–Val 

    Source: Journal of Hydrometeorology:;2015:;Volume( 017 ):;issue: 001:;page 345
    Author(s): Garnaud, Camille; Bélair, Stéphane; Berg, Aaron; Rowlandson, Tracy
    Publisher: American Meteorological Society
    Abstract: his study explores the performance of Environment Canada?s Surface Prediction System (SPS) in comparison to in situ observations from the Brightwater Creek soil moisture observation network with respect to soil moisture ...
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    Global Soil Moisture from Satellite Observations, Land Surface Models, and Ground Data: Implications for Data Assimilation 

    Source: Journal of Hydrometeorology:;2004:;Volume( 005 ):;issue: 003:;page 430
    Author(s): Reichle, Rolf H.; Koster, Randal D.; Dong, Jiarui; Berg, Aaron A.
    Publisher: American Meteorological Society
    Abstract: Three independent surface soil moisture datasets for the period 1979?87 are compared: 1) global retrievals from the Scanning Multichannel Microwave Radiometer (SMMR), 2) global soil moisture derived from observed meteorological ...
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    Realistic Initialization of Land Surface States: Impacts on Subseasonal Forecast Skill 

    Source: Journal of Hydrometeorology:;2004:;Volume( 005 ):;issue: 006:;page 1049
    Author(s): Koster, Randal D.; Suarez, Max J.; Liu, Ping; Jambor, Urszula; Berg, Aaron; Kistler, Michael; Reichle, Rolf; Rodell, Matthew; Famiglietti, Jay
    Publisher: American Meteorological Society
    Abstract: Forcing a land surface model (LSM) offline with realistic global fields of precipitation, radiation, and near-surface meteorology produces realistic fields (within the context of the LSM) of soil moisture, temperature, and ...
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    Uncertainty of Reference Pixel Soil Moisture Averages Sampled at SMAP Core Validation Sites 

    Source: Journal of Hydrometeorology:;2019:;volume 020:;issue 008:;page 1553
    Author(s): Chen, Fan; Crow, Wade T.; Cosh, Michael H.; Colliander, Andreas; Asanuma, Jun; Berg, Aaron; Bosch, David D.; Caldwell, Todd G.; Collins, Chandra Holifield; Jensen, Karsten Høgh; Martínez-Fernández, Jose; McNairn, Heather; Starks, Patrick J.; Su, Zhongbo
    Publisher: American Meteorological Society
    Abstract: AbstractDespite extensive efforts to maximize ground coverage and improve upscaling functions within core validation sites (CVS) of the NASA Soil Moisture Active Passive (SMAP) mission, spatial averages of point-scale soil ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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