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    A Bayesian Framework for Probabilistic Seasonal Drought Forecasting 

    Source: Journal of Hydrometeorology:;2013:;Volume( 014 ):;issue: 006:;page 1685
    Author(s): Madadgar, Shahrbanou; Moradkhani, Hamid
    Publisher: American Meteorological Society
    Abstract: easonal drought forecasting is presented within a multivariate probabilistic framework. The standardized streamflow index (SSI) is used to characterize hydrologic droughts with different severities across the Gunnison River ...
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    Statistical Comparisons of Watershed-Scale Response to Climate Change in Selected Basins across the United States 

    Source: Earth Interactions:;2010:;volume( 015 ):;issue: 014:;page 1
    Author(s): Risley, John; Moradkhani, Hamid; Hay, Lauren; Markstrom, Steve
    Publisher: American Meteorological Society
    Abstract: n an earlier global climate-change study, air temperature and precipitation data for the entire twenty-first century simulated from five general circulation models were used as input to precalibrated watershed models for ...
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    Multivariate Assimilation of Remotely Sensed Soil Moisture and Evapotranspiration for Drought Monitoring 

    Source: Journal of Hydrometeorology:;2020:;volume( 21 ):;issue: 010:;page 2293
    Author(s): Gavahi, Keyhan;Abbaszadeh, Peyman;Moradkhani, Hamid;Zhan, Xiwu;Hain, Christopher
    Publisher: American Meteorological Society
    Abstract: Soil moisture (SM) and evapotranspiration (ET) are key variables of the terrestrial water cycle with a strong relationship. This study examines remotely sensed soil moisture and evapotranspiration data assimilation (DA) ...
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    Corrigendum 

    Source: Bulletin of the American Meteorological Society:;2021:;volume( 102 ):;issue: 011:;page 1057
    Author(s): Abbaszadeh, Peyman;Moradkhani, Hamid;Gavahi, Keyhan;Kumar, Sujay;Hain, Christopher;Zhan, Xiwu;Duan, Qingyun;Peters-Lidard, Christa;Karimiziarani, Sepehr
    Publisher: American Meteorological Society
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    High-Resolution SMAP Satellite Soil Moisture Product: Exploring the Opportunities 

    Source: Bulletin of the American Meteorological Society:;2021:;volume( 102 ):;issue: 004:;page 309
    Author(s): Abbaszadeh, Peyman;Moradkhani, Hamid;Gavahi, Keyhan;Kumar, Sujay;Hain, Christopher;Zhan, Xiwu;Duan, Qingyun;Peters-Lidard, Christa;Karimiziarani, Sepehr
    Publisher: American Meteorological Society
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