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    Simulating Hydrological Drought Properties at Different Spatial Units in the United States Based on Wavelet–Bayesian Regression Approach 

    Source: Earth Interactions:;2012:;volume( 016 ):;issue: 017:;page 1
    Author(s): Mishra, Ashok K.; Singh, Vijay P.
    Publisher: American Meteorological Society
    Abstract: ecause of their stochastic nature, droughts vary in space and time, and therefore quantifying droughts at different time units is important for water resources planning. The authors investigated the relationship between ...
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    Long Lead Time Drought Forecasting Using a Wavelet and Fuzzy Logic Combination Model: A Case Study in Texas 

    Source: Journal of Hydrometeorology:;2011:;Volume( 013 ):;issue: 001:;page 284
    Author(s): Özger, Mehmet; Mishra, Ashok K.; Singh, Vijay P.
    Publisher: American Meteorological Society
    Abstract: rought forecasting is important for drought risk management. Considering the El Niño?Southern Oscillation (ENSO) variability and persistence in drought characteristics, this study developed a wavelet and fuzzy logic (WFL) ...
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