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    Relative Importance of the Different Rainfall Statistics in the Calibration of Stochastic Rainfall Generation Models 

    Source: Journal of Hydrologic Engineering:;2012:;Volume ( 017 ):;issue: 003
    Author(s): Dongkyun Kim; Francisco Olivera
    Publisher: American Society of Civil Engineers
    Abstract: Stochastic rainfall generators are used in hydrologic analysis because they can provide precipitation input to models whenever data are not available, and their parameters are calculated so that the long-term statistics ...
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    Estimation of Average Rainfall Areal Reduction Factors in Texas Using NEXRAD Data 

    Source: Journal of Hydrologic Engineering:;2008:;Volume ( 013 ):;issue: 006
    Author(s): Francisco Olivera; Janghwoan Choi; Dongkyun Kim; Ming-Han Li
    Publisher: American Society of Civil Engineers
    Abstract: Precipitation areal reduction factors (ARFs) for the
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    Comprehensive Evaluation of Machine Learning Techniques for Hydrological Drought Forecasting 

    Source: Journal of Irrigation and Drainage Engineering:;2021:;Volume ( 147 ):;issue: 007:;page 04021022-1
    Author(s): Muhammad Jehanzaib; Muhammad Bilal Idrees; Dongkyun Kim; Tae-Woong Kim
    Publisher: ASCE
    Abstract: Drought is among the most hazardous climatic disasters that significantly influence various aspects of the environment and human life. Qualitative and reliable drought forecasting is important worldwide for effective ...
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