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    Optimization and Variants of Quantile-Based Methods for Bias Corrections of Statistically Downscaled Precipitation Data 

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 007
    Author(s): Aneesh Goly; Ramesh S. V. Teegavarapu
    Publisher: ASCE
    Abstract: New optimization and variants of quantile-based methods are developed for bias corrections of monthly and daily general circulation model (GCM)-based statistically downscaled precipitation data. These methods use optimization ...
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    Comprehensive Framework for Assessment of Radar-Based Precipitation Data Estimates 

    Source: Journal of Hydrologic Engineering:;2017:;Volume ( 022 ):;issue: 005
    Author(s): Ramesh S. V. Teegavarapu; Aneesh Goly; Qinglong Wu
    Publisher: American Society of Civil Engineers
    Abstract: Assessment of radar-based precipitation estimates using rain gauge observations is a critical exercise in evaluating pre-and postcorrected (gauge-adjusted) radar-based precipitation data. A comprehensive assessment framework ...
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    Comprehensive Framework for Assessment of Radar-Based Precipitation Data Estimates 

    Source: Journal of Hydrologic Engineering:;2017:;Volume ( 022 ):;issue: 005
    Author(s): Ramesh S. V. Teegavarapu; Aneesh Goly; Qinglong Wu
    Publisher: American Society of Civil Engineers
    Abstract: Assessment of radar-based precipitation estimates using rain gauge observations is a critical exercise in evaluating pre-and postcorrected (gauge-adjusted) radar-based precipitation data. A comprehensive assessment framework ...
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