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    Assessing Hydrologic Drought Risk Using Simplified Climate Model 

    Source: Journal of Hydrologic Engineering:;2000:;Volume ( 005 ):;issue: 004
    Author(s): Michael L. Anderson; M. Levent Kavvas; Michael D. Mierzwa
    Publisher: American Society of Civil Engineers
    Abstract: Water resources systems operation requires drought risk estimates to mitigate possible drought-related damages. Drought risk assessment is complicated by the nonlinear interaction of the atmospheric hydrologic and oceanic ...
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    Modeling Low Flows on the Cosumnes River 

    Source: Journal of Hydrologic Engineering:;2004:;Volume ( 009 ):;issue: 002
    Author(s): Michael L. Anderson; Z. Q. Chen; M. L. Kavvas
    Publisher: American Society of Civil Engineers
    Abstract: As a part of a study examining alternatives for flow augmentation for fall run Chinook salmon migration on the Cosumnes River, California, two models were constructed to simulate channel flow combined with seepage losses. ...
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    Role of Snowmelt in Determining whether the Maximum Precipitation Always Results in the Maximum Flood 

    Source: Journal of Hydrologic Engineering:;2016:;Volume ( 021 ):;issue: 010
    Author(s): Jiongfeng Chen; M. Levent Kavvas; Kei Ishida; Toan Trinh; Noriaki Ohara; Michael L. Anderson; Z. Q. Richard Chen
    Publisher: American Society of Civil Engineers
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    Maximization of Historical Storm Events over Seven Watersheds in Central/Southern Sierra Nevada by Means of Atmospheric Boundary Condition Shifting and Relative Humidity Optimization Methods 

    Source: Journal of Hydrologic Engineering:;2021:;Volume ( 027 ):;issue: 003:;page 04021051
    Author(s): Toan Trinh; Yoshihiko Iseri; Andres J. Diaz; Emily D. Snider; Michael L. Anderson; M. Levent Kavvas
    Publisher: ASCE
    Abstract: Estimated extreme precipitation and floods provide crucial information for both the design of large hydraulic structures and water resources management. This study aims to estimate, in a series of numerical experiments, ...
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    Advances in the Application and Utility of Subseasonal-to-Seasonal Predictions 

    Source: Bulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 006:;page E1448
    Author(s): Christopher J. White; Daniela I. V. Domeisen; Nachiketa Acharya; Elijah A. Adefisan; Michael L. Anderson; Stella Aura; Ahmed A. Balogun; Douglas Bertram; Sonia Bluhm; David J. Brayshaw; Jethro Browell; Dominik Büeler; Andrew Charlton-Perez; Xandre Chourio
    Publisher: American Meteorological Society
    Abstract: The subseasonal-to-seasonal (S2S) predictive time scale, encompassing lead times ranging from 2 weeks to a season, is at the frontier of forecasting science. Forecasts on this time scale provide opportunities for enhanced ...
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