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    An Experiment on Risk-Based Decision-Making in Water Management Using Monthly Probabilistic Forecasts 

    Source: Bulletin of the American Meteorological Society:;2015:;volume( 097 ):;issue: 004:;page 541
    Author(s): Crochemore, Louise; Ramos, Maria-Helena; Pappenberger, Florian; Andel, Schalk Jan van; Wood, Andrew W.
    Publisher: American Meteorological Society
    Abstract: he use of probabilistic forecasts is necessary to take into account uncertainties and allow for optimal risk-based decisions in streamflow forecasting at monthly to seasonal lead times. Such probabilistic forecasts have ...
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    How Suitable is Quantile Mapping For Postprocessing GCM Precipitation Forecasts? 

    Source: Journal of Climate:;2017:;volume( 030 ):;issue: 009:;page 3185
    Author(s): Zhao, Tongtiegang;Bennett, James C.;Wang, Q. J.;Schepen, Andrew;Wood, Andrew W.;Robertson, David E.;Ramos, Maria-Helena
    Publisher: American Meteorological Society
    Abstract: AbstractGCMs are used by many national weather services to produce seasonal outlooks of atmospheric and oceanic conditions and fluxes. Postprocessing is often a necessary step before GCM forecasts can be applied in practice. ...
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    Challenges of Operational River Forecasting 

    Source: Journal of Hydrometeorology:;2014:;Volume( 015 ):;issue: 004:;page 1692
    Author(s): Pagano, Thomas C.; Wood, Andrew W.; Ramos, Maria-Helena; Cloke, Hannah L.; Pappenberger, Florian; Clark, Martyn P.; Cranston, Michael; Kavetski, Dmitri; Mathevet, Thibault; Sorooshian, Soroosh; Verkade, Jan S.
    Publisher: American Meteorological Society
    Abstract: killful and timely streamflow forecasts are critically important to water managers and emergency protection services. To provide these forecasts, hydrologists must predict the behavior of complex coupled human?natural ...
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