Titlebook: Handbook of Hydrometeorological Ensemble Forecasting; Qingyun Duan,Florian Pappenberger,John C. Schaake Living reference work 20200th edit

Accommodation

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Intraseasonal to Interannual Climate Variability and Prediction,l to interannual (ISI) time range. The quality of ISI predictions rely on three basic capabilities: observing networks to sample the Earth’s climate system, an analysis scheme to summarize past and present observations into physically consistent time series of spatial fields, and a prediction method

偶然

AMBI

Major Operational Ensemble Prediction Systems (EPS) and the Future of EPS, e.g., in the form of a range of forecast scenarii or of probabilities of occurrence of weather events. Although there is an overall agreement on the main objectives of ensemble-based, probabilistic prediction, different methods have been followed to develop ensemble systems. In this chapter, we wil

UNT

Hydrological Challenges in Meteorological Post-processing,inty is the discrepancy between the meteorological forecasts and the weather which subsequently occurs. Post-processing meteorological forecasts can reduce this discrepancy by removing systematic errors and produce more reliable, corrected forecasts. However, when the corrected NWP output is used in

证实

Amorous

compassion

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Conceptual Hydrological Models,lationships among different hydrological variables. They are different from black-box models which consider precipitation-runoff relationship only statistically. They are also different from the physically based distributed hydrological models which are based on solving differential equations descri

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