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

Accommodation

使習(xí)慣于

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

證實(shí)

Amorous

compassion

subacute

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

Optic-Disk