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Titlebook: Handbook of Hydrometeorological Ensemble Forecasting; Qingyun Duan,Florian Pappenberger,John C. Schaake Reference work 2019 Springer-Verla

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書(shū)目名稱(chēng)Handbook of Hydrometeorological Ensemble Forecasting
編輯Qingyun Duan,Florian Pappenberger,John C. Schaake
視頻videohttp://file.papertrans.cn/422/421461/421461.mp4
概述Comprehensive reference on hydrometeorological ensemble forecasting.Multi-disciplinary knowledge contributed by meteorologists, hydrologists, users, and decision makers.Written by renowned experts fro
圖書(shū)封面Titlebook: Handbook of Hydrometeorological Ensemble Forecasting;  Qingyun Duan,Florian Pappenberger,John C. Schaake Reference work 2019 Springer-Verla
描述.Hydrometeorological prediction involves the forecasting of the state and variation of hydrometeorological elements -- including precipitation, temperature, humidity, soil moisture, river discharge, groundwater, etc.-- at different space and time scales. Such forecasts form an important scientific basis for informing public of natural hazards such as cyclones, heat waves, frosts, droughts and floods. Traditionally, and at most currently operational centers, hydrometeorological forecasts are deterministic, “single-valued” outlooks: i.e., the weather and hydrological models provide a single best guess of the magnitude and timing of the impending events. These forecasts suffer the obvious drawback of lacking uncertainty information that would help decision-makers assess the risks of forecast use. Recently, hydrometeorological ensemble forecast approaches have begun to be developed and used by operational hydrometeorological services. In contrast to deterministic forecasts, ensemble forecasts are a multiple forecasts of the same events. The ensemble forecasts are generated by perturbing uncertain factors such as model forcings, initial conditions, and/or model physics. Ensemble techniq
出版日期Reference work 2019
關(guān)鍵詞Ensemble Methods; Floods and Droughts; Hydrometeorological Forecasting; Statistical pre-processing and
版次1
doihttps://doi.org/10.1007/978-3-642-39925-1
isbn_ebook978-3-642-39925-1
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2019
The information of publication is updating

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