| 書目名稱 | Handbook of Hydrometeorological Ensemble Forecasting | | 編輯 | Qingyun Duan,Florian Pappenberger,John C. Schaake | | 視頻video | http://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 | | 圖書封面 |  | | 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 | | 關鍵詞 | Ensemble Methods; Floods and Droughts; Hydrometeorological Forecasting; Statistical pre-processing and | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-39925-1 | | isbn_ebook | 978-3-642-39925-1 | | copyright | Springer-Verlag GmbH Germany, part of Springer Nature 2019 |
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