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Titlebook: Hydrological Modelling and the Water Cycle; Coupling the Atmosph Soroosh Sorooshian,Kuo-Lin Hsu,Guido Visconti Book 2008 Springer-Verlag Be

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書目名稱Hydrological Modelling and the Water Cycle
副標題Coupling the Atmosph
編輯Soroosh Sorooshian,Kuo-Lin Hsu,Guido Visconti
視頻videohttp://file.papertrans.cn/431/430459/430459.mp4
概述Primary focus of this book is on hydrologic modeling and their data requirements, especially precipitation.Book addresses particular issues such as: - recent advances in the state of the art distribut
叢書名稱Water Science and Technology Library
圖書封面Titlebook: Hydrological Modelling and the Water Cycle; Coupling the Atmosph Soroosh Sorooshian,Kuo-Lin Hsu,Guido Visconti Book 2008 Springer-Verlag Be
描述This volume is a collection of a selected number of articles based on presentations at the 2005 L’Aquila (Italy) Summer School on the topic of “Hydrologic Modeling and Water Cycle: Coupling of the Atmosphere and Hydrological Models”. The p- mary focus of this volume is on hydrologic modeling and their data requirements, especially precipitation. As the eld of hydrologic modeling is experiencing rapid development and transition to application of distributed models, many challenges including overcoming the requirements of compatible observations of inputs and outputs must be addressed. A number of papers address the recent advances in the State-of-the-art distributed precipitation estimation from satellites. A number of articles address the issues related to the data merging and use of geo-statistical techniques for addressing data limitations at spatial resolutions to capture the h- erogeneity of physical processes. The participants at the School came from diverse backgrounds and the level of - terest and active involvement in the discussions clearly demonstrated the importance the scienti c community places on challenges related to the coupling of atmospheric and hydrologic models.
出版日期Book 2008
關(guān)鍵詞Cloud; Meteorology; NWP model; Precipitation; Rain; Scale; cellular automata algorithm; climate model; hydro
版次1
doihttps://doi.org/10.1007/978-3-540-77843-1
isbn_softcover978-3-642-09664-8
isbn_ebook978-3-540-77843-1Series ISSN 0921-092X Series E-ISSN 1872-4663
issn_series 0921-092X
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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Satellite Clouds and Precipitation Observations for Meteorology and Climate the 60s several visible/infrared/microwave techniques for “inferring”, rather than “measuring” rainfall intensity from space were conceived, but seldom reached operational application. Algorithms have greatly evolved and now offer an acceptable quality level when products are averaged over suitable
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Advanced Techniques for Polarimetric Radar Estimation of Rainfalltive applications require a careful data processing as several impairments may reduce the reliability of such estimates. Among them, attenuation due to absorption and scattering of the transmitted and received signals in the rain path, hail contamination and the high space-time variability of raindr
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An Ensemble Approach to Uncertainty Estimation for Satellite-Based Rainfall Estimatesy of data in real time.? complete area coverage irrespective of terrain or climate.However, in all cases rainfall is estimated via an algorithm which has some inherent degree of statistical uncertainty. Assessing this uncertainty is of obvious importance, not least because knowledge of the uncertain
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Watershed Hydrological Modeling: Toward Physically Meaningful Processes Representationibed by more or less complex mathematical relations which translate general physical laws also referred as governing equations. The governing equations are usually partial differential equations (PDEs) at “point-scale” while models refer to finite scale (i.e. the grid cell). A correct integration of
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