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Titlebook: Mesoscale Modeling of the Atmosphere; Roger A. Pielke,Robert P. Pearce Book 1994 American Meteorological Society 1994 Boundary Conditions.

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書目名稱Mesoscale Modeling of the Atmosphere
編輯Roger A. Pielke,Robert P. Pearce
視頻videohttp://file.papertrans.cn/632/631054/631054.mp4
概述This eBook available on-line for the first time, an AMS publication previously only in print.Comprehensive overview of mesoscale modeling
叢書名稱Meteorological Monographs
圖書封面Titlebook: Mesoscale Modeling of the Atmosphere;  Roger A. Pielke,Robert P. Pearce Book 1994 American Meteorological Society 1994 Boundary Conditions.
描述This book provides an overview of several components of mesoscale modeling: boundary conditions, subgrid-scale parameterization, moisture processes, and radiation. Also included are mesoscale model comparisons using data from the U.S. Army‘s Project WIND (Winds in Non-uniform Domains).
出版日期Book 1994
關鍵詞Boundary Conditions; Mesoscale Meteorology; Mesoscale Model; Moisture Processes; Numerical Modeling; Radi
版次1
doihttps://doi.org/10.1007/978-1-935704-12-6
isbn_ebook978-1-935704-12-6Series ISSN 0065-9401
issn_series 0065-9401
copyrightAmerican Meteorological Society 1994
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Comments on Statistical ResultsThe following must be borne in mind.
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Mesoscale Meteorological Model Evaluation Techniques with Emphasis on Needs of Air Quality Modelso air quality models. Our definition of “mesoscale” is broad enough to encompass so-called regional models. The characteristics of existing model evaluations are compared with the components of an optimum comprehensive model evaluation system.
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Statistical Evaluation of the Mesoscale Model Resultshe models individually, that is, for FITNAH (chapter 9), Tel Aviv (chapter 10), RAMS (chapter 11), and HOTMAC (chapter 12). In this chapter the results are examined as a whole using the statistical approach suggested in chapter 6.
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0065-9401 s book provides an overview of several components of mesoscale modeling: boundary conditions, subgrid-scale parameterization, moisture processes, and radiation. Also included are mesoscale model comparisons using data from the U.S. Army‘s Project WIND (Winds in Non-uniform Domains).978-1-935704-12-6Series ISSN 0065-9401
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