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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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书目名称Mesoscale Modeling of the Atmosphere
编辑Roger A. Pielke,Robert P. Pearce
视频video
概述This eBook available on-line for the first time, an AMS publication previously only in print.Comprehensive overview of mesoscale modeling
丛书名称Meteorological Monographs
图书封面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
关键词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
The information of publication is updating

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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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