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Mesoscale meteorological modeling /

The 3rd edition of Mesoscale Meteorological Modeling is a fully revised resource for researchers and practitioners in the growing field of meteorological modeling at the mesoscale. Pielke has enhanced the new edition by quantifying model capability (uncertainty) by a detailed evaluation of the assum...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pielke, Roger A., Sr., 1946- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Elsevier, [2013]
Edición:Third edition.
Colección:International geophysics series.
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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100 1 |a Pielke, Roger A.,  |c Sr.,  |d 1946-  |e author. 
245 1 0 |a Mesoscale meteorological modeling /  |c Rober A. Pielke, Sr., senior research scientist, Cooperative Institute for Research in the Atmosphere and the Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, and professor emeritus, Department of Atmospheric Science, Colorado State University, Fort Collins. 
250 |a Third edition. 
264 1 |a Amsterdam :  |b Elsevier,  |c [2013] 
264 4 |c �2013 
300 |a 1 online resource (xvi, 726 pages) :  |b illustrations (some color) 
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490 1 |a International geophysics series ;  |v volume 98 
504 |a Includes bibliographical references (pages 605-716) and index. 
505 0 |a Introduction -- Basic Set of Equations -- Simplification of the Basic Equations -- Averaging the Conservation Relations -- Physical and Analytic Modeling -- Coordinate Transformations -- Traditional Parameterizations -- New parameterization approaches -- Methods of solution -- Boundary and initial conditions -- Model evaluation -- Mesoscale modeling and satellite simulator -- Examples of mesoscale models -- Synoptic-scale background -- Appendices. 
520 |a The 3rd edition of Mesoscale Meteorological Modeling is a fully revised resource for researchers and practitioners in the growing field of meteorological modeling at the mesoscale. Pielke has enhanced the new edition by quantifying model capability (uncertainty) by a detailed evaluation of the assumptions of parameterization and error propagation. Mesoscale models are applied in a wide variety of studies, including weather prediction, regional and local climate assessments, and air pollution investigations. Broad expansion of the concepts of parameterization and parameter. 
546 |a English. 
588 0 |a Online resource; title from PDF title page (ebrary, viewed November 1, 2013). 
650 0 |a Mesometeorology. 
650 0 |a Numerical weather forecasting. 
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