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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Bibliographic Details
Main Author: Pielke, Roger A.
Format: eBook
Language:English
Published: Amsterdam Elsevier [2013]©2013, 2013
Edition:Third edition
Series:International Geophysics
Subjects:
Online Access:
Collection: Elsevier ScienceDirect eBooks - Collection details see MPG.ReNa
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245 0 0 |a Mesoscale meteorological modeling  |h Elektronische Ressource  |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 
260 |a Amsterdam  |b Elsevier  |c [2013]©2013, 2013 
300 |a online resource (743 pages)  |b illustrations 
505 0 |a Includes bibliographical references 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 
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653 |a Mesometeorology 
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653 |a Meteorology / Mathematical models / fast / (OCoLC)fst01018472 
653 |a Numerical weather forecasting 
653 |a SCIENCE / Earth Sciences / Geography / bisacsh 
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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