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Mesoscale meteorological modeling /

The second 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 as...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pielke, Roger A., Sr., 1946-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Academic Press, ©2002.
Edición:2nd ed.
Colección:International geophysics series ; v. 78.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Pielke, Roger A.,  |c Sr.,  |d 1946- 
245 1 0 |a Mesoscale meteorological modeling /  |c Roger A. Pielke. 
250 |a 2nd ed. 
260 |a San Diego :  |b Academic Press,  |c ©2002. 
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490 1 |a International geophysics series ;  |v v. 78 
500 |a Revised edition of: Mesoscale modeling of the atmosphere. ©1994. 
504 |a Includes bibliographical references (pages 571-660) and index. 
505 0 |a Introduction -- Basic set of equations -- Simplification of the basic equations -- Averaging the conservation relations -- Physical and analytical modeling -- Coordinate transformations -- Parameterization-averaged subgrid-scale fluxes -- Averaged radiation flux divergence -- Parameterization of moist thermodynamic processes -- Methods of solution -- Boundary and initial conditions -- Model evaluation -- Examples of mesoscale models -- Appendix A: The solution of eqs. (10-28) and (10-47) -- Appendix B: Model summaries -- Appendix C: Summary of several cumulus cloud parameterization schemes -- Appendix D: BATS, LAPS, and LEAF comparison tables -- Appendix E: Summary of datasets (2000). 
588 0 |a Print version record. 
520 |a The second 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. 
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