Articles liés à Mesoscale Meteorological Modeling. 2nd Edition

Mesoscale Meteorological Modeling. 2nd Edition - Couverture rigide

Pielke, Roger-A Sr

 
9780125547666: Mesoscale Meteorological Modeling. 2nd Edition

Synopsis

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. Features: Up-to-date overview of numerical modeling appropriate to the practitioner as well as to the researcher of mesoscale phenomena; New numerical and analytical tools are introduced; The appendix of the book provides summaries of the framework and applications of a suite of mesoscale models as of early 2001; Instructors will appreciate the new problems that have been added to the text.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Revue de presse

"This book is a useful reference for those interested int he application of numerical models as applied to mesoscale phenomena...a worthwhile addition to one's library."
-BAMS (Bulletin of the American Meteorological Society)

"Roger A. Pielke, Sr., has been working at the forefront of mesoscale meteorological research for the past thirty years...I recommend this book to all those interested in mesoscale meteorological modelling."
-Dale Hess, Bureau of Meteorology Research Centre
Australian Meteorological Magazine, September, 2002

Présentation de l'éditeur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.