Factor separation in the atmosphere : applications and future prospects /
"Modeling atmospheric processes in order to forecast the weather or future climate change is an extremely complex and computationally intensive undertaking. One of the main difficulties is that there are a huge number of factors that need to be taken into account, some of which are still poorly...
Clasificación: | Libro Electrónico |
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Otros Autores: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge ; New York :
Cambridge University Press,
2011.
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Temas: | |
Acceso en línea: | Texto completo |
Sumario: | "Modeling atmospheric processes in order to forecast the weather or future climate change is an extremely complex and computationally intensive undertaking. One of the main difficulties is that there are a huge number of factors that need to be taken into account, some of which are still poorly understood. The Factor Separation (FS) method is a computational procedure that helps deal with these nonlinear factors. In recent years many scientists have applied FS methodology to a range of modeling problems, including paleoclimatology, limnology, regional climate change, rainfall analysis, cloud modeling, pollution, crop growth, and other forecasting applications. This book is the first to describe the fundamentals of the method, and to bring together its many applications in the atmospheric sciences. The main audience is researchers and graduate students using the FS method, but it is also of interest to advanced students, researchers, and professionals across the atmospheric sciences"-- |
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Descripción Física: | 1 online resource (xviii, 274 pages, 12 unnumbered pages of plates) : illustrations (some color), maps |
Bibliografía: | Includes bibliographical references (pages 250-271) and index. |
ISBN: | 9780511860850 0511860854 9780511921414 0511921411 1139885782 9781139885782 1283006030 9781283006033 9786613006035 6613006033 0511859112 9780511859113 0511858248 9780511858246 0511859988 9780511859984 0511857373 9780511857379 |