Factor separation in the atmosphere: Applications and future prospects

Pinhas Alpert (Editor), Tatiana Sholokhman (Editor)

Research output: Book/ReportBookpeer-review

15 Scopus citations

Abstract

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.

Original languageEnglish
Place of PublicationCambridge; New York
PublisherCambridge University Press
Number of pages274
Volume9780521191739
ISBN (Electronic)0511857373, 0511858248, 0511859112, 0511859988, 0511860854, 0511921411, 0521191734, 1139885782, 1283006030, 9780511860850, 9780511921414, 9780521191739, 9786613006035
ISBN (Print)9780521191739
DOIs
StatePublished - 2011

ULI Keywords

  • uli
  • Atmospheric diffusion -- Mathematical models
  • Factorization (Mathematics)

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