About this eBook
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.
About the author
Pinhas Alpert is Professor of Dynamic Meteorology and Climate and Head of the Porter School of Environmental Sciences, Tel-Aviv University, Israel. He is a co-author of more than 165 peer-reviewed articles mainly on aspects of mesoscale dynamics and climate. His research focuses on atmospheric dynamics, climatology, numerical methods, limited area modeling and climate change.
Tatiana Sholokhman is currently a PhD student at the Department of Geophysics and Planetary Science at Tel-Aviv University, Israel.
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