Factor Separation in the Atmosphere:

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.

List of contributors	p. vii
Foreword	p. xiii
Preface	p. xv
Introduction	p. 1
The Factor Separation Methodology and the fractional approach	p. 5
Investigation of the Factor Separation features for basic mathematical functions	p. 11
Factor Separation Methodology and paleoclimates	p. 28
Meso-meteorology: Factor Separation examples in atmospheric meso-scale motions	p. 53
Using the Alpert-Stein Factor Separation Methodology for land-use land-cover change impacts on weather and climate process with the Regional Atmospheric Modeling System	p. 67
Application of Factor Separation to heavy rainfall and cyclogenesis: Mediterranean examples	p. 87
Experience in applying the Alpert-Stein Factor Separation Methodology to assessing urban land-use and aerosol impacts on precipitation	p. 120
Free and forced thermocline oscillations in Lake Tanganyika	p. 146
Application of the Factor Separation Methodology to quantify the effect of waste heat, vapor and pollution on cumulus convection	p. 163
The use of the Alpert-Stein Factor Separation Methodology for climate variable interaction studies in hydrological land surface models and crop yield models	p. 171
Linear model for the sea breeze	p. 184
Experience and conclusions from the Alpert-Stein Factor Separation Methodology: Ensemble data assimilation and forecasting applications	p. 196
Tagging systematic errors arising from different components of dynamics and physics in forecast models	p. 219
Some difficulties and prospects	p. 237
Summary	p. 245
Appendix: References employing the Alpert-Stein Factor Separation Methodology	p. 250
References	p. 254
Index	p. 272
Table of Contents provided by Ingram. All Rights Reserved.

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

FREE SHIPPING

Rent More, Save More! Use code: BBRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

Factor Separation in the Atmosphere: Applications and Future Prospects

Summary

Table of Contents

Supplemental Materials