Description 
1 online resource (xviii, 274 pages, 12 unnumbered pages of plates) : illustrations (some color), maps 
Contents 
1. Introduction / P. Alpert  2. The Factor Separation Methodology and the fractional approach / T. Sholokhman and P. Alpert  3. Investigation of the Factor Separation features for basic mathematical functions / T. Sholokhman and P. Alpert  4. Factor Separation Methodology and paleoclimates / A. Berger, M. Claussen and Q. Yin  5. Mesometeorology: Factor Separation examples in atmospheric mesoscale motions / P. Alpert  6. Using the AlpertStein Factor Separation Methodology for landuse landcover change impacts on weather and climate process with the Regional Atmospheric Modeling System / A. BeltránPrzekurat, R.A. Piekle Sr., J.L. Eastman, G.T. Narisma, A.J. Pitman, M. Lei, and D. Niyogi  7. Application of Factor Separation to heavy rainfall and cyclogenesis: Mediterranean examples / R. Romero  8. Experience in applying the AlpertStein Factor Separation Methodology to assessing urban landuse and aerosol impacts on precipitation / S.C. van den Heever, C. Rozoff, and W.R. Cotton  9. Free and forced thermocline oscillations in Lake Tanganyika / O. Gourgue, E. Deleersnijder, V. Legat, E. Marchal, and L. White  10. Application of the Factor Separation Methodology to quantify the effect of waste heat, vapor and pollution on cumulus convection / G.W. Reuter  11. The use of the AlpertStein Factor Separation Methodology for climate variable interaction studies in hydrological land surface models and crop yield models / D. Niyogi, R. Mera, Yongkang Xue, G. Wilkerson, and F. Booker  12. Linear model for the sea breeze / T. Sholokhman and P. Alpert  13. Experience and conclusions from the AlpertStein Factor Separation Methodology: Ensemble data assimilation and forecasting applications / D. RostkierEdelstein and J.P. Hacker  14. Tagging systematic errors arising from different components of dynamics and physics in forecast models / T.N. Krishnamurti and Vinay Kumar  15. Some difficulties and prospects / P. Alpert and T. Sholokhman  16. Summary / P. Alpert  Appendix: References employing the AlpertStein Factor Separation Methodology 
Summary 
"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" Provided by publisher 
Bibliography 
Includes bibliographical references (pages 250271) and index 
Notes 
Print version record 
Subject 
Atmospheric diffusion  Mathematical models.


Factorization (Mathematics)


Meteorology  Mathematical models.

Form 
Electronic book

Author 
Alpert, Pinhas.


Sholokhman, Tatiana.

ISBN 
9780511858246 

0511860854 (electronic bk.) 

0511921411 (electronic bk.) 

9780511860850 (electronic bk.) 

9780511921414 (electronic bk.) 
