%0 Book
%T Factor separation in the atmosphere applications and future prospects
%A Alpert, Pinhas
%A Sholokhman, Tatiana
%A Sholokhman, Tatiana
%7 1. publ.
%I Cambridge University Press
%@ 0521191734
%@ 9780521191739
%K Atmospheric diffusion Mathematical models
%K Meteorology Mathematical methods
%K Factorization (Mathematics)
%K Atmosphere
%K Mathematical models
%K Aufsatzsammlung
%K Meteorologie
%K Faktorisierung
%D c 2011
%X 1. Introduction P. Alpert
%X 1.Introduction P. Alpert
%X 2. The Factor Separation Methodology and the fractional approach T. Sholokhman and P. Alpert
%X 3. Investigation of the Factor Separation features for basic mathematical functions T. Sholokhman and P. Alpert
%X 4. Factor Separation Methodology and paleoclimates A. Berger, M. Claussen and Q. Yin
%X 5. Meso-meteorology: Factor Separation examples in atmospheric meso-scale motions P. Alpert
%X 6. 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 A. Beltrán-Przekurat, R.A. Piekle Sr., J.L. Eastman, G.T. Narisma, A.J. Pitman, M. Lei, and D. Niyogi
%X 7. Application of Factor Separation to heavy rainfall and cyclogenesis: Mediterranean examples R. Romero
%X 8. Experience in applying the Alpert-Stein Factor Separation Methodology to assessing urban land-use and aerosol impacts on precipitation S.C. van den Heever, C. Rozoff, and W.R. Cotton
%X 9. Free and forced thermocline oscillations in Lake Tanganyika O. Gourgue, E. Deleersnijder, V. Legat, E. Marchal, and L. White
%X 10. Application of the Factor Separation Methodology to quantify the effect of waste heat, vapor and pollution on cumulus convection G.W. Reuter
%X 11. The use of the Alpert-Stein 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
%X 12. Linear model for the sea breeze T. Sholokhman and P. Alpert
%X 13. Experience and conclusions from the Alpert-Stein Factor Separation Methodology: Ensemble data assimilation and forecasting applications D. Rostkier-Edelstein and J.P. Hacker
%X 14. Tagging systematic errors arising from different components of dynamics and physics in forecast models T. N. Krishnamurti and Vinay Kumar
%X 15. Some difficulties and prospects P. Alpert and T. Sholokhman
%X 16. Summary P. Alpert
%X Appendix: References employing the Alpert-Stein Factor Separation Methodology.
%X 2.The Factor Separation Methodology and the fractional approach T. Sholokhman and P. Alpert
%X 3.Investigation of the Factor Separation features for basic mathematical functions T. Sholokhman and P. Alpert
%X 4.Factor Separation Methology and paleoclimates A. Berger, M. Claussen and Q. Yin
%X 6.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 A. Beltrán-Przekurat, R.A. Piekle Sr., J.L. Eastman, G.T. Narisma, A.J. Pitman, M. Lei, and D. Niyogi
%X 7.Application of Factor Separation to heavy rainfall and cyclogenesis: Mediterranean examples R. Romero
%X 8.Experience in applying the Alpert-Stein Factor Separation Metholodolgy to assessing urban land-use and aerosol impacts on precipitation S.C. van den Heever, C. Rozoff, and W.R. Cotton
%X 9.Free and forced thermocline oscillations in Lake Tanganyika O. Gourgue, E. Deleersnijder, V. Legat, E. Marchal, and L. White
%X 10.Application of the Factor Separation Methodology to quantify the effect of waste heat, vapor and pollution on cumulus convection G.W. Reuter
%X 11.The use of the Alpert-Stein 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
%X 12.Linear model for the sea breeze T. Sholokhman and P. Alpert
%X 13.Experience and conclusions from the Alpert-Stein Factor Separation Methodology: Ensemble data assimilation and forecasting applications D. Rostkier-Edelstein and J.P. Hacker
%X 14.Tagging systematic errors arising from different components of dynamics and physics in forecast models T. N. Krishnamurti and Vinay Kumar
%X 15.Some difficulties and prospects P. Alpert and T. Sholokhman
%X 16.Summary P. Alpert
%C Cambridge University Press
%C Cambridge [u.a.]
%U http://slubdd.de/katalog?TN_libero_mab2
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