Factor separation in the atmosphere : applications and future prospects /
"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...
Clasificación: | Libro Electrónico |
---|---|
Otros Autores: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge ; New York :
Cambridge University Press,
2011.
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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. Meso-meteorology: Factor Separation examples in atmospheric meso-scale motions / P. Alpert
- 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
- 7. Application of Factor Separation to heavy rainfall and cyclogenesis: Mediterranean examples / R. Romero
- 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
- 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 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
- 12. Linear model for the sea breeze / T. Sholokhman and P. Alpert
- 13. Experience and conclusions from the Alpert-Stein Factor Separation Methodology: Ensemble data assimilation and forecasting applications / D. Rostkier-Edelstein 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 Alpert-Stein Factor Separation Methodology.