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 under...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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2011
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| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 24 Feb 2016) |
| Beschreibung: | 1 online resource (xviii, 274 pages) |
| ISBN: | 9780511921414 |
| DOI: | 10.1017/CBO9780511921414 |
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| 245 | 1 | 0 | |a Factor Separation in the Atmosphere |b Applications and Future Prospects |c edited by Pinhas Alpert and Tatiana Sholokhman, Tel Aviv University, Israel |
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| 505 | 8 | 0 | |g 1 |t Introduction |r P. Alpert |g 2 |t The Factor Separation Methodology and the fractional approach |r T. Sholokhman and P. Alpert |g 3 |t Investigation of the Factor Separation features for basic mathematical functions |r T. Sholokhman and P. Alpert |g 4 |t Factor Separation Methodology and paleoclimates |r A. Berger, M. Claussen and Q. Yin |g 5. Meso-meteorology: Factor Separation examples in atmospheric meso-scale motions |r P. Alpert |g 6 |t 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 |r A. Beltrán-Przekurat, R.A. Piekle Sr., J.L. Eastman, G.T. Narisma, A.J. Pitman, M. Lei, and D. Niyogi |g 7 |t Application of Factor Separation to heavy rainfall and cyclogenesis: Mediterranean examples |r R. Romero |g 8 |t Experience in applying the Alpert-Stein Factor Separation Methodology to assessing urban land-use and aerosol impacts on precipitation |t Free and forced thermocline oscillations in Lake Tanganyika |t Application of the Factor Separation Methodology to quantify the effect of waste heat, vapor and pollution on cumulus convection |t The use of the Alpert-Stein Factor Separation Methodology for climate variable interaction studies in hydrological land surface models and crop yield models |t Linear model for the sea breeze |t Experience and conclusions from the Alpert-Stein Factor Separation Methodology: Ensemble data assimilation and forecasting applications |r S.C. van den Heever, C. Rozoff, and W.R. Cotton -- |r O. Gourgue, E. Deleersnijder, V. Legat, E. Marchal, and L. White -- |r G.W. Reuter -- |r D. Niyogi, R. Mera, Yongkang Xue, G. Wilkerson, and F. Booker -- |r T. Sholokhman and P. Alpert -- |r D. Rostkier-Edelstein and J.P. Hacker -- |9 |g 9 |g 10 |g 11 |g 12 |g 13 |g 14 |
| 505 | 8 | 0 | |t Tagging systematic errors arising from different components of dynamics and physics in forecast models |t Some difficulties and prospects |t Summary |t Appendix: References employing the Alpert-Stein Factor Separation Methodology |r T. N. Krishnamurti and Vinay Kumar -- |r P. Alpert and T. Sholokhman -- |r P. Alpert -- |9 |g 15 |g 16 |
| 520 | |a 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 | ||
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Atmospheric diffusion / Mathematical models | |
| 650 | 4 | |a Meteorology / Mathematical methods | |
| 650 | 4 | |a Factorization (Mathematics) | |
| 700 | 1 | |a Alpert, Pinhas |4 edt | |
| 700 | 1 | |a Sholokhman, Tatiana |4 edt | |
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Datensatz im Suchindex
| _version_ | 1804176890342146048 |
|---|---|
| any_adam_object | |
| author2 | Alpert, Pinhas Sholokhman, Tatiana |
| author2_role | edt edt |
| author2_variant | p a pa t s ts |
| author_additional | P. Alpert T. Sholokhman and P. Alpert A. Berger, M. Claussen and Q. Yin A. Beltrán-Przekurat, R.A. Piekle Sr., J.L. Eastman, G.T. Narisma, A.J. Pitman, M. Lei, and D. Niyogi R. Romero S.C. van den Heever, C. Rozoff, and W.R. Cotton -- O. Gourgue, E. Deleersnijder, V. Legat, E. Marchal, and L. White -- G.W. Reuter -- D. Niyogi, R. Mera, Yongkang Xue, G. Wilkerson, and F. Booker -- T. Sholokhman and P. Alpert -- D. Rostkier-Edelstein and J.P. Hacker -- T. N. Krishnamurti and Vinay Kumar -- P. Alpert and T. Sholokhman -- P. Alpert -- |
| author_facet | Alpert, Pinhas Sholokhman, Tatiana |
| building | Verbundindex |
| bvnumber | BV043944883 |
| collection | ZDB-20-CBO |
| contents | Introduction The Factor Separation Methodology and the fractional approach Investigation of the Factor Separation features for basic mathematical functions Factor Separation Methodology and paleoclimates 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 Application of Factor Separation to heavy rainfall and cyclogenesis: Mediterranean examples Experience in applying the Alpert-Stein Factor Separation Methodology to assessing urban land-use and aerosol impacts on precipitation Free and forced thermocline oscillations in Lake Tanganyika Application of the Factor Separation Methodology to quantify the effect of waste heat, vapor and pollution on cumulus convection The use of the Alpert-Stein Factor Separation Methodology for climate variable interaction studies in hydrological land surface models and crop yield models Linear model for the sea breeze Experience and conclusions from the Alpert-Stein Factor Separation Methodology: Ensemble data assimilation and forecasting applications Tagging systematic errors arising from different components of dynamics and physics in forecast models Some difficulties and prospects Summary Appendix: References employing the Alpert-Stein Factor Separation Methodology |
| ctrlnum | (ZDB-20-CBO)CR9780511921414 (OCoLC)839012000 (DE-599)BVBBV043944883 |
| dewey-full | 551.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 551 - Geology, hydrology, meteorology |
| dewey-raw | 551.5 |
| dewey-search | 551.5 |
| dewey-sort | 3551.5 |
| dewey-tens | 550 - Earth sciences |
| discipline | Geologie / Paläontologie |
| doi_str_mv | 10.1017/CBO9780511921414 |
| format | Electronic eBook |
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| id | DE-604.BV043944883 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:22Z |
| institution | BVB |
| isbn | 9780511921414 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029353853 |
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| spelling | Factor Separation in the Atmosphere Applications and Future Prospects edited by Pinhas Alpert and Tatiana Sholokhman, Tel Aviv University, Israel Cambridge Cambridge University Press 2011 1 online resource (xviii, 274 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 24 Feb 2016) 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 Free and forced thermocline oscillations in Lake Tanganyika Application of the Factor Separation Methodology to quantify the effect of waste heat, vapor and pollution on cumulus convection The use of the Alpert-Stein Factor Separation Methodology for climate variable interaction studies in hydrological land surface models and crop yield models Linear model for the sea breeze Experience and conclusions from the Alpert-Stein Factor Separation Methodology: Ensemble data assimilation and forecasting applications S.C. van den Heever, C. Rozoff, and W.R. Cotton -- O. Gourgue, E. Deleersnijder, V. Legat, E. Marchal, and L. White -- G.W. Reuter -- D. Niyogi, R. Mera, Yongkang Xue, G. Wilkerson, and F. Booker -- T. Sholokhman and P. Alpert -- D. Rostkier-Edelstein and J.P. Hacker -- 9 10 11 12 13 14 Tagging systematic errors arising from different components of dynamics and physics in forecast models Some difficulties and prospects Summary Appendix: References employing the Alpert-Stein Factor Separation Methodology T. N. Krishnamurti and Vinay Kumar -- P. Alpert and T. Sholokhman -- P. Alpert -- 15 16 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 Mathematisches Modell Atmospheric diffusion / Mathematical models Meteorology / Mathematical methods Factorization (Mathematics) Alpert, Pinhas edt Sholokhman, Tatiana edt Erscheint auch als Druckausgabe 978-0-521-19173-9 https://doi.org/10.1017/CBO9780511921414 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Factor Separation in the Atmosphere Applications and Future Prospects Introduction The Factor Separation Methodology and the fractional approach Investigation of the Factor Separation features for basic mathematical functions Factor Separation Methodology and paleoclimates 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 Application of Factor Separation to heavy rainfall and cyclogenesis: Mediterranean examples Experience in applying the Alpert-Stein Factor Separation Methodology to assessing urban land-use and aerosol impacts on precipitation Free and forced thermocline oscillations in Lake Tanganyika Application of the Factor Separation Methodology to quantify the effect of waste heat, vapor and pollution on cumulus convection The use of the Alpert-Stein Factor Separation Methodology for climate variable interaction studies in hydrological land surface models and crop yield models Linear model for the sea breeze Experience and conclusions from the Alpert-Stein Factor Separation Methodology: Ensemble data assimilation and forecasting applications Tagging systematic errors arising from different components of dynamics and physics in forecast models Some difficulties and prospects Summary Appendix: References employing the Alpert-Stein Factor Separation Methodology Mathematisches Modell Atmospheric diffusion / Mathematical models Meteorology / Mathematical methods Factorization (Mathematics) |
| title | Factor Separation in the Atmosphere Applications and Future Prospects |
| title_alt | Introduction The Factor Separation Methodology and the fractional approach Investigation of the Factor Separation features for basic mathematical functions Factor Separation Methodology and paleoclimates 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 Application of Factor Separation to heavy rainfall and cyclogenesis: Mediterranean examples Experience in applying the Alpert-Stein Factor Separation Methodology to assessing urban land-use and aerosol impacts on precipitation Free and forced thermocline oscillations in Lake Tanganyika Application of the Factor Separation Methodology to quantify the effect of waste heat, vapor and pollution on cumulus convection The use of the Alpert-Stein Factor Separation Methodology for climate variable interaction studies in hydrological land surface models and crop yield models Linear model for the sea breeze Experience and conclusions from the Alpert-Stein Factor Separation Methodology: Ensemble data assimilation and forecasting applications Tagging systematic errors arising from different components of dynamics and physics in forecast models Some difficulties and prospects Summary Appendix: References employing the Alpert-Stein Factor Separation Methodology |
| title_auth | Factor Separation in the Atmosphere Applications and Future Prospects |
| title_exact_search | Factor Separation in the Atmosphere Applications and Future Prospects |
| title_full | Factor Separation in the Atmosphere Applications and Future Prospects edited by Pinhas Alpert and Tatiana Sholokhman, Tel Aviv University, Israel |
| title_fullStr | Factor Separation in the Atmosphere Applications and Future Prospects edited by Pinhas Alpert and Tatiana Sholokhman, Tel Aviv University, Israel |
| title_full_unstemmed | Factor Separation in the Atmosphere Applications and Future Prospects edited by Pinhas Alpert and Tatiana Sholokhman, Tel Aviv University, Israel |
| title_short | Factor Separation in the Atmosphere |
| title_sort | factor separation in the atmosphere applications and future prospects |
| title_sub | Applications and Future Prospects |
| topic | Mathematisches Modell Atmospheric diffusion / Mathematical models Meteorology / Mathematical methods Factorization (Mathematics) |
| topic_facet | Mathematisches Modell Atmospheric diffusion / Mathematical models Meteorology / Mathematical methods Factorization (Mathematics) |
| url | https://doi.org/10.1017/CBO9780511921414 |
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