Nonlinear and stochastic climate dynamics:
It is now widely recognized that the climate system is governed by nonlinear, multi-scale processes, whereby memory effects and stochastic forcing by fast processes, such as weather and convective systems, can induce regime behavior. Motivated by present difficulties in understanding the climate sys...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Cambridge
Cambridge University Press
2017
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| Online-Zugang: | BSB01 FHN01 UBG01 UBT01 UER01 Volltext |
| Zusammenfassung: | It is now widely recognized that the climate system is governed by nonlinear, multi-scale processes, whereby memory effects and stochastic forcing by fast processes, such as weather and convective systems, can induce regime behavior. Motivated by present difficulties in understanding the climate system and to aid the improvement of numerical weather and climate models, this book gathers contributions from mathematics, physics and climate science to highlight the latest developments and current research questions in nonlinear and stochastic climate dynamics. Leading researchers discuss some of the most challenging and exciting areas of research in the mathematical geosciences, such as the theory of tipping points and of extreme events including spatial extremes, climate networks, data assimilation and dynamical systems. This book provides graduate students and researchers with a broad overview of the physical climate system and introduces powerful data analysis and modeling methods for climate scientists and applied mathematicians |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 31 Jan 2017) |
| Beschreibung: | 1 Online-Ressource (xxxiv, 432 Seiten) |
| ISBN: | 9781316339251 |
| DOI: | 10.1017/9781316339251 |
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| 245 | 1 | 0 | |a Nonlinear and stochastic climate dynamics |c edited by Christian L.E. Franzke, University of Hamburg, Germany and Terence J. O'Kane, CSIRO Oceans and Atmosphere, Hobart, Australia |
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| 520 | |a It is now widely recognized that the climate system is governed by nonlinear, multi-scale processes, whereby memory effects and stochastic forcing by fast processes, such as weather and convective systems, can induce regime behavior. Motivated by present difficulties in understanding the climate system and to aid the improvement of numerical weather and climate models, this book gathers contributions from mathematics, physics and climate science to highlight the latest developments and current research questions in nonlinear and stochastic climate dynamics. Leading researchers discuss some of the most challenging and exciting areas of research in the mathematical geosciences, such as the theory of tipping points and of extreme events including spatial extremes, climate networks, data assimilation and dynamical systems. This book provides graduate students and researchers with a broad overview of the physical climate system and introduces powerful data analysis and modeling methods for climate scientists and applied mathematicians | ||
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Datensatz im Suchindex
| _version_ | 1804177054506156032 |
|---|---|
| any_adam_object | |
| author2 | Franzke, Christian O'Kane, Terence J. |
| author2_role | edt edt |
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| dewey-full | 551.601/51922 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 551 - Geology, hydrology, meteorology |
| dewey-raw | 551.601/51922 |
| dewey-search | 551.601/51922 |
| dewey-sort | 3551.601 551922 |
| dewey-tens | 550 - Earth sciences |
| discipline | Geologie / Paläontologie Physik |
| doi_str_mv | 10.1017/9781316339251 |
| format | Electronic eBook |
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| isbn | 9781316339251 |
| language | English |
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| spelling | Nonlinear and stochastic climate dynamics edited by Christian L.E. Franzke, University of Hamburg, Germany and Terence J. O'Kane, CSIRO Oceans and Atmosphere, Hobart, Australia Cambridge Cambridge University Press 2017 1 Online-Ressource (xxxiv, 432 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 31 Jan 2017) It is now widely recognized that the climate system is governed by nonlinear, multi-scale processes, whereby memory effects and stochastic forcing by fast processes, such as weather and convective systems, can induce regime behavior. Motivated by present difficulties in understanding the climate system and to aid the improvement of numerical weather and climate models, this book gathers contributions from mathematics, physics and climate science to highlight the latest developments and current research questions in nonlinear and stochastic climate dynamics. Leading researchers discuss some of the most challenging and exciting areas of research in the mathematical geosciences, such as the theory of tipping points and of extreme events including spatial extremes, climate networks, data assimilation and dynamical systems. This book provides graduate students and researchers with a broad overview of the physical climate system and introduces powerful data analysis and modeling methods for climate scientists and applied mathematicians Klimaänderung Mathematisches Modell Statistical weather forecasting Weather forecasting Global warming Climatic changes Atmospheric circulation / Mathematical models Dynamische Meteorologie (DE-588)4150921-3 gnd rswk-swf Nichtlineares stochastisches System (DE-588)4445490-9 gnd rswk-swf Klima (DE-588)4031170-3 gnd rswk-swf Klimaänderung (DE-588)4164199-1 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Klima (DE-588)4031170-3 s Klimaänderung (DE-588)4164199-1 s Dynamische Meteorologie (DE-588)4150921-3 s Nichtlineares stochastisches System (DE-588)4445490-9 s 2\p DE-604 Franzke, Christian (DE-588)1050371364 edt O'Kane, Terence J. (DE-588)1126528676 edt Erscheint auch als Druck-Ausgabe 978-1-107-11814-0 https://doi.org/10.1017/9781316339251 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Nonlinear and stochastic climate dynamics Klimaänderung Mathematisches Modell Statistical weather forecasting Weather forecasting Global warming Climatic changes Atmospheric circulation / Mathematical models Dynamische Meteorologie (DE-588)4150921-3 gnd Nichtlineares stochastisches System (DE-588)4445490-9 gnd Klima (DE-588)4031170-3 gnd Klimaänderung (DE-588)4164199-1 gnd |
| subject_GND | (DE-588)4150921-3 (DE-588)4445490-9 (DE-588)4031170-3 (DE-588)4164199-1 (DE-588)4143413-4 |
| title | Nonlinear and stochastic climate dynamics |
| title_auth | Nonlinear and stochastic climate dynamics |
| title_exact_search | Nonlinear and stochastic climate dynamics |
| title_full | Nonlinear and stochastic climate dynamics edited by Christian L.E. Franzke, University of Hamburg, Germany and Terence J. O'Kane, CSIRO Oceans and Atmosphere, Hobart, Australia |
| title_fullStr | Nonlinear and stochastic climate dynamics edited by Christian L.E. Franzke, University of Hamburg, Germany and Terence J. O'Kane, CSIRO Oceans and Atmosphere, Hobart, Australia |
| title_full_unstemmed | Nonlinear and stochastic climate dynamics edited by Christian L.E. Franzke, University of Hamburg, Germany and Terence J. O'Kane, CSIRO Oceans and Atmosphere, Hobart, Australia |
| title_short | Nonlinear and stochastic climate dynamics |
| title_sort | nonlinear and stochastic climate dynamics |
| topic | Klimaänderung Mathematisches Modell Statistical weather forecasting Weather forecasting Global warming Climatic changes Atmospheric circulation / Mathematical models Dynamische Meteorologie (DE-588)4150921-3 gnd Nichtlineares stochastisches System (DE-588)4445490-9 gnd Klima (DE-588)4031170-3 gnd Klimaänderung (DE-588)4164199-1 gnd |
| topic_facet | Klimaänderung Mathematisches Modell Statistical weather forecasting Weather forecasting Global warming Climatic changes Atmospheric circulation / Mathematical models Dynamische Meteorologie Nichtlineares stochastisches System Klima Aufsatzsammlung |
| url | https://doi.org/10.1017/9781316339251 |
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