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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| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, United Kingdom ; New York, NY, USA :
Cambridge University Press,
2017.
|
| Schlagworte: | |
| Online-Zugang: | 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: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781316884201 1316884201 9781316339251 1316339254 |
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| 245 | 0 | 0 | |a Nonlinear and stochastic climate dynamics / |c edited by Christian L.E. Franzke, University of Hamburg, Germany, and Terence J. O'Kane, Marine and Atmospheric Research, CSIRO, Australia. |
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| 504 | |a Includes bibliographical references and index. | ||
| 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. | ||
| 505 | 0 | 0 | |g Machine generated contents note: |g 1. |t Challenges for Ice Age Dynamics: A Dynamical Systems Perspective / |r Takahito Mitsui -- |g 2. |t Tipping Points in the Climate System / |r Peter Ditlevsen -- |g 3. |t Atmospheric Teleconnection Patterns / |r Christian L.E. Franzke -- |g 4. |t Atmospheric Regimes: The Link between Weather and the Large-Scale Circulation / |r Susanna Corti -- |g 5. |t Low-Frequency Regime Transitions and Predictability of Regimes in a Barotropic Model / |r Terence J. O'Kane -- |g 6. |t Complex Network Techniques for Climatological Data Analysis / |r Jonathan F. Donges -- |g 7. |t On Inference and Validation of Causality Relations in Climate Teleconnections / |r Didier P. Monselesan -- |g 8. |t Stochastic Climate Theory / |r Christian L.E. Franzke -- |g 9. |t Stochastic Subgrid Modelling for Geophysical and Three-Dimensional Turbulence / |r Meelis J. Zidikheri -- |g 10. |t Model Error in Data Assimilation / |r John Harlim -- |g 11. |t Long-Term Memory in Climate: Detection, Extreme Events, and Significance of Trends / |r Josef Ludescher -- |g 12. |t Fractional Stochastic Models for Heavy Tailed, and Long-Range Dependent, Fluctuations in Physical Systems / |r Nicholas W. Watkins -- |g 13. |t Modelling Spatial Extremes Using Max-Stable Processes / |r Mathieu Ribatet -- |g 14. |t Extreme Value Analysis in Dynamical Systems: Two Case Studies / |r Tamas Bodai. |
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| 650 | 0 | |a Global warming. |0 http://id.loc.gov/authorities/subjects/sh89000812 | |
| 650 | 0 | |a Climatic changes. | |
| 650 | 0 | |a Atmospheric circulation |x Mathematical models. | |
| 650 | 2 | |a Global Warming |0 https://id.nlm.nih.gov/mesh/D057232 | |
| 650 | 2 | |a Climate Change |0 https://id.nlm.nih.gov/mesh/D057231 | |
| 650 | 6 | |a Temps (Météorologie) |x Prévision statistique. | |
| 650 | 6 | |a Temps (Météorologie) |x Prévision. | |
| 650 | 6 | |a Réchauffement de la Terre. | |
| 650 | 6 | |a Climat |x Changements. | |
| 650 | 6 | |a Circulation atmosphérique |x Modèles mathématiques. | |
| 650 | 7 | |a global warming. |2 aat | |
| 650 | 7 | |a climate change. |2 aat | |
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| 655 | 0 | |a Electronic books. | |
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| 700 | 1 | |a Franzke, Christian L. E., |e editor. |0 http://id.loc.gov/authorities/names/n2016054192 | |
| 700 | 1 | |a O'Kane, Terence J., |e editor. |0 http://id.loc.gov/authorities/names/n2016054194 | |
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Datensatz im Suchindex
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|---|---|
| _version_ | 1816882375413465088 |
| adam_text | |
| any_adam_object | |
| author2 | Franzke, Christian L. E. O'Kane, Terence J. |
| author2_role | edt edt |
| author2_variant | c l e f cle clef t j o tj tjo |
| author_GND | http://id.loc.gov/authorities/names/n2016054192 http://id.loc.gov/authorities/names/n2016054194 |
| author_additional | Takahito Mitsui -- Peter Ditlevsen -- Christian L.E. Franzke -- Susanna Corti -- Terence J. O'Kane -- Jonathan F. Donges -- Didier P. Monselesan -- Meelis J. Zidikheri -- John Harlim -- Josef Ludescher -- Nicholas W. Watkins -- Mathieu Ribatet -- Tamas Bodai. |
| author_facet | Franzke, Christian L. E. O'Kane, Terence J. |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QC996 |
| callnumber-raw | QC996.5 .N66 2017eb |
| callnumber-search | QC996.5 .N66 2017eb |
| callnumber-sort | QC 3996.5 N66 42017EB |
| callnumber-subject | QC - Physics |
| collection | ZDB-4-EBA |
| contents | Challenges for Ice Age Dynamics: A Dynamical Systems Perspective / Tipping Points in the Climate System / Atmospheric Teleconnection Patterns / Atmospheric Regimes: The Link between Weather and the Large-Scale Circulation / Low-Frequency Regime Transitions and Predictability of Regimes in a Barotropic Model / Complex Network Techniques for Climatological Data Analysis / On Inference and Validation of Causality Relations in Climate Teleconnections / Stochastic Climate Theory / Stochastic Subgrid Modelling for Geophysical and Three-Dimensional Turbulence / Model Error in Data Assimilation / Long-Term Memory in Climate: Detection, Extreme Events, and Significance of Trends / Fractional Stochastic Models for Heavy Tailed, and Long-Range Dependent, Fluctuations in Physical Systems / Modelling Spatial Extremes Using Max-Stable Processes / Extreme Value Analysis in Dynamical Systems: Two Case Studies / |
| ctrlnum | (OCoLC)968212036 |
| 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 |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-4-EBA-ocn968212036 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:27:37Z |
| institution | BVB |
| isbn | 9781316884201 1316884201 9781316339251 1316339254 |
| language | English |
| oclc_num | 968212036 |
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| physical | 1 online resource |
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| publishDate | 2017 |
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| publisher | Cambridge University Press, |
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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, Marine and Atmospheric Research, CSIRO, Australia. Cambridge, United Kingdom ; New York, NY, USA : Cambridge University Press, 2017. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. Includes bibliographical references and index. 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. Machine generated contents note: 1. Challenges for Ice Age Dynamics: A Dynamical Systems Perspective / Takahito Mitsui -- 2. Tipping Points in the Climate System / Peter Ditlevsen -- 3. Atmospheric Teleconnection Patterns / Christian L.E. Franzke -- 4. Atmospheric Regimes: The Link between Weather and the Large-Scale Circulation / Susanna Corti -- 5. Low-Frequency Regime Transitions and Predictability of Regimes in a Barotropic Model / Terence J. O'Kane -- 6. Complex Network Techniques for Climatological Data Analysis / Jonathan F. Donges -- 7. On Inference and Validation of Causality Relations in Climate Teleconnections / Didier P. Monselesan -- 8. Stochastic Climate Theory / Christian L.E. Franzke -- 9. Stochastic Subgrid Modelling for Geophysical and Three-Dimensional Turbulence / Meelis J. Zidikheri -- 10. Model Error in Data Assimilation / John Harlim -- 11. Long-Term Memory in Climate: Detection, Extreme Events, and Significance of Trends / Josef Ludescher -- 12. Fractional Stochastic Models for Heavy Tailed, and Long-Range Dependent, Fluctuations in Physical Systems / Nicholas W. Watkins -- 13. Modelling Spatial Extremes Using Max-Stable Processes / Mathieu Ribatet -- 14. Extreme Value Analysis in Dynamical Systems: Two Case Studies / Tamas Bodai. Statistical weather forecasting. http://id.loc.gov/authorities/subjects/sh85127578 Weather forecasting. http://id.loc.gov/authorities/subjects/sh85145853 Global warming. http://id.loc.gov/authorities/subjects/sh89000812 Climatic changes. Atmospheric circulation Mathematical models. Global Warming https://id.nlm.nih.gov/mesh/D057232 Climate Change https://id.nlm.nih.gov/mesh/D057231 Temps (Météorologie) Prévision statistique. Temps (Météorologie) Prévision. Réchauffement de la Terre. Climat Changements. Circulation atmosphérique Modèles mathématiques. global warming. aat climate change. aat SCIENCE Earth Sciences Geography. bisacsh SCIENCE Earth Sciences Geology. bisacsh Atmospheric circulation Mathematical models fast Climatic changes fast Global warming fast Statistical weather forecasting fast Weather forecasting fast Electronic books. Franzke, Christian L. E., editor. http://id.loc.gov/authorities/names/n2016054192 O'Kane, Terence J., editor. http://id.loc.gov/authorities/names/n2016054194 has work: Nonlinear and stochastic climate dynamics (Text) https://id.oclc.org/worldcat/entity/E39PCGXgVg8DYCg7bHpKFBwCFC https://id.oclc.org/worldcat/ontology/hasWork Print version: Nonlinear and stochastic climate dynamics. Cambridge, United Kingdom ; New York, NY, USA : Cambridge University Press, 2017 9781107118140 (DLC) 2016045370 (OCoLC)959922710 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1433586 Volltext |
| spellingShingle | Nonlinear and stochastic climate dynamics / Challenges for Ice Age Dynamics: A Dynamical Systems Perspective / Tipping Points in the Climate System / Atmospheric Teleconnection Patterns / Atmospheric Regimes: The Link between Weather and the Large-Scale Circulation / Low-Frequency Regime Transitions and Predictability of Regimes in a Barotropic Model / Complex Network Techniques for Climatological Data Analysis / On Inference and Validation of Causality Relations in Climate Teleconnections / Stochastic Climate Theory / Stochastic Subgrid Modelling for Geophysical and Three-Dimensional Turbulence / Model Error in Data Assimilation / Long-Term Memory in Climate: Detection, Extreme Events, and Significance of Trends / Fractional Stochastic Models for Heavy Tailed, and Long-Range Dependent, Fluctuations in Physical Systems / Modelling Spatial Extremes Using Max-Stable Processes / Extreme Value Analysis in Dynamical Systems: Two Case Studies / Statistical weather forecasting. http://id.loc.gov/authorities/subjects/sh85127578 Weather forecasting. http://id.loc.gov/authorities/subjects/sh85145853 Global warming. http://id.loc.gov/authorities/subjects/sh89000812 Climatic changes. Atmospheric circulation Mathematical models. Global Warming https://id.nlm.nih.gov/mesh/D057232 Climate Change https://id.nlm.nih.gov/mesh/D057231 Temps (Météorologie) Prévision statistique. Temps (Météorologie) Prévision. Réchauffement de la Terre. Climat Changements. Circulation atmosphérique Modèles mathématiques. global warming. aat climate change. aat SCIENCE Earth Sciences Geography. bisacsh SCIENCE Earth Sciences Geology. bisacsh Atmospheric circulation Mathematical models fast Climatic changes fast Global warming fast Statistical weather forecasting fast Weather forecasting fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85127578 http://id.loc.gov/authorities/subjects/sh85145853 http://id.loc.gov/authorities/subjects/sh89000812 https://id.nlm.nih.gov/mesh/D057232 https://id.nlm.nih.gov/mesh/D057231 |
| title | Nonlinear and stochastic climate dynamics / |
| title_alt | Challenges for Ice Age Dynamics: A Dynamical Systems Perspective / Tipping Points in the Climate System / Atmospheric Teleconnection Patterns / Atmospheric Regimes: The Link between Weather and the Large-Scale Circulation / Low-Frequency Regime Transitions and Predictability of Regimes in a Barotropic Model / Complex Network Techniques for Climatological Data Analysis / On Inference and Validation of Causality Relations in Climate Teleconnections / Stochastic Climate Theory / Stochastic Subgrid Modelling for Geophysical and Three-Dimensional Turbulence / Model Error in Data Assimilation / Long-Term Memory in Climate: Detection, Extreme Events, and Significance of Trends / Fractional Stochastic Models for Heavy Tailed, and Long-Range Dependent, Fluctuations in Physical Systems / Modelling Spatial Extremes Using Max-Stable Processes / Extreme Value Analysis in Dynamical Systems: Two Case Studies / |
| 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, Marine and Atmospheric Research, CSIRO, Australia. |
| title_fullStr | Nonlinear and stochastic climate dynamics / edited by Christian L.E. Franzke, University of Hamburg, Germany, and Terence J. O'Kane, Marine and Atmospheric Research, CSIRO, Australia. |
| title_full_unstemmed | Nonlinear and stochastic climate dynamics / edited by Christian L.E. Franzke, University of Hamburg, Germany, and Terence J. O'Kane, Marine and Atmospheric Research, CSIRO, Australia. |
| title_short | Nonlinear and stochastic climate dynamics / |
| title_sort | nonlinear and stochastic climate dynamics |
| topic | Statistical weather forecasting. http://id.loc.gov/authorities/subjects/sh85127578 Weather forecasting. http://id.loc.gov/authorities/subjects/sh85145853 Global warming. http://id.loc.gov/authorities/subjects/sh89000812 Climatic changes. Atmospheric circulation Mathematical models. Global Warming https://id.nlm.nih.gov/mesh/D057232 Climate Change https://id.nlm.nih.gov/mesh/D057231 Temps (Météorologie) Prévision statistique. Temps (Météorologie) Prévision. Réchauffement de la Terre. Climat Changements. Circulation atmosphérique Modèles mathématiques. global warming. aat climate change. aat SCIENCE Earth Sciences Geography. bisacsh SCIENCE Earth Sciences Geology. bisacsh Atmospheric circulation Mathematical models fast Climatic changes fast Global warming fast Statistical weather forecasting fast Weather forecasting fast |
| topic_facet | Statistical weather forecasting. Weather forecasting. Global warming. Climatic changes. Atmospheric circulation Mathematical models. Global Warming Climate Change Temps (Météorologie) Prévision statistique. Temps (Météorologie) Prévision. Réchauffement de la Terre. Climat Changements. Circulation atmosphérique Modèles mathématiques. global warming. climate change. SCIENCE Earth Sciences Geography. SCIENCE Earth Sciences Geology. Atmospheric circulation Mathematical models Climatic changes Global warming Statistical weather forecasting Weather forecasting Electronic books. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1433586 |
| work_keys_str_mv | AT franzkechristianle nonlinearandstochasticclimatedynamics AT okaneterencej nonlinearandstochasticclimatedynamics |