Principles of data assimilation:
Data assimilation is theoretically founded on probability, statistics, control theory, information theory, linear algebra, and functional analysis. At the same time, data assimilation is a very practical subject, given its goal of estimating the posterior probability density function in realistic hi...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2022
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| Subjects: | |
| Online Access: | BSB01 BTU01 FHN01 UBM01 Volltext |
| Summary: | Data assimilation is theoretically founded on probability, statistics, control theory, information theory, linear algebra, and functional analysis. At the same time, data assimilation is a very practical subject, given its goal of estimating the posterior probability density function in realistic high-dimensional applications. This puts data assimilation at the intersection between the contrasting requirements of theory and practice. Based on over twenty years of teaching courses in data assimilation, Principles of Data Assimilation introduces a unique perspective that is firmly based on mathematical theories, but also acknowledges practical limitations of the theory. With the inclusion of numerous examples and practical case studies throughout, this new perspective will help students and researchers to competently interpret data assimilation results and to identify critical challenges of developing data assimilation algorithms. The benefit of information theory also introduces new pathways for further development, understanding, and improvement of data assimilation methods |
| Physical Description: | 1 Online-Ressource (xiii, 398 Seiten) |
| ISBN: | 9781108924238 |
| DOI: | 10.1017/9781108924238 |
Staff View
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| author | Park, Seon Ki 1961- Zupanski, Milija 1955- |
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| institution | BVB |
| isbn | 9781108924238 |
| language | English |
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| spelling | Park, Seon Ki 1961- (DE-588)1271654733 aut Principles of data assimilation Seon Ki Park, Ewha Womans University, Milija Zupanski, Colorado State University Cambridge Cambridge University Press 2022 1 Online-Ressource (xiii, 398 Seiten) txt rdacontent c rdamedia cr rdacarrier Data assimilation is theoretically founded on probability, statistics, control theory, information theory, linear algebra, and functional analysis. At the same time, data assimilation is a very practical subject, given its goal of estimating the posterior probability density function in realistic high-dimensional applications. This puts data assimilation at the intersection between the contrasting requirements of theory and practice. Based on over twenty years of teaching courses in data assimilation, Principles of Data Assimilation introduces a unique perspective that is firmly based on mathematical theories, but also acknowledges practical limitations of the theory. With the inclusion of numerous examples and practical case studies throughout, this new perspective will help students and researchers to competently interpret data assimilation results and to identify critical challenges of developing data assimilation algorithms. The benefit of information theory also introduces new pathways for further development, understanding, and improvement of data assimilation methods Meteorology / Data processing Meteorology / Observations Meteorologie (DE-588)4038953-4 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Datenassimilation (DE-588)4803260-8 gnd rswk-swf Wettervorhersage (DE-588)4079256-0 gnd rswk-swf Wettervorhersage (DE-588)4079256-0 s Datenassimilation (DE-588)4803260-8 s Datenverarbeitung (DE-588)4011152-0 s Meteorologie (DE-588)4038953-4 s DE-604 Zupanski, Milija 1955- (DE-588)1271654822 aut Erscheint auch als Druck-Ausgabe 978-1-108-83176-5 https://doi.org/10.1017/9781108924238 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Park, Seon Ki 1961- Zupanski, Milija 1955- Principles of data assimilation Meteorology / Data processing Meteorology / Observations Meteorologie (DE-588)4038953-4 gnd Datenverarbeitung (DE-588)4011152-0 gnd Datenassimilation (DE-588)4803260-8 gnd Wettervorhersage (DE-588)4079256-0 gnd |
| subject_GND | (DE-588)4038953-4 (DE-588)4011152-0 (DE-588)4803260-8 (DE-588)4079256-0 |
| title | Principles of data assimilation |
| title_auth | Principles of data assimilation |
| title_exact_search | Principles of data assimilation |
| title_exact_search_txtP | Principles of data assimilation |
| title_full | Principles of data assimilation Seon Ki Park, Ewha Womans University, Milija Zupanski, Colorado State University |
| title_fullStr | Principles of data assimilation Seon Ki Park, Ewha Womans University, Milija Zupanski, Colorado State University |
| title_full_unstemmed | Principles of data assimilation Seon Ki Park, Ewha Womans University, Milija Zupanski, Colorado State University |
| title_short | Principles of data assimilation |
| title_sort | principles of data assimilation |
| topic | Meteorology / Data processing Meteorology / Observations Meteorologie (DE-588)4038953-4 gnd Datenverarbeitung (DE-588)4011152-0 gnd Datenassimilation (DE-588)4803260-8 gnd Wettervorhersage (DE-588)4079256-0 gnd |
| topic_facet | Meteorology / Data processing Meteorology / Observations Meteorologie Datenverarbeitung Datenassimilation Wettervorhersage |
| url | https://doi.org/10.1017/9781108924238 |
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