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...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York
Cambridge University Press
2022
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| Schlagworte: | |
| Zusammenfassung: | 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. |
| Beschreibung: | xiii, 398 Seiten Diagramme |
| ISBN: | 9781108831765 1108831761 |
Internformat
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| 520 | 3 | |a 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. | |
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Datensatz im Suchindex
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| author | Park, Seon Ki 1961- Zupanski, Milija 1955- |
| author_GND | (DE-588)1271654733 (DE-588)1271654822 |
| author_facet | Park, Seon Ki 1961- Zupanski, Milija 1955- |
| author_role | aut aut |
| author_sort | Park, Seon Ki 1961- |
| author_variant | s k p sk skp m z mz |
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| bvnumber | BV048483573 |
| classification_rvk | UT 6210 SK 990 |
| ctrlnum | (OCoLC)1346095008 (DE-599)BVBBV048483573 |
| discipline | Physik Mathematik |
| discipline_str_mv | Physik Mathematik |
| format | Book |
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| id | DE-604.BV048483573 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T20:39:42Z |
| indexdate | 2024-07-10T09:39:22Z |
| institution | BVB |
| isbn | 9781108831765 1108831761 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033861184 |
| oclc_num | 1346095008 |
| open_access_boolean | |
| owner | DE-188 DE-945 |
| owner_facet | DE-188 DE-945 |
| physical | xiii, 398 Seiten Diagramme |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Park, Seon Ki 1961- Verfasser (DE-588)1271654733 aut Principles of data assimilation Seon Ki Park, Ewha Womans University, Milija Zupanski, Colorado State University New York Cambridge University Press 2022 xiii, 398 Seiten Diagramme txt rdacontent n rdamedia nc 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. Meteorologie (DE-588)4038953-4 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Wettervorhersage (DE-588)4079256-0 gnd rswk-swf Datenassimilation (DE-588)4803260-8 gnd rswk-swf Meteorologische Datenassimilation Wettervorhersagemodell Meteorology / Data processing Meteorology / Observations Meteorology Observations 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- Verfasser (DE-588)1271654822 aut Erscheint auch als Online-Ausgabe Park, Seon Ki, 1961- Principles of data assimilation New York : Cambridge University Press, 2022 978-1-108-92423-8 |
| spellingShingle | Park, Seon Ki 1961- Zupanski, Milija 1955- Principles of data assimilation Meteorologie (DE-588)4038953-4 gnd Datenverarbeitung (DE-588)4011152-0 gnd Wettervorhersage (DE-588)4079256-0 gnd Datenassimilation (DE-588)4803260-8 gnd |
| subject_GND | (DE-588)4038953-4 (DE-588)4011152-0 (DE-588)4079256-0 (DE-588)4803260-8 |
| 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 | Meteorologie (DE-588)4038953-4 gnd Datenverarbeitung (DE-588)4011152-0 gnd Wettervorhersage (DE-588)4079256-0 gnd Datenassimilation (DE-588)4803260-8 gnd |
| topic_facet | Meteorologie Datenverarbeitung Wettervorhersage Datenassimilation |
| work_keys_str_mv | AT parkseonki principlesofdataassimilation AT zupanskimilija principlesofdataassimilation |