Data assimilation fundamentals (Record no. 51047)
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| 000 -LEADER | |
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| fixed length control field | 05383nam a22006135i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-96709-3 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220929150446.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220422s2022 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030967093 |
| Local codes | 978-3-030-96709-3 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-96709-3 |
| Source of number or code | doi |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | RB |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | SCI019000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | RB |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 550 |
| Edition number | 23 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 910.02 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Evensen, Geir. |
| 9 (RLIN) | 112073 |
| 245 10 - TITLE STATEMENT | |
| Title | Data assimilation fundamentals |
| Medium | [electronic resource] : |
| Remainder of title | a unified formulation of the state and parameter estimation problem / |
| Statement of responsibility, etc. | by Geir Evensen, Femke C. Vossepoel, Peter Jan van Leeuwen. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2022. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XIX, 245 p. 63 illus., 62 illus. in color. |
| Other physical details | online resource. |
| 336 ## - CONTENT TYPE | |
| Content type code | txt |
| 337 ## - MEDIA TYPE | |
| Media type code | c |
| 338 ## - CARRIER TYPE | |
| Carrier type code | cr |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Springer Textbooks in Earth Sciences, Geography and Environment, |
| International Standard Serial Number | 2510-1315 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction -- Part I Mathematical Formulation: Problem formulation -- Maximum a posteriori solution -- Strong-constraint 4DVar -- Weak constraint 4DVar -- Kalman filters and 3DVar -- Randomized-maximum-likelihood sampling -- Low-rank ensemble methods -- Fully nonlinear data assimilation -- Localization and inflation -- Methods' summary -- Part II Examples and Applications: A Kalman filter with the Roessler model -- Linear EnKF update -- EnKF for an advection equation -- EnKF with the Lorenz equations -- 3Dvar and SC-4DVar for the Lorenz 63 model -- Representer method with an Ekman-flow model -- Comparison of methods on a scalar model -- Particle filter for seismic-cycle estimation -- Particle flow for a quasi-geostrophic model -- EnRML for history matching petroleum models -- ESMDA with a SARS-COV-2 pandemic model -- Final summary -- References -- Index. . |
| 506 0# - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Open Access |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This open-access textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental and optimal starting point, namely Bayes' theorem. Unique for this book is the "top-down" derivation of the assimilation methods. It starts from Bayes theorem and gradually introduces the assumptions and approximations needed to arrive at today's popular data-assimilation methods. This strategy is the opposite of most textbooks and reviews on data assimilation that typically take a bottom-up approach to derive a particular assimilation method. E.g., the derivation of the Kalman Filter from control theory and the derivation of the ensemble Kalman Filter as a low-rank approximation of the standard Kalman Filter. The bottom-up approach derives the assimilation methods from different mathematical principles, making it difficult to compare them. Thus, it is unclear which assumptions are made to derive an assimilation method and sometimes even which problem it aspires to solve. The book's top-down approach allows categorizing data-assimilation methods based on the approximations used. This approach enables the user to choose the most suitable method for a particular problem or application. Have you ever wondered about the difference between the ensemble 4DVar and the "ensemble randomized likelihood" (EnRML) methods? Do you know the differences between the ensemble smoother and the ensemble-Kalman smoother? Would you like to understand how a particle flow is related to a particle filter? In this book, we will provide clear answers to several such questions. The book provides the basis for an advanced course in data assimilation. It focuses on the unified derivation of the methods and illustrates their properties on multiple examples. It is suitable for graduate students, post-docs, scientists, and practitioners working in data assimilation. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Physical geography. |
| 9 (RLIN) | 110821 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Statistics . |
| 9 (RLIN) | 107603 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Sampling (Statistics). |
| 9 (RLIN) | 111449 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Earth System Sciences. |
| 9 (RLIN) | 110823 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Applied Statistics. |
| 9 (RLIN) | 112074 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Methodology of Data Collection and Processing. |
| 9 (RLIN) | 111454 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Bayesian Inference. |
| 9 (RLIN) | 111338 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Vossepoel, Femke C. |
| 9 (RLIN) | 112075 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | van Leeuwen, Peter Jan. |
| 9 (RLIN) | 112076 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 107205 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030967086 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030967109 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030967116 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Springer Textbooks in Earth Sciences, Geography and Environment, |
| International Standard Serial Number | 2510-1315 |
| 9 (RLIN) | 112077 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Link text | Link to Springer open access ebook |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-96709-3">https://doi.org/10.1007/978-3-030-96709-3</a> |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Link text | Send a message to library staff if access to this online resource is unavailable |
| Uniform Resource Identifier | <a href="https://tinyurl.com/52eeu77j">https://tinyurl.com/52eeu77j</a> |
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