MARC details
000 -LEADER |
fixed length control field |
03538naaaa2200433uu 4500 |
001 - CONTROL NUMBER |
control field |
https://directory.doabooks.org/handle/20.500.12854/81696 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20220714195339.0 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
978-3-030-96709-3 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783030967093 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-3-030-96709-3 |
Terms of availability |
doi |
041 0# - LANGUAGE CODE |
Language code of text/sound track or separate title |
English |
042 ## - AUTHENTICATION CODE |
Authentication code |
dc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
RB |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
PBT |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
PBTB |
Source |
bicssc |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Evensen, Geir |
Relator code |
auth |
9 (RLIN) |
1285166 |
245 10 - TITLE STATEMENT |
Title |
Data Assimilation Fundamentals : A Unified Formulation of the State and Parameter Estimation Problem |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Cham |
Name of publisher, distributor, etc |
Springer Nature |
Date of publication, distribution, etc |
2022 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 electronic resource (245 p.) |
506 0# - RESTRICTIONS ON ACCESS NOTE |
Terms governing access |
Open Access |
Source of term |
star |
Standardized terminology for access restriction |
Unrestricted online 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. |
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE |
Terms governing use and reproduction |
Creative Commons |
-- |
by/4.0/ |
-- |
cc |
-- |
http://creativecommons.org/licenses/by/4.0/ |
546 ## - LANGUAGE NOTE |
Language note |
English |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Earth sciences |
Source of heading or term |
bicssc |
9 (RLIN) |
72931 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Probability & statistics |
Source of heading or term |
bicssc |
9 (RLIN) |
947505 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Bayesian inference |
Source of heading or term |
bicssc |
9 (RLIN) |
1283605 |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Data Assimilation |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Parameter Estimation |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Ensemble Kalman Filter |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
4DVar |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Representer Method |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Ensemble Methods |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Particle Filter |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Particle Flow |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Vossepoel, Femke C. |
Relator code |
auth |
9 (RLIN) |
1285168 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
van Leeuwen, Peter Jan |
Relator code |
auth |
9 (RLIN) |
1285169 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Host name |
www.oapen.org |
Uniform Resource Identifier |
<a href="https://library.oapen.org/bitstream/20.500.12657/54434/1/978-3-030-96709-3.pdf">https://library.oapen.org/bitstream/20.500.12657/54434/1/978-3-030-96709-3.pdf</a> |
-- |
0 |
Public note |
DOAB: download the publication |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Host name |
www.oapen.org |
Uniform Resource Identifier |
<a href="https://directory.doabooks.org/handle/20.500.12854/81696">https://directory.doabooks.org/handle/20.500.12854/81696</a> |
-- |
0 |
Public note |
DOAB: description of the publication |