Data Assimilation Fundamentals : A Unified Formulation of the State and Parameter Estimation Problem (Record no. 3022431)

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
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
        E-Books Open Access OPJGU Sonepat- Campus OPJGU Sonepat- Campus 14/07/2022   14/07/2022 14/07/2022 Electronic-Books

O.P. Jindal Global University, Sonepat-Narela Road, Sonepat, Haryana (India) - 131001

Send your feedback to glus@jgu.edu.in

Hosted, Implemented & Customized by: BestBookBuddies   |   Maintained by: Global Library