Journal article icon

Journal article

The conditioning of least-squares problems in variational data assimilation

Abstract:

In variational data assimilation a least-squares objective function is minimised to obtain the most likely state of a dynamical system. This objective function combines observation and prior (or background) data weighted by their respective error statistics. In numerical weather prediction, data assimilation is used to estimate the current atmospheric state, which then serves as an initial condition for a forecast. New developments in the treatment of observation uncertainties have recently b...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Publisher copy:
10.1002/nla.2165

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More from this funder
Name:
Natural Environmental Sciences Research Council
Grant:
NE/K008900/1
More from this funder
Name:
Engineering and Physical Sciences Research Council
Grant:
EP/P002331/1
Publisher:
Wiley
Journal:
Numerical Linear Algebra with Applications More from this journal
Volume:
25
Issue:
5
Article number:
e2165
Publication date:
2018-02-23
Acceptance date:
2018-01-15
DOI:
EISSN:
1099-1506
ISSN:
1070-5325
Keywords:
Pubs id:
pubs:827451
UUID:
uuid:e76e2164-839b-4d1a-9998-59beb56f80df
Local pid:
pubs:827451
Source identifiers:
827451
Deposit date:
2018-05-18

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP