Output details
14 - Civil and Construction Engineering
University of Strathclyde
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Article title
On analysis error covariances in variational data assimilation
Type
D - Journal article
Title of journal
SIAM Journal on Scientific Computing
Article number
-
Volume number
30
Issue number
4
First page of article
1847
ISSN of journal
1064-8275
Year of publication
2008
URL
-
Number of additional authors
2
Additional information
This paper clarifies theoretical issues in data assimilation. The computational algorithms which follow from this theortical understanding from this research led to Gejadze's NERC Advanced Fellowship (NE/J018201/1) where the research will be applied within the framework of the NEMO ocean model, with the UK Met Office, to improve global predictions of ocean flow, temperature, salinity. This will "give insights into how to construct and make best use of ensembles of model forecasts and, therefore, considerably improve the quality of the forecasts." (Mike Bell, National Centre for Ocean Forecasting, mike.bell@metoffice.gov.uk)
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Department of Civil and Environmental Engineering
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
