The conditioning of least-squares problems in variational data assimilation
Author:
Affiliation:
1. Department of Mathematics and Statistics; University of Reading; UK
2. NCEO; Reading; UK
3. Department of Meteorology; University of Reading; UK
4. Mathematical Institute, University of Oxford; UK
Funder
UK Engineering and Physical Sciences Research Council Centre for Doctoral Training in Mathematics of Planet Earth
UK Natural Environmental Sciences Research Council Flooding from Intense Rainfall programme
EPSRC DARE
Publisher
Wiley
Subject
Applied Mathematics,Algebra and Number Theory
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/nla.2165/fullpdf
Reference56 articles.
1. Error Statistics in Data Assimilation: Estimation and Modelling
2. On the representation error in data assimilation;Janjić;QJR Meteorol Soc,2017
3. Weston P Progress towards the implementation of correlated observation errors in 4D-Var. UK Met Office, Exeter 2011
4. The benefits of correlated observation errors for small scales;Rainwater;QJR Meteorol Soc,2015
5. Correlated observation errors in data assimilation;Stewart;Int J Numer Methods,2008
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