Data assimilation with correlated observation errors : experiments with a 1-D shallow water model

  title={Data assimilation with correlated observation errors : experiments with a 1-D shallow water model},
  author={Laura F M Stewart and Sarah L. Dance and Nancy K. Nichols},
Remote sensing observations often have correlated errors, but the correlations are typically ignored in data assimilation for numerical weather prediction. The assumption of zero correlations is often used with data thinning methods, resulting in a loss of information. As operational centres move towards higher-resolution forecasting, there is a requirement to retain data providing detail on appropriate scales. Thus an alternative approach to dealing with observation error correlations is… CONTINUE READING
Highly Cited
This paper has 21 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 14 extracted citations

Estimating model error covariances using particle filters

M. Zhu, Peter J. van Leeuwenb, Weimin Zhanga
View 1 Excerpt


Publications referenced by this paper.
Showing 1-10 of 41 references

Accounting for Correlated Observation Error in the ECMWF Analysis

M. Fisher
ECMWF Technical Memoranda, ECMWF, Reading UK, MF/05106. • 2005
View 6 Excerpts
Highly Influenced

Progress towards the Implementation of Correlated Observation Errors in 4D-Var

P. Weston
Forecasting Research Technical Report 560. UK Met Office. Online at: http://www. • 2011
View 4 Excerpts
Highly Influenced

On the Choice of Observation Errors

A. D. Collard
View 4 Excerpts
Highly Influenced

Statistical Methods in the Atmospheric Sciences

D. S. Wilks
Academic Press, San Diego. • 1995
View 3 Excerpts
Highly Influenced

Conditioning and preconditioning of the minimisation problem in variational data assimilation

S. A. Haben
PhD Thesis, University of Reading. Online at: uk/maths-and-stats/research/maths-phdtheses.aspx • 2011
View 1 Excerpt

Conditioning of incremental variational data assimilation, with application to the Met Office system

S. Haben, A. S. Lawless, N. K. Nichols
Tellus A. 63, 782 792. • 2011
View 1 Excerpt

Similar Papers

Loading similar papers…