## Abstract AROME–France is a convective‐scale numerical weather prediction system running operationally at Météo‐France since the end of 2008. It uses a 3D‐Var assimilation scheme to determine its initial conditions. Climatological background‐error covariances of such a system are calculated using
Flow-dependent background-error covariances for a convective-scale data assimilation system
✍ Scribed by Pierre Brousseau; Loïk Berre; François Bouttier; Gérald Desroziers
- Book ID
- 112183978
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 795 KB
- Volume
- 138
- Category
- Article
- ISSN
- 0035-9009
- DOI
- 10.1002/qj.920
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The background error covariance matrix, B, is often used in variational data assimilation for numerical weather prediction as a static and hence poor approximation to the fully dynamic forecast error covariance matrix, P f . In this paper the concept of an Ensemble Reduced Rank Kalman Filter (EnRRKF