## Abstract It is common to compute background‐error variances from an ensemble of forecasts, in order to calculate either climatological or flow‐dependent estimates. However, the finite size of the ensemble induces a sampling noise, which degrades the accuracy of the variance estimation. An ideali
✦ LIBER ✦
Heterogeneous filtering of ensemble-based background-error variances
✍ Scribed by Laure Raynaud; Olivier Pannekoucke
- Book ID
- 112183916
- Publisher
- John Wiley and Sons
- Year
- 2012
- Tongue
- English
- Weight
- 335 KB
- Volume
- 138
- Category
- Article
- ISSN
- 0035-9009
- DOI
- 10.1002/qj.1890
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## Abstract This paper studies the sensitivity of global ocean analyses to two flow‐dependent formulations of the background‐error standard deviations (σ^b^) for temperature and salinity in a three‐dimensional variational data assimilation (3D‐Var) system. The first formulation is based on an empir