A wavelet-based filtering of ensemble background-error variances
✍ Scribed by Pannekoucke, Olivier; Raynaud, Laure; Farge, Marie
- Book ID
- 121649377
- Publisher
- John Wiley and Sons
- Year
- 2013
- Tongue
- English
- Weight
- 544 KB
- Volume
- 140
- Category
- Article
- ISSN
- 0035-9009
- DOI
- 10.1002/qj.2133
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📜 SIMILAR VOLUMES
## 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
## 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