## Abstract Data assimilation schemes are confronted with the presence of model errors arising from the imperfect description of atmospheric dynamics. These errors are usually modelled on the basis of simple assumptions such as bias, white noise, and first‐order Markov process. In the present work,
✦ LIBER ✦
Error covariance modeling in sequential data assimilation
✍ Scribed by J. Sénégas; H. Wackernagel; W. Rosenthal; T. Wolf
- Book ID
- 105746853
- Publisher
- Springer
- Year
- 2001
- Tongue
- English
- Weight
- 238 KB
- Volume
- 15
- Category
- Article
- ISSN
- 1436-3240
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