A series of numerical experiments have been conducted to compare data assimilation schemes based on optimal "suboptimal# estimation and conventional least squares[ Performance of the schemes is demonstrated on extraction of tidal characteristics from data covering a fraction of a day\ a typical and
Data assimilation and dynamical interpolation in GULFCAST experiments
โ Scribed by Robinson, Allan R.; Spall, Michael A.; Walstad, Leonard J.; Leslie, Wayne G.
- Book ID
- 122079351
- Publisher
- Elsevier Science
- Year
- 1989
- Tongue
- English
- Weight
- 907 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0377-0265
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
The hydrologic data assimilation problem can be posed in a probabilistic framework that emphasizes the need to account for uncertainty when combining different sources of information. This framework indicates where approximations need to be introduced and provides a way to compare alternative data a
New ways of combining observations with numerical models are discussed in which the size of the state space can be very large, and the model can be highly nonlinear. Also the observations of the system can be related to the model variables in highly nonlinear ways, making this data-assimilation (or