Fast linearized forecasts for subsurface flow data assimilation with ensemble Kalman filter
Journal Article
·
· Computational Geosciences
Not provided.
- Research Organization:
- Texas A & M Univ., College Station, TX (United States). Texas A & M Engineering Experiment Station
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- FG36-08GO18194
- OSTI ID:
- 1533332
- Journal Information:
- Computational Geosciences, Vol. 20, Issue 5; ISSN 1420-0597
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
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