Data Assimilation: The Ensemble Kalman Filter
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Data can be assimilated in theory-based models for improved selection of model states in numerical models.
“Data can be assimilated in theory-based models for improved selection of model states in numerical models.”
From Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2017) · cites this paper as [74]
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Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
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- Authors
- Evensen, G.
- Affiliations
- IMT Atlantique (FR)
- Corresponding author
- Evensen, Geir
- ORCID
- Evensen, Geir
- Venue
- Springer eBooks
- Publisher
- Springer Berlin Heidelberg
- Published
- 2009
- OpenAlex
- W4231204432
- Cited by
- 1,180
- References
- 0
- Citations by year
- 2026: 81 · 2025: 67 · 2024: 82 · 2023: 93 · 2022: 118 · 2021: 128 · 2020: 91 · 2019: 87 · 2018: 87 · 2017: 65 · 2016: 66 · 2015: 54 · 2014: 46 · 2013: 43 · 2012: 25
- FWCI
- 27.01
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Physical Sciences › Computer Science › Artificial Intelligence › Target Tracking and Data Fusion in Sensor Networks
- Keywords
- data assimilation, inverse method, state estimation, parameter estimation
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