The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Assimilation of Observations, an Introduction (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice)
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Cites
A New Approach to Linear Filtering and Prediction Problems
Kalman, R. E. (1960) · Journal of Basic Engineering · doi:10.1115/1.3662552 · Cited by 31,751
Evensen, G. (1994) · Journal of Geophysical Research: Oceans · doi:10.1029/94jc00572 · Cited by 5,371
Spline Models for Observational Data
Wahba, G. (1990) · doi:10.1137/1.9781611970128 · Cited by 4,184
Cited by
Digital twin: values, challenges and enablers from a modeling perspective
Rasheed, A., San, O., & Kvamsdal, T. (2020) · IEEE Access · doi:10.1109/access.2020.2970143 · Cited by 1,952
Data assimilation in the geosciences: An overview of methods, issues, and perspectives
Carrassi, A., Bocquet, M., Bertino, L., & Evensen, G. (2018) · WIREs Climate Change · doi:10.1002/wcc.535 · Cited by 867
Kaplan, A., Kushnir, Y., Cane, M. A., & Blumenthal, M. B. (1997) · Journal of Geophysical Research: Oceans · doi:10.1029/97jc01734 · Cited by 271
Metadata
- Authors
- Talagrand, O.
- Venue
- Journal of the Meteorological Society of Japan. Ser. II
- Published
- 1997
- Volume
- 75
- Issue
- 1B
- Pages
- 191-209
- ISSN
- 0026-1165 (ISSN-L)
- 2186-9057
- OpenAlex
- W2510000870
- Cited by
- 480
- References
- 3
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Assimilation of Observations, an Introduction (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice). https://app.cochat.ai/papers/10.2151/jmsj1965.75.1b_191
- The paper
- Talagrand, O. (1997). Assimilation of Observations, an Introduction (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice). Journal of the Meteorological Society of Japan. Ser. II. https://doi.org/10.2151/jmsj1965.75.1b_191
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.