The DOI matches its OpenAlex record; 2 of the 2 references it cites were found in a registry or an index.
Four-dimensional ensemble Kalman filtering
Open accessAbstract
Ensemble Kalman filteringwas developed as away to assimilate observed data to track the current state in a computational model. In this paper we showthat the ensemble approach makes possible an additional benefit: the timing of observations, whether they occur at the assimilation time or at some earlier or later time, can be effectively accounted for at low computational expense. In the case of linear dynamics, the technique is equivalent to instantaneously assimilating data as they are measured. The results of numerical tests of the technique on a simple model problem are shown.
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Citations
Cites
Evensen, G. (1994) · Journal of Geophysical Research: Oceans · doi:10.1029/94jc00572 · Cited by 5,371
Atmospheric Modeling, Data Assimilation and Predictability
Kalnay, E. (2002) · doi:10.1017/cbo9780511802270 · Cited by 3,391
Self-citation
Cited by
Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter
Hunt, B. R., Kostelich, E. J., & Szunyogh, I. (2007) · Physica D: Nonlinear Phenomena · doi:10.1016/j.physd.2006.11.008 · Cited by 1,742
Self-citationData 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
Review of the Ensemble Kalman Filter for Atmospheric Data Assimilation
Houtekamer, P. L., & Zhang, F. (2016) · Monthly Weather Review · doi:10.1175/mwr-d-15-0440.1 · Cited by 674
Houtekamer, P. L., & Mitchell, H. L. (2005) · Quarterly Journal of the Royal Meteorological Society · doi:10.1256/qj.05.135 · Cited by 419
Clayton, A. M., Lorenc, A. C., & Barker, D. M. (2013) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.2054 · Cited by 377
Metadata
- Authors
- Hunt, B. R., Kalnay, E., Kostelich, E. J., Ott, E., Patil, D. J., SAUER, T. D., Szunyogh, I., Yorke, J. A., & Zimin, A. V.
- Venue
- Tellus A Dynamic Meteorology and Oceanography
- Publisher
- Wiley
- Published
- 2004-01-01
- Volume
- 56
- Issue
- 4
- Pages
- 273-273
- ISSN
- 0280-6495 (ISSN-L)
- OpenAlex
- W2168102396
- Cited by
- 253
- References
- 2
- FWCI
- 5.89
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- The paper
- Hunt, B. R., Kalnay, E., Kostelich, E. J., Ott, E., Patil, D. J., SAUER, T. D., Szunyogh, I., Yorke, J. A., & Zimin, A. V. (2004). Four-dimensional ensemble Kalman filtering. Tellus A Dynamic Meteorology and Oceanography. https://doi.org/10.1111/j.1600-0870.2004.00066.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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