The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Particle Filtering in Geophysical Systems
Open accessAbstract
The application of particle filters in geophysical systems is reviewed. Some background on Bayesian filtering is provided, and the existing methods are discussed. The emphasis is on the methodology, and not so much on the applications themselves. It is shown that direct application of the basic particle filter (i.e., importance sampling using the prior as the importance density) does not work in high-dimensional systems, but several variants are shown to have potential. Approximations to the full problem that try to keep some aspects of the particle filter beyond the Gaussian approximation are also presented and discussed.
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Citations
Cites
Metropolis, N., & Ulam, S. (1949) · Journal of the American Statistical Association · doi:10.1080/01621459.1949.10483310 · Cited by 6,474
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
Cited by
Estimating Model Parameters with Ensemble-Based Data Assimilation: A Review
RUIZ, J. J., PULIDO, M., & MIYOSHI, T. (2013) · Journal of the Meteorological Society of Japan. Ser. II · doi:10.2151/jmsj.2013-201 · Cited by 145
Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning
Hammoud, M. A. E. R., Raboudi, N., Titi, E. S., Knio, O., & Hoteit, I. (2024) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2023ms004178 · Cited by 11
Metadata
- Authors
- van Leeuwen, P. J.
- Venue
- Monthly Weather Review
- Publisher
- American Meteorological Society
- Published
- 2009-12-01
- Volume
- 137
- Issue
- 12
- Pages
- 4089-4114
- ISSN
- 0027-0644 (ISSN-L)
- 1520-0493
- OpenAlex
- W2001250891
- Cited by
- 678
- References
- 3
- FWCI
- 19.77
- Type
- journal article
- Language
- en
- Open access
- bronze
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