Accounting for Location Error in Kalman Filters: Integrating Animal Borne Sensor Data into Assimilation Schemes

Data assimilation is a crucial aspect of modern oceanography. It allows the future forecasting and backward smoothing of ocean state from the noisy observations. Statistical methods are employed to perform these tasks and are often based on or related to the Kalman filter. Typically Kalman filters a...

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Detalles Bibliográficos
Autores principales: Sengupta, Aritra, Foster, Scott D., Patterson, Toby A., Bravington, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416853/
https://www.ncbi.nlm.nih.gov/pubmed/22900005
http://dx.doi.org/10.1371/journal.pone.0042093

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416853/
https://www.ncbi.nlm.nih.gov/pubmed/22900005
http://dx.doi.org/10.1371/journal.pone.0042093

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