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A Bayesian approach to Lagrangian data assimilation

Published:2008-01 Issue:2 Volume:60 Page:336-347
ISSN:1600-0870
Container-title:Tellus A: Dynamic Meteorology and Oceanography
language:en
Short-container-title:Tellus A: Dynamic Meteorology and Oceanography

Author:

Apte A.¹,Jones C. K. R. T.²,Stuart A. M.³

Affiliation:

1. Centre for Applicable Mathematics, Tata Institute of Fundamental Research, Bangalore, India;

2. Department of Mathematics, University of North Carolina, Chapel Hill, NC 27599, USA;

3. Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK

Publisher

Informa UK Limited

Subject

Atmospheric Science,Oceanography

Link

https://www.tandfonline.com/doi/pdf/10.1111/j.1600-0870.2007.00295.x

Reference17 articles.

1. Sampling the posterior: An approach to non-Gaussian data assimilation

2. Apte, A., Jones, C. K. R. T., Stuart, A. M. and Voss, J. 2008. Ensemble data assimilation. Int. J. Numer Methods Fluids, in press.

3. An Adaptive Version for the Metropolis Adjusted Langevin Algorithm with a Truncated Drift

4. On adaptive Markov chain Monte Carlo algorithms

5. Assimilation of Lagrangian data into a numerical model

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