ICTS:32479

Data assimilation: theory and practice

(2025). Data assimilation: theory and practice. SciVideos. https://scivideos.org/icts-tifr/32479

Data assimilation: theory and practice. SciVideos, Aug. 07, 2025, https://scivideos.org/icts-tifr/32479 

          @misc{ scivideos_ICTS:32479,
            doi = {},
            url = {https://scivideos.org/icts-tifr/32479},
            author = {},
            keywords = {},
            language = {en},
            title = {Data assimilation: theory and practice},
            publisher = {},
            year = {2025},
            month = {aug},
            note = {ICTS:32479 see, \url{https://scivideos.org/icts-tifr/32479}}
          }
Amit Apte
Talk numberICTS:32479
Source RepositoryICTS-TIFR

Abstract

Data assimilation is a set of methods for incorporating sparse observations of a complex dynamical system, either deterministic or stochastic, into incomplete models of these systems. Mathematically this is the problem of nonlinear filtering and computationally, they are based on a variety of techniques including Markov chain Monte Carlo, optimization, importance sampling. This tutorial will begin with a quick introduction to the Bayesian underpinnings of data assimilation followed by applications to chaotic dynamical systems.

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