• Corpus ID: 239616472

Introduction to data assimilation for parameter estimation

@article{Luong2021IntroductionTD,
  title={Introduction to data assimilation for parameter estimation},
  author={Loc Luong},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.11509}
}
  • Loc Luong
  • Published 18 October 2021
  • Computer Science, Engineering
  • ArXiv
In this study, two classes of methods including statistical and variational data assimilation algorithms will be described. In statistical methods, the model state is updated sequentially based on the previous estimate. Variational methods, on the other hand, seek an estimation in space and time by minimizing a cost function. Both of these methods require estimates of background state which is the prior information of the system and its error covariances. In terms of linear and Gaussian… 

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