Corpus ID: 236772646

An Efficient and Statistically Accurate Lagrangian Data Assimilation Algorithm with Applications to Discrete Element Sea Ice Models

@article{Chen2021AnEA,
  title={An Efficient and Statistically Accurate Lagrangian Data Assimilation Algorithm with Applications to Discrete Element Sea Ice Models},
  author={Nan Chen and Shubin Fu and Georgy E. Manucharyan},
  journal={ArXiv},
  year={2021},
  volume={abs/2108.00855}
}
  • Nan Chen, Shubin Fu, G. Manucharyan
  • Published 2021
  • Physics, Computer Science, Mathematics
  • ArXiv
Lagrangian data assimilation of complex nonlinear turbulent flows is an important but computationally challenging topic. In this article, an efficient data-driven statistically accurate reduced-order modeling algorithm is developed that significantly accelerates the computational efficiency of Lagrangian data assimilation. The algorithm starts with a Fourier transform of the high-dimensional flow field, which is followed by an effective model reduction that retains only a small subset of the… Expand

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