Robust data assimilation using L1 and Huber norms

@article{Rao2017RobustDA,
  title={Robust data assimilation using L1 and Huber norms},
  author={Vishwas Rao and Adrian Sandu and Michael Ng and Elias D. Ni{\~n}o},
  journal={SIAM J. Scientific Computing},
  year={2017},
  volume={39}
}
Data assimilation is the process to fuse information from priors, observations of nature, and numerical models, in order to obtain best estimates of the parameters or state of a physical system of interest. Presence of large errors in some observational data, e.g., data collected from a faulty instrument, negatively affect the quality of the overall… CONTINUE READING