Multiscale Methods for Data Assimilation in Turbulent Systems

  title={Multiscale Methods for Data Assimilation in Turbulent Systems},
  author={Yoonsang Lee and Andrew J. Majda},
  journal={Multiscale Model. Simul.},
Data assimilation of turbulent signals is an important challenging problem because of the extremely complicated large dimension of the signals and incomplete partial noisy observations which usually mix the large scale mean flow and small scale fluctuations. Due to the limited computing power in the foreseeable future, it is desirable to use multiscale forecast models which are cheap and fast to mitigate the curse of dimensionality in turbulent systems; thus model errors from imperfect forecast… 

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