Multiscale representation of observation error statistics in data assimilation

HIGHLIGHTS

• who: Vincent, Chabot and Maëlle, Nodet from the UnivGrenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble, France have published the research work: Multiscale Representation of Observation Error Statistics in Data Assimilation, in the Journal: Sensors 2020, 1460 of /2020/
• what: Following a previous study on this subject the authors propose to use multiscale modelling more precisely wavelet transform to address this question. In this work, the focus is with wavelet basis, which presents many advantages: there exists fast wavelet transform algorithms (as for Fourier), so the computational cost remains reasonable.
• how: The . . .
  

   

  

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