Quasi-static ensemble variational data assimilation: a theoretical and numerical study with the iterative ensemble kalman smoother

HIGHLIGHTS

• who: Nonlin. Processes Geophys. and colleagues from the Joint Laboratory École des Ponts ParisTech and EDF RandD, Université Paris-Est, Champs-sur-Marne, France have published the research work: Quasi-static ensemble variational data assimilation: a theoretical and numerical study with the iterative ensemble Kalman smoother, in the Journal: (JOURNAL)
• what: During the analysis step, a background pdf is used as a prior together with the observation likelihood to construct the (often approximate) posterior pdf, following Bayes' theorem. The authors have extended the study of Pires et_al on quasi-static variational data assimilation, focused on . . .
  

   

  

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