Application of the Quasi-Inverse Method to Data Assimilation

@inproceedings{Kalnay2000ApplicationOT,
  title={Application of the Quasi-Inverse Method to Data Assimilation},
  author={Eugenia Kalnay and Seon Ki Park and Zhaoxia Pu and Jidong Gao},
  year={2000}
}
Four-dimensional variational data assimilation (4D-Var) seeks to find an optimal initial field that minimizes a cost function defined as the squared distance between model solutions and observations within an assimilation window. For a perfect linear model, Lorenc showed that the 4D-Var forecast at the end of the window coincides with a Kalman filter analysis if two conditions are fulfilled: (a) addition to the cost function of a term that measures the distance to the background at the… CONTINUE READING

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Atmospheric Modeling, Data Assimilation, and Predictability

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