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Assimilation algorithm

·       MSDOL uses sequential assimilation: whenever an observation becomes available , it is used to update the predicted value by the model which is run simultaneously;

 

·       Optimal interpolation is used to combine observations and outputs of the model;

 

where

Analysed state vector on the model grid (ozone mixing ratio)
Predicted state vector
Observations vector
Weight of the innovation vector with respect to the prediction of the model
Forward model providing a direct relation between the predicted state vector and the observations vector
Covariance matrix of the forecast error
Covariance matrix of the observation error
Time evolution operator (model)


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