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Parametric Kalman filter for chemical transport models

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Fig. 3 when it is the SOAR function. Assimilating observa- observa-tions in the system results in damping both the variance (left panel) and the length-scale fields (right panel)
Fig. 3. Similar to Fig. 2 but when the background correlation is homogeneous and SOAR.
Fig. 5. Diagnosis of the analysis covariance matrix at iterations 1 (a), 15 (b), 30 (c) and 60 (d) in case of an advectiondiffusion dynamics

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