Multivariate Chemical Data Assimilation
We present an overview of the mathematical formalism of data assimilation applied to photochemical atmospheric models. Examples of Kaiman filter and variational assimilation analysis are presented along with time-dependent linearization and error covariance matrices for a typical stratospheric chemical system described in the Chapter Introduction to Atmospheric Photochemical Modelling.
KeywordsProbability Density Function Kalman Filter Data Assimilation Extended Kalman Filter Adjoint Method
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