Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry

摘要

The variational data assimilation algorithm for the atmospheric chemistry transport and transformation model is applied to the airborne sensing profiles of chemical substances concentration. The data assimilation is performed quasi-independently on the separate stages of the splitting scheme. For the linear transport stage the direct algorithm is used. In the nonlinear transformation stage an iterative gradient-type one is applied. In the numerical experiment the realistic scenario of vertical ozone concentration profiles assimilation has been considered.