Data assimilation in atmospheric chemistry and air quality
Data assimilation in atmospheric chemistry and air quality
This chapter discusses data assimilation in atmospheric chemistry and air quality. Atmospheric chemistry dynamics and its simulations are significantly forced by emissions, in addition to other parameters. Data assimilation typically aims at analysing the initial state of the system. Hence, for atmospheric chemistry simulations, data assimilation must be extended beyond initial-value identification to identify further parameters by estimation techniques. This chapter describes advanced spatio-temporal data assimilation techniques used in atmospheric chemistry. The objective is joint parameter-initial-state estimation for a coupled four-dimensional variational data assimilation/inversion system using the chemistry-transport model EURAD-IM and satisfying three criteria: both parameter families must have dominant influence on the dynamics, they must be poorly known, and they must impinge on the system on the same timescale. A coupled initial-value/emission-inversion system is described, along with assimilation of tropospheric satellite data from both gas-phase and aerosol retrievals. Examples of aerosol data assimilation are also given.
Keywords: atmospheric chemistry, initial state, spatio-temporal, parameter-initial-state estimation, four-dimensional variational data assimilation
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