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A computationally-efficient secondary organic aerosol module for three-dimensional air quality models
2008
Atmospheric Chemistry and Physics
Accurately simulating secondary organic aerosols (SOA) in three-dimensional (3-D) air quality models is challenging due to the complexity of the physics and chemistry involved and the high computational demand required. A computationally-efficient yet accurate SOA module is necessary in 3-D applications for long-term simulations and realtime air quality forecasting. A coupled gas and aerosol box model (i.e., 0-D CMAQ-MADRID 2) is used to optimize relevant processes in order to develop such a
doi:10.5194/acp-8-3985-2008
fatcat:climzrtdcbdvbgcryes5nidrsy