GEOS-Chem Adjoint Inversion of Aerosol Source Emissions with Multi-Sensor (MODIS, MISR, and OMI) Datasets over East Asia (Invited Presentation)

Bottom-up estimates of aerosol source emissions, including the emissions of aerosol precursors (such as SO₂ and NO₂), have large uncertainties, especially over the east Asia region where economic growth is so rapid that ancillary information needed for bottom-up estimates can not be timely documented and reliably measured. Top-town approaches using satellite measurements thereby provide a promising method for timely and reliably updating emission inventories at local, regional, and global scale, provided that the source-receptor relationship between the observations and emissions can be well established. Establishing such relationships, however, can be challenging because of non-linear chemical and dynamical processes in the atmosphere. Hence, rigorous inversion of aerosol source emission requires the use of: (a) a robust and computationally efficient inversion method, and (b) measurements of both aerosols and gases. In this presentation, I will highlight some pregresses we made in using GEOS-Chem adjoint and satellite data from MODIS, OMI, and MISR to contrain emissions of aerosols sources including their precursors (SO2 and NO2) in Asia. Examples of using these top-down estiamte of emissions for improving chemistry transport modeling and air quality modeling will also be shown.