Tuesday, 24 January 2017: 10:30 AM
4C-3 (Washington State Convention Center )
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.
![](images/flag.png)
![](images/blue_ribbon.png)