During the Post-doc period at MIT, I would mainly focus on inverse modeling of greenhouse gas emissions and air pollutants at regional and global scales.
My current and previous research field includes:
- (1) Inventorying Air Pollutants, Ozone Depletion Substances and Greenhouse Gases emissions;
I got full training of inventorying sectorial, regional and national emissions of air pollutants, ozone depletion substances and greenhouse gas, especially for China and East Asia.
Figure 1. sulfur hexafluoride (SF6) emissions in China for the period 1990-2020
- (2) Field campaign, chemical analysis, instrumental analysis and data analysis of trace gases; Familiar with atmospheric observation at regular station, super station and field campaign;
I have full experience of laboratory analysis of air samples using many instruments, e.g., GC/MS coupled with pre-concentration system using liquid nitrogen.
Figure 2. ENTECH 7100 pre-concentration system using liquid Nitrogen
- (3) Based on high-resolution observation data, inverse modeling are used for estimating global/regional emissions of air pollutants and greenhouse gases;
I learned inverse modeling under supervision of Andreas Stohl and Rona L. Thompson when I was visiting Norwegian Institute for Air Research.
Figure 3. A posteriori SF6 emissions optimized by Bayesian Inversion in East Asia in 2012
- (4) Interpreting observation data using backward simulated footprint emissions by FLEXPART.
Using FLEXPART model and ECMWF or GFS (or other) meteorological data, footprint emission sensitivities are simulated for the specific observation station. Emission source informations can be used for quantitative calculation of contribution from each grid to the atmospheric concentrations observed at that station. See http://zardoz.nilu.no/~fang/STATIONS/index.html. Other stations can be added if necessary.
Figure 4. Backward simulated footprint emission sensitivities for PKU atmospehric observatory at UTC 12–15 on October 2, 2012.