Our People
Fei Yao
Research Scientist
Research interests
I am interested in atmospheric composition modelling and remote sensing. I work on the GEOS-Chem Adjoint model, which provides an efficient approach to interpreting geostationary satellite data through a process known as inverse modelling.
Recent publications
Uncertainties from biomass burning aerosols in air quality models obscure public health impacts in Southeast Asia. 2023-08-04
DOI: http://dx.doi.org/10.5194/egusphere-2023-1232
Source Sector Mitigation of Solar Energy Generation Losses Attributable to Particulate Matter Pollution. 2022-06-21
DOI: http://dx.doi.org/10.1021/acs.est.2c01175
A model framework to reduce bias in ground-level PM2.5 concentrations inferred from satellite-retrieved AOD. 2021-03
DOI: http://dx.doi.org/10.1016/j.atmosenv.2021.118217
Estimating Daily PM2.5 Concentrations in Beijing Using 750-M VIIRS IP AOD Retrievals and a Nested Spatiotemporal Statistical Model. 2019-04
DOI: https://www.mdpi.com/2072-4292/11/7/841
Saturation Correction for Nighttime Lights Data Based on the Relative NDVI. 2017-07
