Difference between revisions of "User:FeiYao-Edinburgh"

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I am a PhD student working with Prof. Paul Palmer in the Atmospheric Composition Modeling Group at School of GeoSciences, the University of Edinburgh. My research interests lie in the area of modeling global, regional and urban-scale air pollution from satellite remotely sensed data. My current project focuses on unveiling the spatiotemporal trends and associated driving factors of surface PM2.5 pollution over China by using data and models.
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I am a PhD student working with Prof. Paul Palmer in the [http://www.palmergroup.org/ Atmospheric Composition Modelling Group] at the School of GeoSciences, the University of Edinburgh. My research interests lie in the area of understanding global, regional and urban-scale air pollution by using multi-source data and models. Taking mainland China as an illustration, my current project mainly focuses on investigating the driving factors that influence the relationship between the satellite-retrieved column aerosol optical depth (AOD) and ground-level PM<sub>2.5</sub> concentrations, with an emphasis on compositions and vertical profiles of aerosols. Expecting results will further inform how we can properly or best use the satellite-retrieved column AOD to estimate ground-level PM<sub>2.5</sub> concentrations, and thereby related economic and health losses.

Latest revision as of 17:20, 4 February 2020

I am a PhD student working with Prof. Paul Palmer in the Atmospheric Composition Modelling Group at the School of GeoSciences, the University of Edinburgh. My research interests lie in the area of understanding global, regional and urban-scale air pollution by using multi-source data and models. Taking mainland China as an illustration, my current project mainly focuses on investigating the driving factors that influence the relationship between the satellite-retrieved column aerosol optical depth (AOD) and ground-level PM2.5 concentrations, with an emphasis on compositions and vertical profiles of aerosols. Expecting results will further inform how we can properly or best use the satellite-retrieved column AOD to estimate ground-level PM2.5 concentrations, and thereby related economic and health losses.