Aerosol-Biosphere-Climate Research Group @ Michigan Technological University


Our current research interests are (1) Process-based modeling of the sources, transformation, transport, and sinks of atmospheric aerosols and gases, and their impact on climate and air quality; (2) Interactions between changes in land-cover/land-use and atmospheric composition; (3) Remote sensing science and applications in environmental mapping, modeling, and monitoring; and (4) Synergy between physically-based modeling and machine learning in climate and air quality research.


A fully-funded PhD student position is available for 2020 Fall semester. If interested, please send your CV and a brief introduction of past experience to Dr. Xi. Visiting students or scholars are welcome to contact Dr. Xi for hosting opportunities.


Dr. Xin Xi, Group Lead

ResearcherID Google Scholar

Dr. Xi is a tenure-track assistant professor in the Department of Geological and Mining Engineering and Sciences at Michigan Technological University. He received his PhD in Atmospheric Science from Georgia Institute of Technology in 2014, and BSc in Geoinformatics from Beijing Normal University in 2007. His dissertation investigates the seasonal and interannual variability of mineral dust emissions from the drylands of Central Asia, and the linkage to climate and land-cover/land-use change. He was a postdoctoral fellow at NASA Ames Research Center and NOAA Center for Satellite Applications and Research before joining Michigan Tech.

Contact: (replace USER with xinxi)

Neerav Kaushal, Master Student

Neerav receive his MSc degree in Physics from Panjab University (India), and is pursuing his PhD at the Department of Physics of Michigan Tech. He is working on data fusion of satellite products from OCO-2 (SIF), CALIPSO (aerosol/cloud profiles), and MODIS (surface PAR and reflectance) for investigating terrestrial ecosystem physiological responses to atmospheric composition changes.


  • Xi, X., Ignatov, A., and X. Zhou (2019), Exploring MERRA-2 global meteorological and aerosol reanalyses for improved SST retrieval, Remote Sensing of Environment, 223, 1-7, doi:10.1016/j.rse.2019.01.011.
  • Johnson M.S., X. Xi, S. Jeong, E.L. Yates, L.T. Iraci, T. Tanaka, M. Loewenstein, J. Tadic, and M.L. Fisher (2016), Investigating seasonal methane emissions in northern California using airborne measurements and inverse modeling, Journal of Geophysical Research-Atmospheres, 121, 13,753-13,767, doi:10.1002/2016JD025157.
  • Xi, X., M.S. Johnson, S. Jeong, M. Fladeland, D. Pieri, J.A. Diaz, and G. Bland (2016), Constraining the sulfur dioxide degassing flux from Turrialba volcano, Costa Rica using unmanned aerial system measurements, Journal of Volcanology and Geothermal Research, 325, 110-118, doi:10.1016/j.jvolgeores.2016.06.023.
  • Xi, X., and I. N. Sokolik (2016), Quantifying the anthropogenic dust emission from agricultural land use and desiccation of the Aral Sea in Central Asia, Journal of Geophysical Research-Atmospheres, 121, 12,270-12,281,doi:10.1002/2016JD025556.
  • Xi, X. and I.N. Sokolik (2015), Dust interannual variability and trend in Central Asia from 2000 to 2014 and their climatic linkages, Journal of Geophysical Research-Atmospheres, 120, 12,175–12,197, doi:10.1002/2015JD024092.
  • Xi, X. and I.N. Sokolik (2015), Seasonal dynamics of threshold friction velocity and dust emission in Central Asia, Journal of Geophysical Research-Atmospheres, 120, 1536-1564, doi:10.1002/2014JD022471.
  • Xi, X. and I.N. Sokolik (2012), Impact of Asian dust aerosol and surface albedo on photosynthetically active radiation and surface radiative balance in dryland ecosystems. Advances in Meteorology, doi:10.1155/2012/276207.


Srihari Raghavendra Rao, Master student