Chongxing Fan

Graduate Student

Contact

Location

Climate & Space Research Building 2455 Hayward Street Ann Arbor, MI 48109-2143

Education

B.S. (2019), Atmospheric Sciences, Nanjing University

Biography

Chongxing Fan is a third-year Ph.D. student in the Department of Climate and Space Sciences and Engineering. His past research experiences were related to aerosol-climate interactions when he was an undergraduate student at Nanjing University. He is now advised by Prof. Xianglei Huang, and his research interests include satellite data analysis and machine learning application in climate sciences. He has published two papers about solar farms’ radiative effects observed by satellites and one paper about the aerosol-climate interaction. His proposal on studying solar farms’ effects based on climate models was selected by the NASA FINESST program and received a $150,000 grant. He has received Rackham International Students Fellowship due to his academic achievements. Chongxing is also a MICDE 2019-2020 Fellow. He obtained his Certificate of Graduate Studies in Computational Discovery and Engineering in April 2022.

Publications

Fan, C., & Huang, X. (2021). Direct impact of solar farm deployment on surface longwave radiation. Environmental Research Communications, 3(12), 125006. https://doi.org/10.1088/2515-7620/ac40f1.
Fan, C., & Huang, X. (2020). Satellite-observed changes of surface spectral reflectances due to solar farming and the implication for radiation budget. Environmental Research Letters, 15(11), 114047. https://doi.org/10.1088/1748-9326/abbdea.
Fan, C., Wang, M., Rosenfeld, D., Zhu, Y., Liu, J., & Chen, B. (2020). Strong Precipitation Suppression by Aerosols in Marine Low Clouds. Geophysical Research Letters, 47(7), e2019GL086207. https://doi.org/10.1029/2019GL086207.

Current and Previous Grants (* for current grants)

*Impacts of Solar Farming on Surface Energy Budget and Climate from Long-Term NASA Satellite Observations, NASA, 9/2022-8/2024, $150,000

Conferences, Proceedings, and Abstracts

Fan, C., & Huang, X., Solar Farm as an ideal test bed for satellite surface emissivity and temperature retrieval algorithms. AGU Fall Meeting 2021, A15D-1667, December 13, 2021.
Fan, C., & Huang, X., Use different machine-learning algorithms for clear-sky detections in infrared hyperspectral observations: assessment and physical interpretability. Session 1B: AI for Weather and Climate – Part I, 3rd NOAA Workshop on Leveraging AI in Environmental Sciences, September 13, 2021.
Fan, C., & Huang, X., Satellite-observed changes of surface spectral reflectances due to solar farming and the implication for radiation budget. AGU Fall Meeting 2020, GC135-10, December 17, 2020.