Climate and Space Sciences and Engineering
2549Climate & Space Research Building University of Michigan 2455 Hayward Street Ann Arbor, MI 48109-2143
Ph.D. in Climate and Space Sciences and Engineering, University of Michigan, expected 2021
Graduate Certificate in Science, Technology, and Public Policy, April 2020
M.S. in Climate and Space Sciences and Engineering, University of Michigan, 2018
B.A. in Physics and Minor in Environmental Analysis, Pomona College, 2014
My research focuses on quantifying and constraining urban CO2 emissions, particularly in the Middle East, using a combination of OCO-2 satellite data and Lagrangian modeling.
I am a Ph.D. candidate working for Dr. Eric A. Kort.
After graduating from Pomona College with a B.A. in Physics and a minor in Environmental Analysis, I spent one year in Germany on a Fulbright Study/Research Grant studying greenhouse gas emissions from inland waters. I then spent another year working as a research assistant (staff) with Dr. Kort before enrolling in the Ph.D. program here.
Along with my main research, I am also interested in science policy and intend on completing a Science, Technology, and Public Policy certificate.
Ye, X., Lauvaux, T., Kort, E. A., Oda, T., Feng, S., Lin, J. C., Yang, E. G., & Wu, D. (2020). Constraining fossil fuel CO2 emissions from urban area using OCO‐2 observations of total column CO2. Journal of Geophysical Research: Atmospheres, 125, e2019JD030528. https://doi.org/10.1029/2019JD030528
Yang, E. G., Kort, E. A., Wu, D., Lin, J. C., Oda, T., Ye, X., & Lauvaux, T. (2020). Using space‐based observations and Lagrangian modeling to evaluate urban carbon dioxide emissions in the Middle East. Journal of Geophysical Research: Atmospheres, 125, e2019JD031922. https://doi.org/10.1029/2019JD031922
Wu, D., Lin, J. C., Oda, T., Ye, X., Lauvaux, T., Yang, E. G., & Kort, E. A. (2018). A Lagrangian Approach Towards Extracting Signals of Urban CO2 Emissions from Satellite Observations of Atmospheric Column CO2: X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1.1”). Geoscientific Model Development Discussions, 1-43. doi:10.5194/gmd-2018-123