I’m a postdoctoral researcher at Caltech under the supervisions of Paul Wennberg, Junjie Liu, and Paul Palmer.

I graduated from the U of Utah in Spring 2020 and was a member of the Land-Atmosphere Interactions Research (LAIR) group (PhD advisor: John Lin).

My research focuses on carbon and AQ-related emissions at the URBAN scale via atmospheric modeling and remote sensing techniques. Check out more in the research page. :)

Contact: dienwu@caltech.edu; ResearchGate; Twitter


Lead author

  • Wu, D., Lin, J. C., Duarte, H. F., Yadav, V., Parazoo, N. C., Oda, T., and Kort, E. A.: A Model for Urban Biogenic CO2 Fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1), Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-301, in review, 2020.

  • Wu, D., J.C. Lin, T. Oda, and E.A. Kort: Space-based quantification of per capita CO2 emissions from cities. Environmental Research Letters, https://doi.org/10.1088/1748-9326/ab68eb, 2020.

  • Wu, D., Lin, J. C., Fasoli, B., Oda, T., Ye, X., Lauvaux, T., Yang, E. G., and Kort, E. A.: A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”), Geosci. Model Dev., 11, 4843-4871, https://doi.org/10.5194/gmd-11-4843-2018, 2018.


  • Qu, Z., Wu, D., Henze, D., Li, Y., Sonenberg, M., and Mao, F.: Transboundary transport of ozone pollution to a US border region: a case study of Yuma, Environmental Science & Technology, in review.

  • Roten, D., D. Wu, B. Fasoli, T. Oda, and J.C. Lin: An interpolation method to reduce the computational time in the stochastic Lagrangian particle dispersion modeling of spatially dense XCO2 retrievals, Earth and Space Science, in review.

  • Yang, E. G., Kort, E. A., Wu, D., Lin, J. C., Oda, T., Ye, X., & Lauvaux, T.: 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, 2020.

  • Hernandez, A.J., Morales-Rincon, L.A., Wu, D., Mallia, D., Lin, J.C. and Jimenez, R.: Transboundary transport of biomass burning aerosols and photochemical pollution in the Orinoco River Basin. Atmospheric Environment, https://doi.org/10.1016/j.atmosenv.2019.01.051, 2019.

  • Ye, X., Lauvaux, T., Kort, E. A., Oda, T., Feng, S., Lin, J. C., Yang, E., and Wu, D.: Constraining fossil fuel CO2 emissions from urban area using OCO-2 observations of total column CO2, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-1022, 2017.

  • Mallia, D.V., A. Kochanski, D. Wu, C. Pennell, W. Oswald, and J.C. Lin: Wind-Blown Dust Modeling Using a Backward-Lagrangian Particle Dispersion Model. J. Appl. Meteor. Climatol., 56, 2845–2867, https://doi.org/10.1175/JAMC-D-16-0351.1, 2017.

  • Lin, J. C., Mallia, D. V., Wu, D., and Stephens, B. B.: How can mountaintop CO2 observations be used to constrain regional carbon fluxes?, Atmos. Chem. Phys., 17, 5561-5581, https://doi.org/10.5194/acp-17-5561-2017, 2017.

Selected Oral and Poster Presentations

Wu, D., J.C. Lin, B. Fasoli, T. Oda, H. Duarte, E. A. Kort: Towards quantifying urban CO2 emissions for global cities using column CO2 and SIF data, AGU Fall Meeting, San Francisco, CA, 9-13 Dec, 2019 (eLightning).

Wu, D., J. C. Lin, T. Oda, and E. A. Kort: Do denser cities emit less CO2? A first estimate using a CO2 satellite, OCO-2/OCO-3 Science Team Telecon, 14 May 2019 (Oral).

Wu, D., J. C. Lin, Oda, T., Ye, X., Lauvaux, T., Yang, E., and Kort, E. A., Towards Interpreting the Signal of CO2 Emissions from Megacities by Applying a Lagrangian Receptor-oriented Model to OCO-2 XCO2 data, AGU Fall Meeting, New Orleans, LA, 11-15 Dec, 2017 (Oral).

Wu, D., D. V. Mallia, S. P. Urbanski, J. C. Lin, Top-down Constraints on CO Emissions from Wildfire Inventories Using a Receptor-oriented Lagrangian Particle Dispersion Model, AMS 3rd Conference on Biogeoscience, Salt Lake City, UT, 20-25 June, 2016 (Oral).