Max Planck Gesellschaft

Jinxuan Chen

PhD student in the ATM Research Group and SRS Research Group

room: A3.019
phone: +49 3641 57 6301
email: jichen(at)bgc-jena.mpg.de






Project | Research interests | CV | Publications


PhD-project

Airborne profile observations of greenhouse gases as an element of an emission verification system

My PhD project is strongly connected to the CoMet airborne campaign, which conducted in 2018 and was focused on testing innovative remote-sensing, in-situ and modelling methods to constrain european sources of main greenhouse gases - carbon dioxide and methane.

My role in the campaign mainly relates to the modelling support. During the preparation phase, I am responsible for the biospheric CO2 flux forecast in the GHG forecast system, which provides information of winds and trace gas plume strength for the flight planning.

Currently my research focuses on using the in-situ measurement from the campaign to validate a IPDA Lidar CHARM-F. The atmospheric transport model STILT is used as an important tool to bridge the two data streams.


Research interests

  • Carbon cycle
  • Atmoshpere-biosphere interactions
  • Atmoshperic modelling, inverse modelling

Academic background

Since 2017.8 PhD student Max-Planck-Institute for Biogeochemistry
2012.9 – 2017.7 M.S. Dept. of Atmospheric & Oceanic Sciences, Peking University
2008.9 – 2012.6 B.S. Yuanpei College, Peking University

Publications

  • Chen, J., Gerbig, C., Marshall, J., and Totsche, K. U.: Short-term forecasting of regional biospheric CO2 fluxes in Europe using a light-use-efficiency model, Geoscientific Model Development Discussion, in review, 2019.
  • Liu, M., Lin, J., Wang, Y., Sun, Y., Zheng, B., Shao, J., Chen, L., Zheng, Y., Chen, J., Fu, M. and Yan, Y., 2018. Spatiotemporal variability of NO2 and PM2. 5 over Eastern China: observational and model analyses with a novel statistical method. Atmospheric Chemistry and Physics, 18, pp.12933-12952.
  • Yan, Y.Y., Lin, J.T., Chen, J. and Hu, L., 2015. Improved simulation of tropospheric ozone by a global-multi-regional two-way coupling model system. Atmospheric Chemistry & Physics, 15(19).
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