Leader of the group Airborne trace gas measurements and mesoscale modelling (ATM)
Research interests | My work at MPI Biogeochemistry | Publications | CV
One of the pillars of my research is the development and deployment of instrumentation for measurement of trace gases from airborne platforms at a high accuracy.
A number of modeling tools are in development in a continued collaboration with the Wofsy group at Harvard and with John Lin (formerly at Harvard, now at Waterloo). These tools are elements of a model-data fusion system designed to extract information from a variety of data streams, with special emphasis on airborne or ground based greenhouse gas gas measurements.
A fast tool to retrieve the tracer adjoint (sensitivity of atmospheric tracer mixing ratio measured at receptor point with respect to upstream variations in surface fluxes), including turbulence. This is also used in forecast mode for flight planning purposes (examples).
A diagnostic biosphere model to compute fluxes consistent with fluxes observed by Eddy Covariance. VPRM is a light use efficency (LUE) model, and uses the MODIS EVI (enhanced vegetation index) and LSWI (land surface water index) as well as vegetation classification (e.g. Synmap). Four parameters are optimized against measurements for each vegetation type. This work is in collaboration with Steve Wofsy at Harvard.
An regional inversion framework to assimilate information from multiple data streams for retrieving regional fluxes. It uses STILT footprints, prior fluxes from VPRM and others, gridded emission inventories, and ocean fluxes to derive optimized biosphere-atmosphere flux estimates from atmospheric observations such as from ICOS. To account for lateral boundary conditions, it is used in sequence with the CarboScope system on a global scale.
Coupling of WRF-Chem with models for biospheric CO2 fluxes (VPRM), natural fluxes for CH4, and anthropogenic fluxes for CH4, CO2, and CO. A fully scalable modelling approach ranging from mesoscales at 1 km to 20 km or coarser. This is also used in forecasting mode to assist flight planning during campaigns.
Consistent coupling of WRF transport to the STILT model, by using consistent mass fluxes (advective and convective) as well as consistent turbulence parameters. This work was done in collaboration with Thomas Nehrkorn and Janusz Eluskiewicz at AER.
|Filges, A., Gerbig, C., Chen, H., Franke, H., Klaus, C., Jordan, A. (2015). The IAGOS-core greenhouse gas package: a measurement system for continuous airborne observations of CO2, CH4, H2O and CO. Tellus B 67. doi:10.3402/tellusb.v67.27989|
|Beck, V., Gerbig, C., Koch, T., Bela, M.M., Longo, K.M., Freitas, S.R., Kaplan, J.O., Prigent, C., Bergamaschi, P., Heimann, M. (2013). WRF-Chem simulations in the Amazon region during wet and dry season transitions: evaluation of methane models and wetland inundation maps. Atmos. Chem. Phys. 13, 7961–7982. doi:10.5194/acp-13-7961-2013|
|Kountouris, P., Gerbig, C., Rödenbeck, C., Karstens, U., Koch, T.F., Heimann, M. (2018). Atmospheric CO<sub>2</sub> inversions on the mesoscale using data-driven prior uncertainties: quantification of the European terrestrial CO<sub>2</sub> fluxes. Atmos. Chem. Phys. 18, 3047–3064. doi:10.5194/acp-18-3047-2018|
Follow the link to my ResearcherID page for a full list of publications.
|since 08/2004||Leader of the Airborne Trace Gas Measurements and Mesoscale Modeling (ATM) Group at the Max-Planck-Institute for Biogeochemistry in Jena, DE|
|01/1999-07/2004||Postdoctoral Research Fellow and Research Associate, Division of Engineering and Applied Sciences, Harvard University.|
|1997-1998||Postdoctoral Research Fellow, Institute of Chemistry and Dynamics of the Geosphere, Forschungszentrum Juelich (Germany).|
|1993-1997||PhD-student and Graduate Research Assistant, Institute of Chemistry and Dynamics of the Geosphere, Forschungszentrum Juelich (Germany).|
|1992-1993||Studies of Physics at University of Wuppertal, Germany.|
|1987-1992||Studies of Physics at University RWTH Aachen, Germany.|
|Page last modified: October 05, 2020, at 11:14 AM|