EGU2020-19764, updated on 03 Jul 2023
https://doi.org/10.5194/egusphere-egu2020-19764
EGU General Assembly 2020
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Independent a priori information for reduced intercomparison errors between TROPOMI and TCCON retrievals of methane and carbon monoxide

Johannes Lutzmann1,2, Ralf Sussmann2, Huilin Chen3, Frank Hase4, Rigel Kivi5, Kimberly Strong6, Aki Tsurata7, and Thorsten Warneke8
Johannes Lutzmann et al.
  • 1Institute of Geography, University of Augsburg, Augsburg Germany
  • 2IMK-IFU, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany
  • 3Centre for Isotope Research, University of Groningen, Groningen, The Netherlands
  • 4IMK-ASF, Karlsruhe Institute of Technology, Karlsruhe, Germany
  • 5Finnish Meteorological Institute, Sodankylä, Finnland
  • 6Department of Physics, University of Toronto, Toronto Ontario, Canada
  • 7Finnish Meteorological Institute, Helsinki, Finnland
  • 8Institute of Environmental Physics, University of Bremen, Bremen, Germany

Ground-based column measurements of trace gases by FTIR spectrometers within the Total Carbon Column Observing Network (TCCON) provide accurate ground reference for the validation of the nadir-viewing hyperspectral Tropospheric Monitoring Instrument (TROPOMI) on-board the ESA satellite Sentinel 5 Precursor (S-5P). In such intercomparisons of two independent remote soundings, errors can occur as the a priori profiles used in the respective retrievals are i) differing from each other, and ii) both different from the true atmospheric state at the moment of observation. In certain conditions of atmospheric dynamics, e.g. polar vortex subsidence or stratospheric intrusions, which strongly alter the shape of vertical concentration profiles, these intercomparison errors can become considerable (Ostler et al., 2014).

In our work funded by the German Space Agency DLR and performed as part of the ESA AO project TCCON4S5P, we search for potential sources of realistic common a priori profiles for S-5P and TCCON CH4 and CO measurements which reduce these large errors. We examine the performance of a number of chemical transport models and data assimilation systems in reproducing dynamical effects and in minimizing intercomparison errors. In-situ profiles measured by AirCores are used as validation where they are available. We present the status and results of our ongoing work.

Reference:

Ostler, A., Sussmann, R., Rettinger, M., Deutscher, N. M., Dohe, S., Hase, F., Jones, N., Palm, M., and Sinnhuber, B.-M.: Multistation intercomparison of column-averaged methane from NDACC and TCCON: impact of dynamical variability, Atmos. Meas. Tech., 7, 4081–4101, doi:10.5194/amt-7-4081-2014, 2014. Ostler, A., Sussmann, R., Rettinger, M., Deutscher, N. M., Dohe, S., Hase, F., Jones, N., Palm, M., and Sinnhuber, B.-M.: Multistation intercomparison of column-averaged methane from NDACC and TCCON: impact of dynamical variability, Atmos. Meas. Tech., 7, 4081–4101, doi:10.5194/amt-7-4081-2014, 2014.

How to cite: Lutzmann, J., Sussmann, R., Chen, H., Hase, F., Kivi, R., Strong, K., Tsurata, A., and Warneke, T.: Independent a priori information for reduced intercomparison errors between TROPOMI and TCCON retrievals of methane and carbon monoxide, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19764, https://doi.org/10.5194/egusphere-egu2020-19764, 2020.