EGU23-2717, updated on 22 Feb 2023
https://doi.org/10.5194/egusphere-egu23-2717
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Data assimilation of NOAA surface and MIPAS satellite observations for improvements towards the global budget of carbonyl sulfide

Jin Ma1, Norbert Glatthor3, Marc von Hobe4, Steve A. Montzka5, and Maarten Krol1,2
Jin Ma et al.
  • 1Institute for Marine and Atmospheric Research Utrecht, Utrecht University, the Netherlands
  • 2Meteorology and Air Quality group, Wageningen University and Research, the Netherlands
  • 3Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung, Karlsruhe, Germany
  • 4Forschungszentrum Jülich GmbH, Germany
  • 5Global Monitoring Laboratory, NOAA, USA

Carbonyl sulfide (COS) is a long-lived trace gas with an average tropospheric mixing ratio of approximately 485 pmol mol-1 and a lifetime of about 2 years. In the absence of a significant atmospheric trend, its budget is considered balanced, but significant uncertainties remain on individual sources and sinks. Although challenging, accurate quantification of the COS budget is important because COS uptake by terrestrial biosphere has the potential to be used for improved assessment of Gross Primary Productivity (GPP). Here, we will report inversion progress of optimizing COS global budgets by using TM5-4DVAR. To this end, we assimilate data from the MIPAS limb sounder onboard the ENVISAT satellite that measured atmospheric emission profiles down to the upper troposphere from 2002 – 2012. Tropospheric COS retrievals are assimilated together with NOAA COS surface observations, and a bias correction scheme is employed to correct for potential calibration differences. We will show that: 1) inversion experiments close the budgets and are in favor of reduced biosphere uptake; 2) co-assimilation and bias correction scheme improve fitting ground and satellite retrievals and validation against HIAPER Pole-to-Pole Observations (HIPPO); 3) the prior flux errors are also important for achieving more realistic inversions.

How to cite: Ma, J., Glatthor, N., von Hobe, M., Montzka, S. A., and Krol, M.: Data assimilation of NOAA surface and MIPAS satellite observations for improvements towards the global budget of carbonyl sulfide, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-2717, https://doi.org/10.5194/egusphere-egu23-2717, 2023.