EGU21-7165
https://doi.org/10.5194/egusphere-egu21-7165
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Towards the CO2Image mission: performance studies using AVIRIS-NG

Jonas S. Wilzewski1,2, Johan Strandgren1,4, Andreas Baumgartner1, Peter Haschberger1, Claas Köhler1, David Krutz1, Carsten Paproth1, John W. Chapman5, David R. Thompson5, Andrew K. Thorpe5, Bernhard Mayer2, Anke Roiger1, and André Butz3
Jonas S. Wilzewski et al.
  • 1German Aerospace Center, Institute of Atmospheric Physics, Oberpfaffenhofen, Germany (jonas.wilzewski@dlr.de)
  • 2Meteorological Institute Munich, Ludwig-Maximilians-Universität, Munich, Germany
  • 3Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
  • 4now at EUMETSAT, EUMETSAT-Allee 1, 64295 Darmstadt, Germany
  • 5Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA

Monitoring of anthropogenic carbon dioxide (CO2) emission sources with air- and space-borne remote sensing instruments relies on high-spatial resolution measurements. Such observations can be achieved at the expense of decreasing the spectral resolution of the instrument, which in turn complicates CO2 retrieval techniques due to the reduced information content of the spectra.

In preparation for the CO2IMAGE mission (Δλ ~ 1.3 nm) – a compact satellite proposal currently in phase A at the German Aerospace Center (DLR) – we present here a dedicated study of CO2 monitoring capabilities with the airborne AVIRIS-NG sensor (Δλ ~ 5 nm). We conduct CO2 retrievals of several clear-sky AVIRIS-NG point source observations with the RemoTeC algorithm, based on the short-wave infrared absorption bands of CO2. Favorable state vector and spectral retrieval window configurations are identified that reduce correlations between the carbon dioxide and water vapor column concentrations and surface reflection properties. We also discuss the use of a posteriori correction methods to minimize biases in the retrieved CO2 fields and, finally, we carry out source rate estimates for these case studies.

How to cite: Wilzewski, J. S., Strandgren, J., Baumgartner, A., Haschberger, P., Köhler, C., Krutz, D., Paproth, C., Chapman, J. W., Thompson, D. R., Thorpe, A. K., Mayer, B., Roiger, A., and Butz, A.: Towards the CO2Image mission: performance studies using AVIRIS-NG, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-7165, https://doi.org/10.5194/egusphere-egu21-7165, 2021.

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