28 Apr 2022
28 Apr 2022
Status: this preprint is currently under review for the journal AMT.

TROPESS/CrIS carbon monoxide profile validation with NOAA GML and ATom in situ aircraft observations

Helen M. Worden1, Gene L. Francis1, Susan S. Kulawik2, Kevin W. Bowman3, Karen Cady-Pereira4, Dejian Fu3, Jennifer D. Hegarty4, Valentin Kantchev3, Ming Luo3, Vivienne H. Payne3, John R. Worden3, Róisín Commane5, and Kathryn McKain6,7 Helen M. Worden et al.
  • 1Atmospheric Chemistry Observations and Modeling (ACOM), National Center for Atmospheric Research (NCAR), Boulder, CO, USA
  • 2BAER Institute, 625 2nd Street, Suite 209, Petaluma, CA, USA
  • 3Jet Propulsion Laboratory / California Institute for Technology, Pasadena, CA, USA
  • 4Atmospheric and Environmental Research Inc., Lexington, MA, USA
  • 5Dept. of Earth and Environmental Sciences, Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
  • 6Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, USA
  • 7Global Monitoring Division (GMD), National Oceanic and Atmospheric Administration, Boulder, CO, USA

Abstract. The new single pixel TROPESS (TRopospheric Ozone and its Precursors from Earth System Sounding) profile retrievals of carbon monoxide (CO) from the Cross-track Infrared Sounder (CrIS) are evaluated using vertical profiles of in situ observations from the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML) aircraft program and from the Atmospheric Tomography Mission (ATom) campaigns. The TROPESS optimal estimation retrievals are produced using the MUSES (MUlti-SpEctra, MUlti-SpEcies, MUlti-Sensors) algorithm which has heritage from retrieval algorithms developed for the EOS/Aura Tropospheric Emission Spectrometer (TES). TROPESS products provide retrieval diagnostics and error covariance matrices that propagate instrument noise as well as the uncertainties from sequential retrievals of parameters such as temperature and water vapor that are required to estimate the carbon monoxide profiles. The validation approach used here evaluates biases in column and profile values and the validity of the retrieval error estimates using the mean and variance of the compared satellite and aircraft observations. CrIS-NOAA GML comparisons had biases of 0.6 % for partial column average volume mixing ratios (VMR) and (2.3, 0.9, -4.5) % for VMR at (750, 511, 287) hPa vertical levels, respectively, with standard deviations from 9 % to 14 %. CrIS-ATom comparisons had biases of -0.04 % for partial column and (2.2, 0.5, -3.0) % for (750, 511, 287) hPa vertical levels, respectively, with standard deviations from 6 % to 10 %. The reported observational errors for TROPESS CrIS CO profiles have the expected behavior with respect to the vertical pattern in standard deviation of the comparisons. These comparison results give us confidence in the use of TROPESS CrIS CO profiles and error characterization for continuing the multi decadal record of satellite CO observations.

Helen M. Worden et al.

Status: open (until 24 Jun 2022)

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Helen M. Worden et al.

Helen M. Worden et al.


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Short summary
Satellite observations of global carbon monoxide (CO) are essential for understanding atmospheric chemistry and pollution sources. This paper describes a new data product using radiance measurements from the Cross-track Infrared Sounder (CrIS) instrument on the Suomi National Polar-orbiting Partnership (SNPP) satellite that provides vertical profiles of CO from single field of view observations. We show how these satellite CO profiles compare to aircraft observations and evaluate their biases.