Carbon monoxide column retrieval for clear-sky and cloudy atmospheres: A full-mission data set from SCIAMACHY 2.3 μm reflectance measurements

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Abstract

We discuss the retrieval of carbon monoxide (CO) vertical column densities from clear-sky and cloud contaminated 2311-2338 nm reflectance spectra measured by the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) from January 2003 until the end of the mission in April 2012. These data were processed with the Shortwave Infrared CO Retrieval algorithm (SICOR) that we developed for the operational data processing of the Tropospheric Monitoring Instrument (TROPOMI) that will be launched on ESA's Sentinel-5 Precursor (S5P) mission. This study complements previous work that was limited to clear-sky observations over land. Over the oceans, CO is estimated from cloudy-sky measurements only, which is an important addition to the SCIAMACHY clear-sky CO data set as shown by NDACC and TCCON measurements at coastal sites. For Ny-..lesund, Lauder, Mauna Loa and Reunion, a validation of SCIAMACHY clear-sky retrievals is not meaningful because of the high retrieval noise and the few collocations at these sites. The situation improves significantly when considering cloudy-sky observations, where we find a low mean bias span styleCombining double low line text-decoration: overline Combining double low lineg ±6. 0 ppb and a strong correlation between the validation and the SCIAMACHY results with a mean Pearson correlation coefficient Combining double low lineg 0.g 7. Also for land observations, cloudy-sky CO retrievals present an interesting complement to the clear-sky data set. For example, at the cities Tehran and Beijing the agreement of SCIAMACHY clear-sky CO observations with MOZAIC/IAGOS airborne measurements is poor with a mean bias of

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Borsdorff, T., De Brugh, J. A., Hu, H., Nédélec, P., Aben, I., & Landgraf, J. (2017). Carbon monoxide column retrieval for clear-sky and cloudy atmospheres: A full-mission data set from SCIAMACHY 2.3 μm reflectance measurements. Atmospheric Measurement Techniques, 10(5), 1769–1782. https://doi.org/10.5194/amt-10-1769-2017

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