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

Other literature type English OPEN
Borsdorff, Tobias ; aan de Brugh, Joost ; Hu, Haili ; Nédélec, Philippe ; Aben, Ilse ; Landgraf, Jochen (2017)

We discuss the retrieval of carbon monoxide (CO) vertical column densities from clear-sky and cloud contaminated 2311&ndash;2338&thinsp;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 was 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-Ålesund, 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. This improves significantly when considering cloudy-sky observations, where we find a low mean bias <i><span style="text-decoration: overline">b</span></i>&thinsp;=&thinsp;±6.0&thinsp;ppb and a strong correlation between the validation data set and the SCIAMACHY data sets with a mean Pearson correlation coefficient <i>r</i>&thinsp;=&thinsp;0.7. Also for land observations, cloudy-sky CO retrievals present an interesting complement to the clear-sky data set, which is less sensitive to the spatial representativeness of the satellite and validation measurement. For example, at the cities Teheran and Beijing the agreement of SCIAMACHY clear-sky CO observations with MOZAIC/IAGOS airborne measurements is poor with a mean bias of <i><span style="text-decoration: overline">b</span></i>&thinsp;=&thinsp;171.2&thinsp;ppb and 57.9&thinsp;ppb because of local CO pollution, which cannot be captured by SCIAMACHY. The validation improves significantly for cloudy sky retrievals with <i><span style="text-decoration: overline">b</span></i>&thinsp;=&thinsp;52.3&thinsp;ppb and 5.0&thinsp;ppb, respectively. This is due to a reduced retrieval sensitivity to CO below the cloud and so to the altitude range, which is mostly affected by strong local surface emissions. At the less urbanized region around the airportWindhoek, local CO pollution is less prominent and so MOZAIC/IAGOS measurements agree well with SCIAMACHY clear-sky retrievals with a mean bias of <i><span style="text-decoration: overline">b</span></i>&thinsp;=&thinsp;15.5&thinsp;ppb, but can be even further improved considering cloudy SCIAMACHY observations with a mean CO bias of <i><span style="text-decoration: overline">b</span></i>&thinsp;=&thinsp;0.2&thinsp;ppb. Overall the cloudy-sky CO retrievals from SCIAMACHY short wave infrared measurements present a valuable addition to the clear-sky only data set. Moreover, the study represents the first application of the S5P algorithm for operational CO data processing on cloudy observations prior to the launch of the S5P mission.
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