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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/amt-2020-194
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-194
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  02 Jul 2020

02 Jul 2020

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A revised version of this preprint is currently under review for the journal AMT.

Verification of the AIRS and MLS ozone algorithms based on retrieved daytime and nighttime ozone

Wannan Wang1,2,3, Tianhai Cheng1, Ronald van der A3, Jos de Laat3, and Jason E. Williams3 Wannan Wang et al.
  • 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
  • 2University of Chinese Academy of Sciences, Beijing, 100049, China
  • 3Royal Netherlands Meteorological Institute (KNMI), De Bilt, 3730 AE, the Netherlands

Abstract. Ozone (O3) plays a significant role in weather and climate on regional to global spatial scales. Most studies on the variability in the total column of O3 (TCO) are typically analysed using daytime data. Based on knowledge of the chemistry and transport of O3, significant deviations between daytime and nighttime O3 are only expected either in the planetary boundary layer (PBL) or high in the stratosphere or mesosphere, having little effect on the TCO. Hence, we expect the daytime and nighttime TCO to be very similar. Comparing daytime and nighttime TCOs thus provides an approach to verify the retrieval algorithms of infrared instruments like the Atmospheric InfraRed Sounder (AIRS) and the Microwave Limb Sounder (MLS). Applying this verification on the AIRS and the MLS data we identified inconsistencies in observations of O3 from both satellite instruments. For AIRS, daytime-nighttime differences were found over oceans resembling cloud cover patterns, and over land, mostly over dry land areas, likely related to infrared surface emissivity. These differences point to issues with the representation of both processes in the AIRS retrieval algorithm. For MLS, a major issue was identified with the “ascending-descending” orbit flag, used to discriminate nighttime and daytime MLS measurements. Disregarding this issue, MLS day-night differences were significantly smaller than AIRS day-night differences, providing additional support for retrieval method origin of AIRS day-night TCO differences. MLS day-night differences are dominated by the upper stratospheric and mesospheric diurnal O3 cycle. These results provide useful information for improving infrared O3 products and at the same time will allow study the day-night differences of stratospheric and mesospheric O3.

Wannan Wang et al.

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Wannan Wang et al.

Wannan Wang et al.

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Short summary
The scope of the paper is the evaluation of the AIRS and MLS ozone algorithms via comparison with daytime and nighttime ozone datasets. Results show further refinements of AIRS ozone algorithm for better surface emissivity retrievals are required and cloud covers is another problem that needs to be solved. An inconsistency is found in the ‘AscDescMode’ flag of MLS v4.20 standard O3 product in 90° S–60° S and 60° N–90° N, resulting in inconsistent ozone profiles in these regions before May 2015.
The scope of the paper is the evaluation of the AIRS and MLS ozone algorithms via comparison...
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