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Article

Ozone Profile Retrieval Algorithm Based on GEOS-Chem Model in the Middle and Upper Atmosphere

1
Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
2
Science Island Branch, Graduate School of University of Science and Technology of China, Hefei 230026, China
3
Key Laboratory of General Optical Calibration and Characterization Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(8), 1335; https://doi.org/10.3390/rs16081335
Submission received: 26 February 2024 / Revised: 29 March 2024 / Accepted: 9 April 2024 / Published: 10 April 2024

Abstract

Ozone absorbs ultraviolet radiation, which has a significant impact on research in astrobiology and other fields in that investigate the middle and upper atmosphere. A retrieval algorithm for ozone profiles in the middle and upper atmosphere was developed using the spectral data from the TROPOspheric Monitoring Instrument (TROPOMI). A priori ozone profiles were constructed through the Goddard Earth Observing System-Chem (GEOS-Chem) model. These profiles were closer to the true atmosphere in the spatial and temporal dimensions when compared to the ozone climatology. The TpO3 ozone climatology was used as a reference to highlight the reliability of the a priori ozone profile from GEOS-Chem. The inversion results based on GEOS-Chem and TpO3 climatology were compared with ground-based ozone measurements and the satellite products of the Microwave Limb Sounder (MLS) and the Ozone Mapping and Profiles Suite_Limb Profile (OMPS_LP). The comparisons reveal that the correlation coefficient R values for the inversion results based on GEOS-Chem were greater than 0.90 at most altitudes, making them better than the values based on TpO3 climatology. The differences in subcolumn concentration between the GEOS-Chem inversion results and the ground-based measurements were smaller than those between TpO3 climatology results and the ground-based measurements. The relative differences between the inversion results based on the GEOS-Chem and the satellite products was generally smaller than those between the inversion results based on TpO3 climatology and the satellite products. The mean relative difference between the GEOS-Chem inversion results and MLS is −9.10%, and OMPS_LP is 1.46%, while those based on TpO3 climatology is −14.51% and −4.70% from 20 to 45 km These results imply that using a priori ozone profiles generated through GEOS-Chem leads to more accurate inversion results.
Keywords: ozone-profile retrieval; GEOS-Chem; the middle and upper atmosphere ozone-profile retrieval; GEOS-Chem; the middle and upper atmosphere

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MDPI and ACS Style

An, Y.; Wang, X.; Ye, H.; Shi, H.; Wu, S.; Li, C.; Sun, E. Ozone Profile Retrieval Algorithm Based on GEOS-Chem Model in the Middle and Upper Atmosphere. Remote Sens. 2024, 16, 1335. https://doi.org/10.3390/rs16081335

AMA Style

An Y, Wang X, Ye H, Shi H, Wu S, Li C, Sun E. Ozone Profile Retrieval Algorithm Based on GEOS-Chem Model in the Middle and Upper Atmosphere. Remote Sensing. 2024; 16(8):1335. https://doi.org/10.3390/rs16081335

Chicago/Turabian Style

An, Yuan, Xianhua Wang, Hanhan Ye, Hailiang Shi, Shichao Wu, Chao Li, and Erchang Sun. 2024. "Ozone Profile Retrieval Algorithm Based on GEOS-Chem Model in the Middle and Upper Atmosphere" Remote Sensing 16, no. 8: 1335. https://doi.org/10.3390/rs16081335

APA Style

An, Y., Wang, X., Ye, H., Shi, H., Wu, S., Li, C., & Sun, E. (2024). Ozone Profile Retrieval Algorithm Based on GEOS-Chem Model in the Middle and Upper Atmosphere. Remote Sensing, 16(8), 1335. https://doi.org/10.3390/rs16081335

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