Articles | Volume 15, issue 6
https://doi.org/10.5194/amt-15-1849-2022
https://doi.org/10.5194/amt-15-1849-2022
Research article
 | 
28 Mar 2022
Research article |  | 28 Mar 2022

Optimized Umkehr profile algorithm for ozone trend analyses

Irina Petropavlovskikh, Koji Miyagawa, Audra McClure-Beegle, Bryan Johnson, Jeannette Wild, Susan Strahan, Krzysztof Wargan, Richard Querel, Lawrence Flynn, Eric Beach, Gerard Ancellet, and Sophie Godin-Beekmann

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Cited articles

Abalos, M., Polvani, L., Calvo, N., Kinnison, D., Ploeger, F., Randel, W.,and Solomon, S.: New insights on the impact of ozone-depleting substances on the Brewer-Dobson circulation, J. Geophys. Res.-Atmos., 124, 2435–2451, https://doi.org/10.1029/2018JD029301, 2019. 
Bai, K., Liu, C., Shi, R., and and Gao, W.: Comparison of Suomi-NPP OMPS total column ozone with Brewer and Dobson spectrophotometers measurements, Front. Earth Sci., 9, 369–380, https://doi.org/10.1007/s11707-014-0480-5, 2015. 
Ball, W. T., Alsing, J., Staehelin, J., Davis, S. M., Froidevaux, L., and Peter, T.: Stratospheric ozone trends for 1985–2018: sensitivity to recent large variability, Atmos. Chem. Phys., 19, 12731–12748, https://doi.org/10.5194/acp-19-12731-2019, 2019. 
Ball, W. T., Chiodo, G., Abalos, M., Alsing, J., and Stenke, A.: Inconsistencies between chemistry–climate models and observed lower stratospheric ozone trends since 1998, Atmos. Chem. Phys., 20, 9737–9752, https://doi.org/10.5194/acp-20-9737-2020, 2020. 
Bass, A. M. and Paur, R. J.: The ultraviolet cross-sections of ozone: I. The measurements in Atmospheric ozone, edited by: Zerefos, C. S. and Ghazi, A., Reidel, Dordrecht, Boston, Lancaster, 606–610, https://doi.org/10.1007/978-94-009-5313-0_120, 1985. 
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Short summary
The Montreal Protocol and its amendments assure the recovery of the stratospheric ozone layer that protects the Earth from harmful ultraviolet radiation. To monitor ozone recovery, multiple satellites and ground-based observational platforms collect ozone data. The changes in instruments can influence the continuation of the ozone data. We discuss a method to remove instrumental artifacts from ozone records to improve the internal consistency among multiple observational records.