Comparison of Suomi-NPP OMPS total column ozone with Brewer and Dobson spectrophotometers measurements

Abstract

The objective of this study is to evaluate the accuracy of the daily nadir total column ozone products derived from the nadir mapper instrument on the Ozone Mapping and Profiler Suite (OMPS) flying onboard the Suomi National Polar-orbiting Partnership satellite (S-NPP) launched as a part of the Joint Polar Satellite System (JPSS) program between NOAA and NASA. Since NOAA is already operationally processing OMPS nadir total ozone products, evaluations were made in this study on the total column ozone research products generated by NASA’s science team, utilizing the latest version of their Backscatter Ultraviolet (BUV) retrieval algorithms, to provide insight into the performance of the operation system. Comparisons were made with globally distributed ground-based Brewer and Dobson spectrophotometer total column ozone measurements. Linear regressions show fair agreement between OMPS and ground-based total column ozone measurements with a root-mean-square error (RMSE) of approximately 3% (10 DU). The comparison results indicate that the OMPS total column ozone data are 0.59% higher than the Brewer measurements with a standard deviation of 2.82% while 1.09% higher than the Dobson measurements with a standard deviation of 3.27%. Additionally, the variability of relative differences between OMPS and ground total column ozone were analyzed as a function of latitude, time, viewing geometry, and total column ozone value. Results show a 2% bias over most latitudes and viewing conditions when total column ozone value varies between 220 DU and 450 DU.

Graphical abstract

Keywords

ozone mapping and profiler suite / total column ozone / Brewer / Dobson

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 41101037), the National Basic Research Program of China (No. 2010CB951603), the Key Project of Science and Technology Commission of Shanghai Municipality (No.13231203804), and the Fundamental Research Funds for the Central Universities (East China Normal University). The authors thank the Goddard Earth Sciences Data and Information Services Center and the World Ozone and Ultraviolet Data Center for their data support.

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