Evaluation of the performance of Suomi-NPP OMPS nadir mapper products using station measurements and OMI data

Yiwei Zhang; Zhihua Mao; Bangyi Tao; Kaixu Bai; Peng Chen; Liangliang Shi; Haiqing Huang; Zheng Wang

doi:10.1117/1.JRS.12.042602

28 July 2018 Evaluation of the performance of Suomi-NPP OMPS nadir mapper products using station measurements and OMI data

Yiwei Zhang, Zhihua Mao, Bangyi Tao, Kaixu Bai, Peng Chen, Liangliang Shi, Haiqing Huang, Zheng Wang

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 12, Issue 4, 042602 (July 2018). https://doi.org/10.1117/1.JRS.12.042602

Abstract

Satellite remote sensing technology provides the only viable means for global monitoring of atmosphere systems, such as ozone. The ozone mapping and profiler suite (OMPS) onboard Suomi-NPP satellite, which was launched in the year 2011, has a primary purpose of measuring ozone. Suomi-NPP has been on operation for more than 3 years, and it is crucial to keep the satellite data precise and trusted. By using 17 months of satellite and ground-based total ozone column (TOC) data, this study performs an evaluation of OMPS products. Ozone monitoring instrument (OMI) data generated from a similar satellite instrument were also used to compare with the OMPS TOC data, and both the TOC products were generated using TOMS version 8.5 (TOMS-V8.5) algorithm. The evaluation consists of intercomparisons with ground-based Brewer measurements, similar satellite instruments, and accuracy analysis as a function of time and solar zenith angle. Results show that after 3 years of operation, OMPS-derived TOC data still have good correlation (R² > 0.99, RMSE = 1.51 % ) with ground-based measurements. The results also give some evidence that the OMPS TOC data have better accuracy than those from OMI using the same algorithm.

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Yiwei Zhang, Zhihua Mao, Bangyi Tao, Kaixu Bai, Peng Chen, Liangliang Shi, Haiqing Huang, and Zheng Wang "Evaluation of the performance of Suomi-NPP OMPS nadir mapper products using station measurements and OMI data," Journal of Applied Remote Sensing 12(4), 042602 (28 July 2018). https://doi.org/10.1117/1.JRS.12.042602

Received: 17 December 2017; Accepted: 7 May 2018; Published: 28 July 2018

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