Evaluation of the consistency of OMI-TOMS total ozone with collocated ground-based measurements

Mingliang Ma; Runhe Shi; Kaixu Bai; Chaoshun Liu; Wei Gao; Zhibin Sun

doi:10.1117/12.2238604

19 September 2016 Evaluation of the consistency of OMI-TOMS total ozone with collocated ground-based measurements

Mingliang Ma, Runhe Shi, Kaixu Bai, Chaoshun Liu, Wei Gao, Zhibin Sun

Proceedings Volume 9975, Remote Sensing and Modeling of Ecosystems for Sustainability XIII; 99750W (2016) https://doi.org/10.1117/12.2238604
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

As Ozone Monitoring Instrument (OMI) onboard the Aura satellite has provided global scale ozone measurements on a daily basis since 2004, the long-term stability and consistency of ozone retrievals is thus of critical importance, especially for the ozone recovery assessment. This study aims to evaluate the long-term stability of total ozone derived from the OMI Total Ozone Mapping Spectrometer (OMI-TOMS) algorithm, by comparing with collocated ground-based total ozone measurements recorded from 42Dobson spectrophotometers during the period 2004-2015. It is indicative that the OMI-TOMS total ozone is in good agreement with collocated ground-based measurements, with a R² of 0.96 and root mean square error (RMSE) of 3.3%. Further investigations show that the OMI-TOMS total ozone is of quality, as no significant latitude dependence is observed. In the past 12 years, the OMI-TOMS total ozone is highly consistent with the ground-based Dobson total ozone, with a variation of mean relative difference less than 1%. In general, the OMI-TOMS total ozone performs well and can be used with confidence.

Citation Download Citation

Mingliang Ma, Runhe Shi, Kaixu Bai, Chaoshun Liu, Wei Gao, and Zhibin Sun "Evaluation of the consistency of OMI-TOMS total ozone with collocated ground-based measurements", Proc. SPIE 9975, Remote Sensing and Modeling of Ecosystems for Sustainability XIII, 99750W (19 September 2016); https://doi.org/10.1117/12.2238604

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KEYWORDS

Ozone

Satellites

Ultraviolet radiation

Algorithm development

Environmental sensing

Neodymium

Remote sensing

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