27 Feb 2023
 | 27 Feb 2023
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

An Approach to Track Instrument Calibration and Produce Consistent Products with the Version-8 Total Column Ozone Algorithm (V8TOZ)

Zhihua Zhang, Jianguo Niu, Lawrence Flynn, Eric Beach, and Trevor Beck

Abstract. The Ozone Mapping and Profiler Suite (OMPS) has been onboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite since October 2011, and was followed by an OMPS on NOAA-20 (N20) in November 2017, as part of the US Joint Polar Satellite System (JPSS) program. The OMPS measurements are processed to yield various products of atmospheric composition data for near-real-time monitoring and off-line study, including retrievals of total column ozone (TCO) and an Ultraviolet absorbing aerosol index (AI) based on the version-8 total ozone (V8TOZ) algorithm. With the implementation of changes to employ a broadband channel approach in the NOAA OMPS V8TOZ, the retrieved TCO and AI products become more stable and consistent between S-NPP and N20. Two particular regions have been chosen for building soft-calibration adjustments for both OMPS S-NPP and N20, which force the V8TOZ retrievals to be in quite good agreement from both sensors with little change by seasons. However, bias analysis shows that some noticeable errors / differences still exist after soft-calibration, and those errors appear to be quite persistently associated with solar zenith angle (SZA) and satellite viewing angle (SVA) in the retrievals of TCO and AI for both OMPS S-NPP and N20. Comparisons of TCO and AI from NOAA OMPS retrievals with other products such as those from the Tropospheric Monitoring Instrument (TROPOMI) and the Earth Polychromatic Imaging Camera (EPIC), show that, although the sensor, algorithm and solar spectra are different among them, the overall retrievals from those products are quite similar and consistent.

Zhihua Zhang et al.

Status: open (until 03 Apr 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1500', Anonymous Referee #1, 17 Mar 2023 reply
  • RC2: 'Comment on egusphere-2022-1500', Anonymous Referee #2, 20 Mar 2023 reply

Zhihua Zhang et al.

Zhihua Zhang et al.


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Short summary
This study mainly focused on addressing the stability and improvement when using broadband approach; establishing soft-calibration adjustments for both OMPS S-NPP and N20; analyzing error biases based on multi-sensor bias correction; and comparing total column ozone and aerosol index retrievals from NOAA OMPS with those from other products.