Atmospheric Measurement Techniques (Mar 2024)

Tropospheric ozone column dataset from OMPS-LP/OMPS-NM limb–nadir matching

  • A. Orfanoz-Cheuquelaf,
  • C. Arosio,
  • A. Rozanov,
  • M. Weber,
  • A. Ladstätter-Weißenmayer,
  • J. P. Burrows,
  • A. M. Thompson,
  • A. M. Thompson,
  • R. M. Stauffer,
  • D. E. Kollonige,
  • D. E. Kollonige

DOI
https://doi.org/10.5194/amt-17-1791-2024
Journal volume & issue
Vol. 17
pp. 1791 – 1809

Abstract

Read online

A tropospheric ozone column (TrOC) dataset from the Ozone Mapping and Profiler Suite (OMPS) observations was generated by combining the retrieved total ozone column from OMPS – Nadir Mapper (OMPS-NM) and limb profiles from OMPS – Limb Profiler (OMPS-LP) data. All datasets were generated at the University of Bremen, and the TrOC product was obtained by applying the limb–nadir matching technique (LNM). The retrieval algorithm and a comprehensive analysis of the uncertainty budget are presented here. The OMPS-LNM-TrOC dataset (2012–2018) is analysed and validated through comparison with ozonesondes, tropospheric ozone residual (TOR) data from the combined Ozone Monitoring Instrument/Microwave Limb Sounder (OMI/MLS) observations, and the TROPOspheric Monitoring Instrument (TROPOMI) Convective Cloud Differential technique (CCD) dataset. The OMPS-LNM TrOC is generally lower than the other datasets. The average bias with respect to ozonesondes is −1.7 DU with no significant latitudinal dependence identified. The mean difference with respect to OMI/MLS TOR and TROPOMI CCD is −3.4 and −1.8 DU, respectively. The seasonality and inter-annual variability are in good agreement with all comparison datasets.