Preprints
https://doi.org/10.5194/amt-2021-203
https://doi.org/10.5194/amt-2021-203

  23 Sep 2021

23 Sep 2021

Review status: this preprint is currently under review for the journal AMT.

Optimized Umkehr profile algorithm for ozone trend analyses

Irina Petropavlovskikh1,2, Koji Miyagawa2, Audra McClure-Beegle1,2, Bryan Johnson2, Jeannette Wild3,4, Susan Strahan5,6, Krzysztof Wargan6,7, Richard Querel8, Lawrence Flynn9, Eric Beach10, Gerard Ancellet11, and Sophie Godin-Beekmann11 Irina Petropavlovskikh et al.
  • 1CIRES, University of Colorado, Boulder, 80306, USA
  • 2NOAA GML, Boulder, 80305, USA
  • 3CISESS, University of Maryland, College Park, MD, 20740, USA
  • 4NOAA/NWS/NCEP/CPC, College Park, MD 20740, USA
  • 5USRA, Columbia, MD 21046, USA
  • 6NASA GSFC, Greenbelt, MD 20771, USA
  • 7Science Systems and Applications, Inc., Lanham, MD 20706, USA
  • 8The National Institute of Water and Atmospheric Research Ltd.: Lauder, NZ
  • 9NOAA Center for Satellite Applications and Research, STAR, College Park, MD, United States
  • 10IMSG, College Park, MD, United States
  • 11Sevice d'Aeronomie, CNRS, France

Abstract. The long-term record of Umkehr measurements from four NOAA Dobson spectrophotometers was reprocessed after updates to the instrument calibration procedures. In addition, a new data quality-control tool was developed for the Dobson automation software (WinDobson). This paper presents a comparison of Dobson Umkehr ozone profiles from NOAA ozone network stations (Boulder, OHP, MLO, Lauder) against several satellite records, including Aura Microwave Limb Sounder (MLS; ver. 4.2), and combined SBUV and OMPS records (NASA AGG and NOAA COH). A subset of satellite data is selected to match Dobson Umkehr observations at each station spatially (distance less than 200 km) and temporally (within 24 hours). Umkehr Averaging Kernels (AKs) are applied to vertically smooth all overpass satellite profiles prior to comparisons. The station Umkehr record consists of several instrumental records, which have different optical characterizations, and thus instrument-specific stray light contributes to the data processing errors and creates step changes in the record. This work evaluates the overall quality of Umkehr long-term measurements at NOAA ground-based stations and assesses the impact of the instrumental changes on the stability of the Umkehr ozone profile record. This paper describes a method designed to correct biases and discontinuities in the retrieved Umkehr profile that originate from the Dobson calibration process, repair, or optical realignment of the instrument. The M2GMI and GMI CTM ozone profile model output matched to station location and date of observation is used to evaluate instrumental step changes in the Umkehr record. Homogenization of the Umkehr record and discussion of the apparent stray light error in retrieved ozone profiles are the focus of this paper. Homogenization of ground-based records is of great importance for studies of long-term ozone trends and climate change.

Irina Petropavlovskikh et al.

Status: open (until 28 Oct 2021)

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Irina Petropavlovskikh et al.

Irina Petropavlovskikh et al.

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Short summary
Montreal protocol and its amendments assure the recovery of the stratospheric ozone layer that protects the Earth from harmful Ultraviolet radiation. To monitor ozone recovery, multiple satellites and ground-based observational platforms collect ozone data. The changes in instruments can influence the continuation of the ozone data. We discuss a method to remove instrumental artifacts from ozone records to improve the internal consistency among multiple observational records.