Optimized Umkehr profile algorithm for ozone trend analyses

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, the Haute-Provence Observatory (OHP), the Mauna Loa Observatory (MLO), Lauder – against several satellite records, including Aura Microwave Limb Sounder (MLS; ver. 4.2), and combined solar backscatter ultraviolet (SBUV) and Ozone Mapping and Profiler Suite (OMPS) records (NASA aggregated and NOAA cohesive datasets). 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 h). 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 Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) Global Modeling Initiative (M2GMI) and NASA Global Modeling Initiative chemistry transport model (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.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Optimized Umkehr profile algorithm for ozone trend analyses ; volume:15 ; number:6 ; year:2022 ; pages:1849-1870 ; extent:22
Atmospheric measurement techniques ; 15, Heft 6 (2022), 1849-1870 (gesamt 22)

Creator
Petropavlovskikh, Irina
Miyagawa, Koji
McClure-Beegle, Audra
Johnson, Bryan
Wild, Jeannette
Strahan, Susan
Wargan, Krzysztof
Querel, Richard
Flynn, Lawrence
Beach, Eric
Ancellet, Gerard
Godin-Beekmann, Sophie

DOI
10.5194/amt-15-1849-2022
URN
urn:nbn:de:101:1-2022040110113299275275
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:24 AM CEST

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Associated

  • Petropavlovskikh, Irina
  • Miyagawa, Koji
  • McClure-Beegle, Audra
  • Johnson, Bryan
  • Wild, Jeannette
  • Strahan, Susan
  • Wargan, Krzysztof
  • Querel, Richard
  • Flynn, Lawrence
  • Beach, Eric
  • Ancellet, Gerard
  • Godin-Beekmann, Sophie

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