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Detection of ozone recovery in the Arctic from ground-based measurements

  • Caroline Jonas
  • , Corinne Vigouroux
  • , Bavo Langerock
  • , Robin Björklund
  • , Anne Boynard
  • , Thomas Carlund
  • , Martine De Mazière
  • , Peter Effertz
  • , Quentin Errera
  • , Matthias M. Frey
  • , José Granville
  • , James W. Hannigan
  • , Arno Keppens
  • , Nis Jepsen
  • , Rigel Kivi
  • , Norrie Lyall
  • , Mathias Palm
  • , Maxime Prignon
  • , Viktoria F. Sofieva
  • , Kimberly Strong
  • Tove Svendby, David Tarasick, Laura Thölix, Roeland Van Malderen, Yana Virolainen, Sibylle von Löwis, Xiaoyi Zhao
  • Royal Belgian Institute for Space Aeronomy
  • University of Antwerp
  • Sorbonne Université
  • SPASCIA
  • Swedish Meteorological and Hydrological Institute
  • University of Colorado Boulder
  • Karlsruhe Institute of Technology
  • National Center for Atmospheric Research
  • Danish Meteorological Institute
  • Finnish Meteorological Institute
  • Met Office
  • University of Bremen
  • Chalmers University of Technology
  • University of Toronto
  • Norwegian Institute for Air Research
  • Université Laval and Environment and Climate Change Canada
  • Royal Meteorological Institute of Belgium
  • St. Petersburg State University
  • Meteorological Office of Iceland

Research output: Contribution to journalArticlepeer-review

Abstract

Contrary to the Antarctic, where ozone recovery has been observed for about a decade, the detection of positive ozone trends in the Arctic remains challenging due to higher natural variability of ozone in that region. Using a merging of long-term ozone data from Fourier transform infrared spectrometers, ozonesondes, and Dobson and Brewer spectrophotometers, we present regional long-term trends (2000–2024) for total, stratospheric and tropospheric ozone. First, ground-based measurements are cross-compared to two satellite data sets (MEGRIDOP and IASI-CDR). This enables the detection of drifts in ground-based data sets we further exclude from our study. We then use a representativeness study based on CAMS re-analysis data to define regions for which representative trends with reduced uncertainties are obtained by combining data sets from different instruments and stations. Annual and seasonal trends are calculated using a multiple linear regression technique involving a set of proxies that represent physical processes influencing the natural ozone variability. Annual trends indicate increasing total ozone over the Arctic, and are statistically significant over Canada and Reykjavik (+2.1 % per decade) and North-West Europe (Harestua and Lerwick, +0.7 % per decade). Ozone recovery is also observed over Canada in the mid-stratosphere (+2.0 % per decade) and over the North Pole region (Canada and Ny-Ålesund) in the upper stratosphere (+2.1 % per decade to +3.8 % per decade). By analyzing the sensitivity of the ozone trends to the proxies, we observe a slow down of the expected ozone recovery, especially in the lower stratosphere, due to stratospheric cooling (-0.6 % per decade) and to the increase of volume of polar stratospheric clouds (-0.8 % per decade).

Original languageEnglish
Pages (from-to)8089-8124
Number of pages36
JournalAtmospheric Chemistry and Physics
Volume26
Issue number11
DOIs
StatePublished - Jun 11 2026
Externally publishedYes

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