Consistency between zonal mean stratospheric and total column ozone trends (2000–2024)
Year: 2026
Type: article
Abstract: . This study presents an updated assessment of stratospheric and total column ozone trends over the 2000–2024 period using six merged limb-profile datasets and six merged total ozone datasets. Long-term changes were quantified using a multiple linear regression framework that accounts for dynamical and chemical variability. In addition to standard regressors (solar cycle, QBO, ENSO, stratospheric aerosol optical depth), we include Arctic and Antarctic Oscillation indices and the eddy heat flux in each hemisphere as proxies for dynamic variability. Volcanic (and wildfire) aerosol forcing is represented by separate proxies for three periods dominated by the major volcanic events of El Chichón, Pinatubo, and post-2000 volcanic eruptions, including Hunga-Tonga. These period-specific proxies are employed to better account for varying dynamical ozone responses that largely depend on the season and location of the eruptions. All profile datasets consistently show positive trends in the upper stratosphere, with the strongest ozone recovery in southern mid-latitudes, in agreement with other studies. In the lower stratosphere, trends remain weak, spatially heterogeneous, and predominantly negative. A comparison of stratospheric column trends derived from profile data with total ozone trends shows close agreement across latitude bands. Within the trend uncertainties, total column trends since 2000 are largely driven by stratospheric ozone changes, while tropospheric contributions to zonal-mean total ozone trends (the difference between total and stratospheric column trends) appear negligible. The extended regression framework improves the representation of recent dynamical variability and provides an updated perspective on stratospheric ozone recovery through 2024.
Institutions: University of Bremen, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), NOAA Chemical Sciences Laboratory, University of Saskatchewan, Goddard Space Flight Center, Adnet Systems (United States), Jet Propulsion Laboratory, Environment and Climate Change Canada, Finnish Meteorological Institute, Royal Netherlands Meteorological Institute, National Oceanic and Atmospheric Administration, NOAA National Environmental Satellite Data and Information Service, NOAA Center for Satellite Applications and Research, Earth System Science Interdisciplinary Center, University of Maryland, College Park
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $1,725
Awards: G3648211085, G3865539373, G8105715903
OpenAlex ID: W7214062939
