On the estimation of stratospheric age of air from correlations of multiple trace gases

Abstract. The stratospheric circulation is an important element in the climate system, but observational constraints are prone to significant uncertainties due to the low circulation velocities and uncertainties in available trace gas measurements. Here, we propose a method to calculate mean age of air as a measure of the circulation from observations of multiple trace gas species which are reliably measurable by satellite instruments, like trichlorofluoromethane (CFC-11), dichlorodifluoromethane (CFC-12), chlorodifluoromethane (HCFC-22), methane (CH4), nitrous oxide (N2O), and sulfur hexafluoride (SF6), and we show that this method works well in most of the lower stratosphere up to a height of about 25 km. The method is based on the compact correlations of these gases with mean age. Methodological uncertainties include effects of atmospheric variability, non-compactness of the correlation, and measurement related effects inherent for satellite instruments. The multi-species age calculation method is evaluated in a model environment and compared against the actual model age from an idealized clock tracer. We show that combination of the six chosen species reduces the resulting uncertainty of derived mean age to below 0.3 years throughout most regions in the lower stratosphere. Even small-scale, seasonal features in the global age distribution can be reliably diagnosed. The new correlation method is further applied to trace gas measurements with the balloon-borne Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA-B) instrument. The corresponding deduced mean age profiles agree reliably with SF6-based mean age below about 22 km and show significantly lower uncertainty ranges. Comparison between observation-based and model-simulated mean ages indicates a slow-biased circulation in the ERA5 reanalysis. Overall, the proposed mean age calculation method shows promise to substantially reduce the uncertainty in mean age estimates from satellite trace gas observations.

Authors

Institutions

Publication Details

Journal
Atmospheric chemistry and physics
Published
2025-03-25
DOI
https://doi.org/10.5194/acp-25-3541-2025
Citations
3
Primary Topic
Atmospheric Ozone and Climate
Type
article
Field-Weighted Citation Impact
3.90

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the estimation of stratospheric age of air from correlations of multiple trace gases

Michael Höpfner, Björn‐Martin Sinnhuber, G. Wetzel, Bernd Funke et al.
3 citations
Atmospheric chemistry and physics
Atmospheric Ozone and Climate
3.90
article

On the estimation of stratospheric age of air from correlations of multiple trace gases

Michael Höpfner, Björn‐Martin Sinnhuber, G. Wetzel, Bernd Funke, Jörn Ungermann, Johannes C. Laube, G. P. Stiller, Michaela I. Hegglin, Eric Ray, Sören Johansson, Paul Konopka, Felix Ploeger, Jens‐Uwe Grooß, Peter Preusse, Florian Voet
article en
3 citations

Abstract

Abstract. The stratospheric circulation is an important element in the climate system, but observational constraints are prone to significant uncertainties due to the low circulation velocities and uncertainties in available trace gas measurements. Here, we propose a method to calculate mean age of air as a measure of the circulation from observations of multiple trace gas species which are reliably measurable by satellite instruments, like trichlorofluoromethane (CFC-11), dichlorodifluoromethane (CFC-12), chlorodifluoromethane (HCFC-22), methane (CH4), nitrous oxide (N2O), and sulfur hexafluoride (SF6), and we show that this method works well in most of the lower stratosphere up to a height of about 25 km. The method is based on the compact correlations of these gases with mean age. Methodological uncertainties include effects of atmospheric variability, non-compactness of the correlation, and measurement related effects inherent for satellite instruments. The multi-species age calculation method is evaluated in a model environment and compared against the actual model age from an idealized clock tracer. We show that combination of the six chosen species reduces the resulting uncertainty of derived mean age to below 0.3 years throughout most regions in the lower stratosphere. Even small-scale, seasonal features in the global age distribution can be reliably diagnosed. The new correlation method is further applied to trace gas measurements with the balloon-borne Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA-B) instrument. The corresponding deduced mean age profiles agree reliably with SF6-based mean age below about 22 km and show significantly lower uncertainty ranges. Comparison between observation-based and model-simulated mean ages indicates a slow-biased circulation in the ERA5 reanalysis. Overall, the proposed mean age calculation method shows promise to substantially reduce the uncertainty in mean age estimates from satellite trace gas observations.

Atmospheric chemistry and physicsVol. 25(6)
Karlsruhe Institute of Technology (DE), Cooperative Institute for Research in Environmental Sciences (US), University of Wuppertal (DE), Forschungszentrum Jülich (DE), University of Colorado Boulder (US), NOAA Chemical Sciences Laboratory (US), Instituto de Astrofísica de Andalucía (ES), University of Reading (GB)
European Space Agency, Deutsche Forschungsgemeinschaft, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
Openalex Percentile: Top 8%
Atmospheric Ozone and Climate
3.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.