Stratospheric Transit Time Distributions Derived from Satellite Water
Vapor Measurements
Abstract
Stratospheric transit time distributions (age-of-air spectra) are
estimated using satellite water vapor (H2O) measurements from the
Microwave Limb Sounder over 2004-2021 assuming stationary transport.
Latitude-altitude dependent spectra are derived from correlations of
interannual H2O anomalies with respect to the tropical tropopause source
region, fitted with an inverse Gaussian distribution function. The
reconstructions accurately capture interannual H2O variability in the
‘tropical pipe’ and global lower stratosphere, regions of relatively
fast transport (~1-2 years) in the Brewer-Dobson
circulation. The calculations provide novel observational estimates of
the corresponding ‘short transit-time’ part of the age spectrum in these
regions, including the mode. However, the H2O results do not constrain
the longer transit-time ‘tail’ of the age spectra, and the mean age of
air and spectral widths are systematically underestimated compared to
other data. We compare observational results with parallel calculations
applied to the WACCM chemistry-climate model and the CLaMS
chemistry-transport model, and additionally evaluate the method in CLaMS
by comparing with spectra from idealized pulse tracers. Because the age
spectra accurately capture H2O interannual variations originating from
the tropical tropopause, they can be used to identify ‘other’ sources of
variability in the lower stratosphere, and we use these calculations to
quantify H2O anomalies in the Southern Hemisphere linked to the
Australian New Years fires in early 2020 and the Hunga volcanic eruption
in 2022.