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@ARTICLE{Hauck:878699,
author = {Hauck, Marius and Bönisch, Harald and Hoor, Peter and
Keber, Timo and Ploeger, Felix and Schuck, Tanja J. and
Engel, Andreas},
title = {{A} convolution of observational and model data to estimate
age of air spectra in the northern hemispheric lower
stratosphere},
journal = {Atmospheric chemistry and physics},
volume = {20},
number = {14},
issn = {1680-7324},
address = {Katlenburg-Lindau},
publisher = {EGU},
reportid = {FZJ-2020-03017},
pages = {8763 - 8785},
year = {2020},
abstract = {Derivation of mean age of air (AoA) and age spectra from
atmospheric measurements remains a challenge and often
requires output from atmospheric models. This study tries to
minimize the direct influence of model output and presents
an extension and application of a previously established
inversion method to derive age spectra from mixing ratios of
long- and short-lived trace gases. For a precise description
of cross-tropopause transport processes, the inverse method
is extended to incorporate air entrainment into the
stratosphere across the tropical and extratropical
tropopause. We first use simulations with the Chemical
Lagrangian Model of the Stratosphere (CLaMS) to provide a
general proof of concept of the extended principle in a
controllable and consistent environment, where the method is
applied to an idealized set of 10 trace gases with
predefined constant lifetimes and compared to reference
model age spectra. In the second part of the study we apply
the extended inverse method to atmospheric measurements of
multiple long- and short-lived trace gases measured aboard
the High Altitude and Long Range (HALO) research aircraft
during the two research campaigns
POLSTRACC–GW-LCYCLE–SALSA (PGS) and Wave-driven
Isentropic Exchange (WISE). As some of the observed species
undergo significant loss processes in the stratosphere, a
Monte Carlo simulation is introduced to retrieve age spectra
and chemical lifetimes in stepwise fashion and to account
for the large uncertainties. Results show that in the
idealized model scenario the inverse method retrieves age
spectra robustly on annual and seasonal scales. The
extension to multiple entry regions proves reasonable as our
CLaMS simulations reveal that in the model between $50 \%$
and $70 \%$ of air in the lowermost stratosphere has
entered through the extratropical tropopause (30–90∘ N
and S) on annual average. When applied to observational data
of PGS and WISE, the method derives age spectra and mean AoA
with meaningful spatial distributions and quantitative
range, yet large uncertainties. Results indicate that
entrainment of fresh tropospheric air across both the
extratropical and tropical tropopause peaked prior to both
campaigns, but with lower mean AoA for WISE than PGS data.
The ratio of moments for all retrieved age spectra for PGS
and WISE is found to range between 0.52 and 2.81 years. We
conclude that the method derives reasonable and consistent
age spectra using observations of chemically active trace
gases. Our findings might contribute to an improved
assessment of transport with age spectra in future studies.},
cin = {IEK-7},
ddc = {550},
cid = {I:(DE-Juel1)IEK-7-20101013},
pnm = {244 - Composition and dynamics of the upper troposphere and
middle atmosphere (POF3-244)},
pid = {G:(DE-HGF)POF3-244},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000555471200001},
doi = {10.5194/acp-20-8763-2020},
url = {https://juser.fz-juelich.de/record/878699},
}