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@ARTICLE{Konopka:1049203,
author = {Konopka, Paul and Ploeger, Felix and D'Amato, Francesco and
Campos, Teresa and von Hobe, Marc and Honomichl, Shawn B.
and Hoor, Peter and Pan, Laura L. and Santee, Michelle L.
and Viciani, Silvia and Walker, Kaley A. and Hegglin,
Michaela I.},
title = {{I}sentropic mixing vs. convection in
{CL}a{MS}-3.0/{MESS}y: evaluation using satellite
climatologies and in situ carbon monoxide observations},
journal = {Atmospheric chemistry and physics},
volume = {25},
number = {23},
issn = {1680-7316},
address = {Katlenburg-Lindau},
publisher = {EGU},
reportid = {FZJ-2025-05285},
pages = {17973 - 17996},
year = {2025},
abstract = {Lagrangian modeling of transport, as implemented in the
Chemical Lagrangian Model of the Stratosphere (CLaMS),
connects the advective (reversible) component of transport
along 3D trajectories with mixing, the irreversible
component. Here, we investigate the interplay between
strongly localized convective uplifts and large-scale flow
dynamics in the upper troposphere and lower stratosphere
(UTLS). We revisit the Lagrangian formulation of convection
in CLaMS-3.0/MESSy, driven by ECMWF's ERA5 reanalysis, and
further develop the model. These developments include
refining spatial resolution in the Planetary Boundary Layer
(PBL) and decoupling the frequency of the adaptive grid
procedure – which captures isentropic mixing and redefines
Lagrangian air parcels – from the parameterization of
convection.To improve the model's UTLS transport
representation, particularly from the PBL over days to
weeks, we derive zonally and seasonally resolved
climatologies of CO partial columns (XCO, spanning
147–68 hPa) and compare them with Microwave Limb Sounder
(MLS) and Atmospheric Chemistry Experiment Fourier Transform
Spectrometer (ACE-FTS) observations, as well as in situ
data. Incorporating a parameterization for unresolved
convection significantly improves CO anomaly representation
in the UTLS, particularly in capturing seasonal and spatial
patterns. While the simulated absolute XCO values align
better with ACE-FTS, the model reproduces MLS anomalies more
accurately, suggesting MLS better represents CO variability.
In situ observations in the boreal polar region generally
support lower ACE-FTS CO values, while MLS better represents
CO enhancements in air affected by the Asian summer monsoon
above 10 km.},
cin = {ICE-4},
ddc = {550},
cid = {I:(DE-Juel1)ICE-4-20101013},
pnm = {2112 - Climate Feedbacks (POF4-211)},
pid = {G:(DE-HGF)POF4-2112},
typ = {PUB:(DE-HGF)16},
doi = {10.5194/acp-25-17973-2025},
url = {https://juser.fz-juelich.de/record/1049203},
}