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@ARTICLE{CostaSurs:888753,
author = {Costa-Surós, Montserrat and Sourdeval, Odran and
Acquistapace, Claudia and Baars, Holger and Carbajal Henken,
Cintia and Genz, Christa and Hesemann, Jonas and Jimenez,
Cristofer and König, Marcel and Kretzschmar, Jan and
Madenach, Nils and Meyer, Catrin I. and Schrödner, Roland
and Seifert, Patric and Senf, Fabian and Brueck, Matthias
and Cioni, Guido and Engels, Jan Frederik and Fieg, Kerstin
and Gorges, Ksenia and Heinze, Rieke and Siligam, Pavan
Kumar and Burkhardt, Ulrike and Crewell, Susanne and Hoose,
Corinna and Seifert, Axel and Tegen, Ina and Quaas,
Johannes},
title = {{D}etection and attribution of aerosol–cloud interactions
in large-domain large-eddy simulations with the
{ICO}sahedral {N}on-hydrostatic model},
journal = {Atmospheric chemistry and physics},
volume = {20},
number = {9},
issn = {1680-7324},
address = {Katlenburg-Lindau},
publisher = {EGU},
reportid = {FZJ-2020-05182},
pages = {5657 - 5678},
year = {2020},
abstract = {Clouds and aerosols contribute the largest uncertainty to
current estimates and interpretations of the Earth’s
changing energy budget. Here we use a new-generation
large-domain large-eddy model, ICON-LEM (ICOsahedral
Non-hydrostatic Large Eddy Model), to simulate the response
of clouds to realistic anthropogenic perturbations in
aerosols serving as cloud condensation nuclei (CCN). The
novelty compared to previous studies is that (i) the LEM is
run in weather prediction mode and with fully interactive
land surface over a large domain and (ii) a large range of
data from various sources are used for the detection and
attribution. The aerosol perturbation was chosen as
peak-aerosol conditions over Europe in 1985, with more than
fivefold more sulfate than in 2013. Observational data from
various satellite and ground-based remote sensing
instruments are used, aiming at the detection and
attribution of this response. The simulation was run for a
selected day (2 May 2013) in which a large variety of cloud
regimes was present over the selected domain of central
Europe.It is first demonstrated that the aerosol fields used
in the model are consistent with corresponding satellite
aerosol optical depth retrievals for both 1985 (perturbed)
and 2013 (reference) conditions. In comparison to retrievals
from ground-based lidar for 2013, CCN profiles for the
reference conditions were consistent with the observations,
while the ones for the 1985 conditions were not.Similarly,
the detection and attribution process was successful for
droplet number concentrations: the ones simulated for the
2013 conditions were consistent with satellite as well as
new ground-based lidar retrievals, while the ones for the
1985 conditions were outside the observational range.For
other cloud quantities, including cloud fraction, liquid
water path, cloud base altitude and cloud lifetime, the
aerosol response was small compared to their natural
variability. Also, large uncertainties in satellite and
ground-based observations make the detection and attribution
difficult for these quantities. An exception to this is the
fact that at a large liquid water path value (LWP
> 200 g m-²), the control simulation matches the
observations, while the perturbed one shows an LWP which is
too large.The model simulations allowed for quantifying the
radiative forcing due to aerosol–cloud interactions, as
well as the adjustments to this forcing. The latter were
small compared to the variability and showed overall a small
positive radiative effect. The overall effective radiative
forcing (ERF) due to aerosol–cloud interactions (ERFaci)
in the simulation was dominated thus by the Twomey effect
and yielded for this day, region and aerosol perturbation
−2.6 W m-². Using general circulation models to scale
this to a global-mean present-day vs. pre-industrial ERFaci
yields a global ERFaci of −0.8 W m-².},
cin = {JSC},
ddc = {550},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511) / High-resolution simulations with the ICON large
eddy model $(jjsc31_20191101)$},
pid = {G:(DE-HGF)POF3-511 / $G:(DE-Juel1)jjsc31_20191101$},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000535189200006},
doi = {10.5194/acp-20-5657-2020},
url = {https://juser.fz-juelich.de/record/888753},
}