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@ARTICLE{Heinze:820975,
author = {Heinze, Rieke and Dipankar, Anurag and Carbajal Henken,
Cintia and Moseley, Christopher and Sourdeval, Odran and
Trömel, Silke and Xie, Xinxin and Adamidis, Panos and
Ament, Felix and Baars, Holger and Barthlott, Christian and
Behrendt, Andreas and Blahak, Ulrich and Bley, Sebastian and
Brdar, Slavko and Brueck, Matthias and Crewell, Susanne and
Deneke, Hartwig and Di Girolamo, Paolo and Evaristo, Raquel
and Fischer, Jürgen and Frank, Christopher and Friederichs,
Petra and Göcke, Tobias and Gorges, Ksenia and Hande, Luke
and Hanke, Moritz and Hansen, Akio and Hege, Hans-Christian
and Hoose, Corinna and Jahns, Thomas and Kalthoff, Norbert
and Klocke, Daniel and Kneifel, Stefan and Knippertz, Peter
and Kuhn, Alexander and van Laar, Thirza and Macke, Andreas
and Maurer, Vera and Mayer, Bernhard and Meyer, Catrin and
Muppa, Shravan K. and Neggers, Roeland A. J. and Orlandi,
Emiliano and Pantillon, Florian and Pospichal, Bernhard and
Röber, Niklas and Scheck, Leonhard and Seifert, Axel and
Seifert, Patric and Senf, Fabian and Siligam, Pavan and
Simmer, Clemens and Steinke, Sandra and Stevens, Bjorn and
Wapler, Kathrin and Weniger, Michael and Wulfmeyer, Volker
and Zängl, Günther and Zhang, Dan and Quaas, Johannes},
title = {{L}arge-eddy simulations over {G}ermany using {ICON}: {A}
comprehensive evaluation},
journal = {Quarterly journal of the Royal Meteorological Society},
volume = {143},
number = {702},
issn = {0035-9009},
address = {Weinheim [u.a.]},
publisher = {Wiley},
reportid = {FZJ-2016-06232},
pages = {69-100},
year = {2017},
abstract = {Large-eddy simulations (LES) with the new ICOsahedral
Non-hydrostatic atmosphere model (ICON) covering Germany are
evaluated for four days in spring 2013 using observational
data from various sources. Reference simulations with the
established Consortium for Small-scale Modelling (COSMO)
numerical weather prediction model and further standard LES
codes are performed and used as a reference. This
comprehensive evaluation approach covers multiple parameters
and scales focusing on boundary layer variables, clouds and
precipitation. The evaluation points to the need to work on
parameterisations influencing the surface energy balance,
and possibly on ice cloud microphysics. The central purpose
for the development and application of ICON in LES
configuration is the use of simulation results to improve
the understanding of moist processes, as well as their
parameterisation in climate models. The evaluation thus aims
at building confidence in the model's ability to simulate
small- to meso-scale variability in turbulence, clouds, and
precipitation. The results are encouraging: the
high-resolution model much better matches the observed
variability at small- to meso-scales than the
coarser-resolved reference model. In its highest grid
resolution, the simulated turbulence profiles are realistic,
and column water vapour matches the observed temporal
variability at short timescales. Despite being somewhat too
large and too frequent, small cumulus clouds are well
represented in comparison to satellite data, as is the shape
of the cloud size spectrum. Variability of cloud water
matches the satellite observations much better in ICON than
in the reference model. In this sense, it is concluded that
the model is fit for the purpose of using its output for
parameterisation development, despite the potential to
further improve important aspects of processes that are
parameterised also in the high-resolution model.},
cin = {JSC},
ddc = {550},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511)},
pid = {G:(DE-HGF)POF3-511},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000394990800006},
doi = {10.1002/qj.2947},
url = {https://juser.fz-juelich.de/record/820975},
}