Large-eddy simulations over Germany using ICON: A comprehensive evaluation

dc.bibliographicCitation.firstPage69
dc.bibliographicCitation.issue702eng
dc.bibliographicCitation.lastPage100
dc.bibliographicCitation.volume143
dc.contributor.authorHeinze, Rieke
dc.contributor.authorDipankar, Anurag
dc.contributor.authorHenken, Cintia Carbajal
dc.contributor.authorMoseley, Christopher
dc.contributor.authorSourdeval, Odran
dc.contributor.authorTrömel, Silke
dc.contributor.authorXie, Xinxin
dc.contributor.authorAdamidis, Panos
dc.contributor.authorAment, Felix
dc.contributor.authorBaars, Holger
dc.contributor.authorBarthlott, Christian
dc.contributor.authorBehrendt, Andreas
dc.contributor.authorBlahak, Ulrich
dc.contributor.authorBley, Sebastian
dc.contributor.authorBrdar, Slavko
dc.contributor.authorBrueck, Matthias
dc.contributor.authorCrewell, Susanne
dc.contributor.authorDeneke, Hartwig
dc.contributor.authorDi Girolamo, Paolo
dc.contributor.authorEvaristo, Raquel
dc.contributor.authorFischer, Jürgen
dc.contributor.authorFrank, Christopher
dc.contributor.authorFriederichs, Petra
dc.contributor.authorGöcke, Tobias
dc.contributor.authorGorges, Ksenia
dc.contributor.authorHande, Luke
dc.contributor.authorHanke, Moritz
dc.contributor.authorHansen, Akio
dc.contributor.authorHege, Hans-Christian
dc.contributor.authorHoose, Corinna
dc.contributor.authorJahns, Thomas
dc.contributor.authorKalthoff, Norbert
dc.contributor.authorKlocke, Daniel
dc.contributor.authorKneifel, Stefan
dc.contributor.authorKnippertz, Peter
dc.contributor.authorKuhn, Alexander
dc.contributor.authorvan Laar, Thriza
dc.contributor.authorMacke, Andreas
dc.contributor.authorMaurer, Vera
dc.contributor.authorMayer, Bernhard
dc.contributor.authorMeyer, Catrin I.
dc.contributor.authorMuppa, Shravan K.
dc.contributor.authorNeggers, Roeland A.J.
dc.contributor.authorOrlandi, Emiliano
dc.contributor.authorPantillon, Florian
dc.contributor.authorPospichal, Bernhard
dc.contributor.authorRöber, Niklas
dc.contributor.authorScheck, Leonhard
dc.contributor.authorSeifert, Axel
dc.contributor.authorSeifert, Patric
dc.contributor.authorSenf, Fabian
dc.contributor.authorSiligam, Pavan
dc.contributor.authorSimmer, Clemens
dc.contributor.authorSteinke, Sandra
dc.contributor.authorStevens, Bjorn
dc.contributor.authorWapler, Kathrin
dc.contributor.authorWeniger, Michael
dc.contributor.authorWulfmeyer, Volker
dc.contributor.authorZängl, Günther
dc.contributor.authorZhangl, Dan
dc.contributor.authorQuaase, Johannes
dc.date.accessioned2018-02-01T06:45:57Z
dc.date.available2019-06-26T17:22:01Z
dc.date.issued2017
dc.description.abstractLarge-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 parametrizations influencing the surface energy balance, and possibly on ice cloud microphysics. The central purpose for the development and application of ICON in the LES configuration is the use of simulation results to improve the understanding of moist processes, as well as their parametrization in climate models. The evaluation thus aims at building confidence in the model's ability to simulate small- to mesoscale variability in turbulence, clouds and precipitation. The results are encouraging: the high-resolution model matches the observed variability much better at small- to mesoscales 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 time-scales. Despite being somewhat too large and too frequent, small cumulus clouds are well represented in comparison with 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 parametrization development, despite the potential to improve further some important aspects of processes that are also parametrized in the high-resolution model.eng
dc.description.versionpublishedVersioneng
dc.formatapplication/pdf
dc.identifier.urihttps://doi.org/10.34657/1055
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/906
dc.language.isoengeng
dc.publisherHoboken, NJ : Wileyeng
dc.relation.doihttps://doi.org/10.1002/qj.2947
dc.relation.ispartofseriesQuarterly Journal of the Royal Meteorological Society, Volume 143, Issue 702, Part A, Page 69-100eng
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subjectlarge-eddy simulationeng
dc.subjectclouds and precipitationeng
dc.subjectevaluation with observationseng
dc.subject.ddc550eng
dc.titleLarge-eddy simulations over Germany using ICON: A comprehensive evaluationeng
dc.typearticleeng
dc.typeTexteng
dcterms.bibliographicCitation.journalTitleQuarterly Journal of the Royal Meteorological Societyeng
tib.accessRightsopenAccesseng
wgl.contributorTROPOSeng
wgl.subjectGeowissenschafteneng
wgl.typeZeitschriftenartikeleng
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