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000820975 1001_ $$0P:(DE-HGF)0$$aHeinze, Rieke$$b0
000820975 245__ $$aLarge-eddy simulations over Germany using ICON: A comprehensive evaluation
000820975 260__ $$aWeinheim [u.a.]$$bWiley$$c2017
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000820975 520__ $$aLarge-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.
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000820975 7001_ $$0P:(DE-HGF)0$$aCarbajal Henken, Cintia$$b2
000820975 7001_ $$0P:(DE-HGF)0$$aMoseley, Christopher$$b3
000820975 7001_ $$0P:(DE-HGF)0$$aSourdeval, Odran$$b4
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000820975 7001_ $$0P:(DE-HGF)0$$aXie, Xinxin$$b6
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000820975 7001_ $$0P:(DE-HGF)0$$aBrdar, Slavko$$b14
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000820975 7001_ $$0P:(DE-HGF)0$$aDi Girolamo, Paolo$$b18
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000820975 7001_ $$0P:(DE-HGF)0$$aFischer, Jürgen$$b20
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000820975 7001_ $$0P:(DE-HGF)0$$aFriederichs, Petra$$b22
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000820975 7001_ $$0P:(DE-HGF)0$$aMaurer, Vera$$b38
000820975 7001_ $$0P:(DE-HGF)0$$aMayer, Bernhard$$b39
000820975 7001_ $$0P:(DE-Juel1)156465$$aMeyer, Catrin$$b40
000820975 7001_ $$0P:(DE-HGF)0$$aMuppa, Shravan K.$$b41
000820975 7001_ $$0P:(DE-HGF)0$$aNeggers, Roeland A. J.$$b42
000820975 7001_ $$0P:(DE-HGF)0$$aOrlandi, Emiliano$$b43
000820975 7001_ $$0P:(DE-HGF)0$$aPantillon, Florian$$b44
000820975 7001_ $$0P:(DE-HGF)0$$aPospichal, Bernhard$$b45
000820975 7001_ $$0P:(DE-HGF)0$$aRöber, Niklas$$b46
000820975 7001_ $$0P:(DE-HGF)0$$aScheck, Leonhard$$b47
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000820975 7001_ $$0P:(DE-HGF)0$$aSeifert, Patric$$b49
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000820975 7001_ $$0P:(DE-HGF)0$$aSiligam, Pavan$$b51
000820975 7001_ $$0P:(DE-HGF)0$$aSimmer, Clemens$$b52
000820975 7001_ $$0P:(DE-HGF)0$$aSteinke, Sandra$$b53
000820975 7001_ $$0P:(DE-HGF)0$$aStevens, Bjorn$$b54
000820975 7001_ $$0P:(DE-HGF)0$$aWapler, Kathrin$$b55
000820975 7001_ $$0P:(DE-HGF)0$$aWeniger, Michael$$b56
000820975 7001_ $$0P:(DE-HGF)0$$aWulfmeyer, Volker$$b57
000820975 7001_ $$0P:(DE-HGF)0$$aZängl, Günther$$b58
000820975 7001_ $$0P:(DE-HGF)0$$aZhang, Dan$$b59
000820975 7001_ $$0P:(DE-HGF)0$$aQuaas, Johannes$$b60$$eCorresponding author
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