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

被引：190

作者：

Heinze, Rieke ^{[1
,2
]}

Dipankar, Anurag ^{[1
,3
]}

Henken, Cintia Carbajal ^{[4
]}

Moseley, Christopher ^{[1
]}

Sourdeval, Odran ^{[5
]}

Troemel, Silke ^{[6
]}

Xie, Xinxin ^{[6
]}

Adamidis, Panos ^{[7
]}

Ament, Felix ^{[8
]}

Baars, Holger ^{[9
]}

Barthlott, Christian ^{[10
]}

Behrendt, Andreas ^{[11
]}

Blahak, Ulrich ^{[12
]}

Bley, Sebastian ^{[9
]}

Brdar, Slavko ^{[12
]}

Brueck, Matthias ^{[1
,5
]}

Crewell, Susanne ^{[13
]}

Deneke, Hartwig ^{[9
]}

Di Girolamo, Paolo ^{[14
]}

Evaristo, Raquel ^{[6
]}

Fischer, Juergen ^{[4
]}

Frank, Christopher ^{[13
,15
]}

Friederichs, Petra ^{[6
]}

Goecke, Tobias ^{[12
]}

Gorges, Ksenia ^{[7
]}

Hande, Luke ^{[10
]}

Hanke, Moritz ^{[7
]}

Hansen, Akio ^{[8
]}

Hege, Hans-Christian ^{[16
]}

Hoose, Corinna ^{[10
]}

Jahns, Thomas ^{[7
]}

Kalthoff, Norbert

Klocke, Daniel ^{[12
,15
]}

Kneifel, Stefan ^{[13
]}

Knippertz, Peter ^{[10
]}

Kuhn, Alexander ^{[16
]}

van Laar, Thriza ^{[13
]}

Macke, Andreas ^{[9
]}

Maurer, Vera ^{[10
,15
,17
]}

Mayer, Bernhard ^{[18
]}

Meyer, Catrin I. ^{[19
]}

Muppa, Shravan K. ^{[11
]}

Neggers, Roeland A. J. ^{[13
]}

Orlandi, Emiliano ^{[20
]}

Pantillon, Florian ^{[10
]}

Pospichal, Bernhard ^{[5
]}

Roeber, Niklas ^{[7
]}

Scheck, Leonhard ^{[18
]}

Seifert, Axel ^{[12
]}

Seifert, Patric ^{[9
]}

机构：

[1] Max Planck Inst Meteorol, Hamburg, Germany

[2] Leibniz Univ Hannover, Inst Meteorol & Climatol, Hannover, Germany

[3] Ctr Climate Res Singapore, Singapore, Singapore

[4] Free Univ Berlin, Inst Space Sci, Berlin, Germany

[5] Univ Leipzig, Inst Meteorol, Stephanstr 3, D-04103 Leipzig, Germany

[6] Univ Bonn, Inst Meteorol, Bonn, Germany

[7] Deutsches Klimarechenzentrum, Hamburg, Germany

[8] Univ Hamburg, Inst Meteorol, Hamburg, Germany

[9] Leibniz Inst Tropospher Res Leipzig, Leipzig, Germany

[10] Karlsruhe Inst Technol, Dept Troposphere Res IMK TRO, Inst Meteorol & Climate Res, D-76021 Karlsruhe, Germany

[11] Univ Hohenheim, Stuttgart, Germany

[12] Deutscher Wetterdienst, Offenbach, Germany

[13] Univ Cologne, Inst Geophys & Meteorol, Cologne, Germany

[14] Univ Basilicata, Scuola Ingn, Potenza, Italy

[15] Hans Ertel Zentrum Wetterforsch, Offenbach, Germany

[16] Zuse Inst Berlin, Berlin, Germany

[17] Goethe Univ Frankfurt Main, Inst Atmospher & Environm Sci, Frankfurt, Germany

[18] Ludwig Maximilians Univ Munchen, Inst Meteorol, Munich, Germany

[19] Forschungszentrum Julich, Julich Supercomp Ctr, D-52425 Julich, Germany

[20] RPG Radiometer Phys GmbH, Meckenheim, Germany

来源：

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY | 2017年 / 143卷 / 702期

关键词：

large-eddy simulation; clouds and precipitation; evaluation with observations; NUMERICAL WEATHER PREDICTION; ATMOSPHERIC BOUNDARY-LAYER; CIRRUS CLOUD FORMATION; WATER-VAPOR; RADIATIVE-TRANSFER; MODEL SIMULATIONS; 4TH-ORDER MOMENTS; CUMULUS CLOUDS; LARGE-DOMAIN; RAMAN LIDAR;

D O I：

10.1002/qj.2947

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

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 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.

引用

页码：69 / 100

页数：32

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