A Year-Long Large-Eddy Simulation of the Weather over Cabauw: An Overview

被引:50
|
作者
Schalkwijk, Jerome [1 ]
Jonker, Harmen J. J. [1 ]
Siebesma, A. Pier [1 ,2 ]
Bosveld, Fred C. [2 ]
机构
[1] Delft Univ Technol, NL-2628 CN Delft, Netherlands
[2] Royal Netherlands Meteorol Inst, NL-3730 AE De Bilt, Netherlands
关键词
In situ atmospheric observations; Clouds; Large eddy simulations; Model evaluation; performance; Regional models; ATMOSPHERIC BOUNDARY-LAYER; SURFACE PARAMETERIZATION SCHEMES; SHALLOW CUMULUS CONVECTION; STRONG INVERSION; SCALE; CLOUDS; MODEL; VALIDATION; HYPOTHESIS; TURBULENCE;
D O I
10.1175/MWR-D-14-00293.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Results are presented of two large-eddy simulation (LES) runs of the entire year 2012 centered at the Cabauw observational supersite in the Netherlands. The LES is coupled to a regional weather model that provides the large-scale information. The simulations provide three-dimensional continuous time series of LES-generated turbulence and clouds, which can be compared in detail to the extensive observational dataset of Cabauw. The LES dataset is available from the authors on request.This type of LES setup has a number of advantages. First, it can provide a more statistical approach to the study of turbulent atmospheric flow than the more common case studies, since a diverse but representative set of conditions is covered, including numerous transitions. This has advantages in the design and evaluation of parameterizations. Second, the setup can provide valuable information on the quality of the LES model when applied to such a wide range of conditions. Last, it also provides the possibility to emulate observation techniques. This might help detect limitations and potential problems of a variety of measurement techniques.The LES runs are validated through a comparison with observations from the observational supersite and with results from the parent large-scale model. The long time series that are generated, in combination with information on the spatial structure, provide a novel opportunity to study time scales ranging from seconds to seasons. This facilitates a study of the power spectrum of horizontal and vertical wind speed variance to identify the dominant variance-containing time scales.
引用
收藏
页码:828 / 844
页数:17
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