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Comparison of Observed, MM5 and WRF-NMM Model-Simulated, and HPAC-Assumed Boundary-Layer Meteorological Variables for 3 Days During the IHOP Field Experiment

机译:在IHOP野外实验中进行的3天观测,MM5和WRF-NMM模型模拟以及HPAC假定的边界层气象变量的比较

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The objective of the study is to evaluate operational mesoscale meteorological model atmospheric boundary-layer (ABL) outputs for use in the Hazard Prediction Assessment Capability (HPAC)/Second-Order Closure Integrated Puff (SCIPUFF) transport and dispersion model. HPAC uses the meteorological models' routine simulations of surface buoyancy flux, winds, and mixing depth to derive the profiles of ABL turbulence. The Fifth-Generation Pennsylvania State University/National Center for Atmospheric Research Mesoscale Model (MM5) and the Weather Research and Forecast-Nonhydrostatic Mesoscale Model (WRF-NMM) ABL outputs and the HPAC ABL parameterisations are compared with observations during the International H2O Project (IHOP). The meteorological models' configurations are not specially designed research versions for this study but rather are intended to be representative of what may be used operationally and thus have relatively coarse lowest vertical layer thicknesses of 59 and 36 m, respectively. The meteorological models' simulations of mixing depth are in good agreement (pl20%) with observations on most afternoons. Wind speed errors of 1 or 2 msp# are found, typical of those found in other studies, with larger errors occurring when the simulated centre of a low-pressure system is misplaced in time or space. The hourly variation of turbulent kinetic energy (TKE) is well-simulated during the daytime, although there is a meteorological model underprediction bias of about 20-40%. At night, WRF-NMM shows fair agreement with observations, and MM5 sometimes produces a very small default TKE value because of the stable boundary-layer parameterisation that is used. The HPAC TKE parameterisation is usually a factor of 5-10 high at night, primarily due to the fact that the meteorological model wind-speed output is at a height of 30 m for MM5 and 18 m for WRF-NMM, which is often well above the stable mixing depth. It is concluded that, before meteorological model TKE fields can be confidently used by HPAC, it would help to improve vertical resolution near the surface, say to 10 m or less, and it would be good to improve the ABL parameterisations for shallow stable conditions.
机译:这项研究的目的是评估中尺度气象模型大气边界层(ABL)的输出,以用于危害预测评估能力(HPAC)/二阶封闭综合吹气(SCIPUFF)运输和扩散模型。 HPAC使用气象模型的表面浮力通量,风和混合深度的常规模拟来得出ABL湍流的廓线。第五代宾夕法尼亚州立大学/国家大气研究中尺度模型(MM5)和天气研究与预报-非静水中尺度模型(WRF-NMM)ABL输出和HPAC ABL参数化与国际H2O项目(我跳)。气象模型的配置不是针对此研究的特别设计的研究版本,而是旨在表示可用于操作的模型,因此其垂直层的最低最低垂直厚度分别为59 m和36 m。气象模型对混合深度的模拟与大多数下午的观测结果吻合良好(pl20%)。发现风速误差为1或2 msp#,这是其他研究中发现的典型误差,当低压系统的模拟中心在时间或空间上放错位置时,会出现较大的误差。白天,尽管有大约20-40%的气象模型低估偏差,但湍流动能(TKE)的小时变化得到了很好的模拟。到了晚上,WRF-NMM与观测值显示出合理的一致性,并且由于使用了稳定的边界层参数设置,MM5有时会产生非常小的默认TKE值。 HPAC TKE参数化通常在夜间高5-10倍,这主要是由于以下事实:对于MM5,气象模型的风速输出高度为30 m,对于WRF-NMM,高度为18 m。高于稳定的混合深度。结论是,在HPAC能够可靠地使用气象模型TKE场之前,这将有助于将地表附近的垂直分辨率提高到10 m或更小,这对于改善浅层稳定条件的ABL参数化将是一个好方法。

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