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作 者:乔崛 彭新东[2,3] QIAO Jue;PENG Xindong(Department of Atmospheric and Oceanic Sciences,Fudan University,Shanghai 200438;State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081;CMA Earth System Modelling and Prediction Centre,Beijing 100081)
机构地区:[1]复旦大学大气与海洋科学系,上海200438 [2]中国气象科学研究院灾害天气国家重点实验室,北京100081 [3]中国气象局地球系统数值预报中心,北京100081
出 处:《气象》2024年第4期449-460,共12页Meteorological Monthly
基 金:国家自然科学基金项目(42075151)资助。
摘 要:为提高大气数值模式的模拟能力,改进大气边界层水汽、热量湍流输送计算和大雾天气的模拟效果,选用WRF三维非静力模式,采用具有局地和非局地垂直湍流尺度自适应计算能力的MYNN_SA参数化方案,对2017年12月28—29日我国华北—江淮地区的大范围浓雾过程进行了数值模拟研究,探讨从中尺度到灰区尺度分辨率范围,模式的尺度自适应大气边界层湍流参数化方案对稳定大气边界层发展、湍流输送和大雾天气模拟的影响。利用中国地面气象站观测资料和ERA5再分析数据,在接近灰区尺度的网格分辨率上,利用尺度自适应大气边界层湍流MYNN_SA参数化方案较之中尺度参数化MYNN方案,可明显改善次网格湍流输送计算,以及陆地浓雾的强度、空间分布和时间演变特征,可更精确地模拟云水混合比、逆温层和雾区的垂直结构。In order to improve the numerical modeling of vertical turbulent transport of water vapor and sensible heat in atmospheric boundary layer and also the simulation of fog,this paper adopts the three-dimensional non-hydrostatic WRF model,with the help of a scale-aware MYNN_SA scheme of both local and non-local turbulences,to simulate a dense foggy weather process that occurred in a broad region from North China to Jiang-Huai Region during 28-29 December 2017.Impacts of the scale-aware boundary-layer turbulent scheme on the development of stable boundary layer,the turbulent transport and the simulation of fog are focused in a model resolution from mesoscale to large eddy.Compared with the surface observations in China and the ERA5 data,the scale-aware MYNN_SA scheme can improve the results of sub-grid-scale turbulent mixing when model resolution approaches the gray-zone scale,which shows better fog density,spatial and temporal variation of the dense fog in comparison with the original MYNN scheme.Detailed vertical structures of the fog,liquid cloud water and temperature inversion are well simulated by the scale-aware MYNN_SA scheme.
关 键 词:湍流通量 陆地浓雾 大气边界层参数化 尺度自适应
分 类 号:P435[天文地球—大气科学及气象学] P426
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