边界层廓线形状指数对一次江淮暴雨的模拟影响分析OA
Impact of boundary layer profile shape parameter on the simulation of a Jianghuai heavy rainfall event
基于WRF模式和2022年一次江淮暴雨过程,本文分析了 YSU边界层参数化方案中廓线形状指数(p)对降水模拟的影响.结果表明,5个不同p值(p=1.333,1.667,2.000,2.333,2.667)模拟试验的降水偏差和TS评分显著不同.检验表明:p=2.333时,TS、BIAS评分、相关系数和误差分析整体表现最优.模拟开始阶段,风速、温度、湿度与p值都有较好的线性关系:在边界层高层,p值越大,垂直混合越小、风速和温度越大、比湿越小,在边界层低层则相反.降水过程中p值越小,边界层内混合更均匀,风切变及垂直速度较小,不利于水汽的上升及对流活动发展.与平原相比,山地下垫面受p值影响更大.
Based on the WRF model and using a Jianghuai heavy rainfall event in 2022 as a case study,this study analyzed the impact of the boundary layer profile shape parameter(p)in the YSU boundary layer scheme on the precipitation simulation.Results show that the precipitation bias and TS scores differ significantly among the five simulation experiments with different p values(p=1.333,1.667,2.000,2.333,2.667).Reults show that TS,BIAS scores,correlation coefficients,and error analysis perform optimally overall at p=2.333.During the initial simulation stage,wind,temperature,and moisture exhibit clear linear relationships with p values:in the upper boundary layer,larger p values correspond to weaker vertical mixing,stronger wind speeds,higher temperatures,and lower specific humidity,while the opposite occurs in the lower boundary layer.During precipitation stage,the smaller the p value,the more homogeneous the mixing within the boundary layer,and the smaller the wind shear and vertical velocity,which is not conducive to the rise of water vapor and the development of convective activities.Compared with the plains,the mountainous underlying surface is more affected by the p value.
贾未雨;荆弈;邓子怡;李煜斌;高志球
南京信息工程大学,南京 210044南京信息工程大学,南京 210044南京信息工程大学,南京 210044南京信息工程大学,南京 210044南京信息工程大学,南京 210044
天文与地球科学
大气边界层廓线形状指数边界层方案数值模拟江淮暴雨
atmospheric boundary layerprofile shape parameterboundary layer schemesnumerical simulationJianghuai heavy rainfall
《气象科学》 2026 (3)
259-271,13
国家重点研发计划资助项目(2023YFC3706303)
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