2012-2021年湘南暖区暴雨特征分析OA北大核心CSTPCD
Characteristics of Warm-Sector Rainstorms in Southern Hunan Province from 2012 to 2021
基于2012-2021年3-9月66个暖区暴雨个例,利用地面、高空等常规资料及再分析数据,分析了湘南地区暖区暴雨的时空分布特征,分冷锋前暖区型、南风型和暖切变暖区型三类建立天气学概念模型,并提取暴雨发生前各物理量指标,结果表明:(1)湘南暖区暴雨年变化呈现波动增长趋势,日变化峰值出现在19-22时,5月范围最广,6月次数最多,日雨量极值最大,7-9月局地性强;(2)南风型占比和日雨量极值最大,暖切变暖区型次之,冷锋前暖区型最小,三种类型分别多发于4-6月、5-8月和6-7月;(3)冷锋前暖区型、暖切变暖区型短时强降水(小时雨量≥20 mm)日变化较剧烈,南风型略平缓;(4)湘南暖区暴雨发生的高频区与南岭、罗霄山脉和阳明山地形分布息息相关,东江湖对暖区暴雨也有增幅作用,冷锋前暖区型更易发生在西南部的喇叭口地形处,暖切变暖区型集中于南部南岭迎风坡和不均匀下垫面附近,南风型发生点较分散;(5)湘南暖区暴雨的主要影响系统是高空低槽、低空和超低空急流、地面倒槽和辐合线,另外200 hPa分流区、850 hPa暖脊和显著湿区以及地形作用对降水起到增幅效果;(6)700 hPa、850 hPa、925 hPa急流分别对冷锋前暖区型、暖切变暖区型和南风型暖区暴雨的水汽输送起重要作用;(7)湘南暖区暴雨发生前各物理量平均值显示,q850(850 hPa比湿)≥13 g·kg-1,CAPE(对流有效位能)≥1 100 J·kg-1,K指数≥37℃,SI(沙氏指数)≤-1.5,T850-500(850 hPa与500 hPa温差)≥23℃,LCL(抬升凝结高度)在0.6~0.9 km间,0℃层高度在4.9~5.1 km间,0~6 km的垂直风切变在10~16 J·kg-1间.
By using conventional observational data and NCEP reanalysis data,the present study analyzed the temporal and spatial distribution characteristics of 66 warm-sector rainstorm(WR)cases in southern Hunan province from March to September between 2012 and 2021.These cases were categorized into three distinct types based on synoptic situation:warm sector in front of cold front(CF)type,southerly wind(SW)type,and warm shear(WS)type.Synoptic conceptual models were established for each type,and the physical parameters leading to these storms were explored.The results show that:(1)The annual variability of WRs in southern Hunan exhibited an undulating upward trend,with daily peaks occurring between 19:00 and 22:00.The storms were most extensive in May,most frequent in June with the highest maximum daily rainfall,and more localized from July to September.(2)The SW type was the most frequent with the highest maximum daily rainfall,followed by the WS type,while the CF type was the least common,with each type peaking in different months:April to June for the CF type,May to August for the SW type,and June to July for the WS type.(3)The diurnal variation of short-duration strong rainfall(hourly rainfall≥20 mm)of the CF type and the WS type was intense,while that of the SW type was slightly gentle.(4)The high-frequency area for WRs was closely related to the terrain distribution of the Nanling Mountains,Luoxiao Mountains,and Yangming Mountains;the Dongjiang Lake also contributed to increased precipitation.The CF type was more likely to occur at trumpet-shaped topography in the southwest;the WS type was concentrated on the windward slope of the Nanling Mountains and near different underlying surfaces,while the SW type's occurrence was more dispersed.(5)The main influencing systems included upper-level troughs,low-level and ultra-low-level jet streams,surface inverted troughs,and convergence lines.Moreover,the 200 hPa divergence zone,the 850 hPa warm high ridge,the significantly humid region,and the topographic effect contributed to increased precipitation.(6)The jet streams at 700 hPa,850 hPa,and 925 hPa played important roles in the water vapor transport of the CF type,the WS type,and the SW type rainstorms,respectively.(7)The average values of physical parameters before WRs were as follows:specific humidity of 850 hPa≥13 g·kg-1,CAPE≥1 100 J·kg-1,K-index≥37℃,Showalter index≤-1.5,temperature difference between 850 hPa and 500 hPa≥23℃,lifting condensation level between 0.6 and 0.9 km,0℃ isotherm height between 4.9 and 5.1 km,and 0-6 km vertical wind shear between 10 m·s-1 and 16 m·s-1.
周宜卿;宋楠;周长青;唐明晖;袁韬
郴州市气象局,湖南 郴州 423000湖南省气象台,湖南 长沙 410000||气象防灾减灾湖南省重点实验室,湖南 长沙 410006
大气科学
暖区暴雨湘南地区天气学概念模型物理量指标
warm-sector rainstormssouthern Hunan Provincesynoptic conceptual modelsphysical parameter index
《热带气象学报》 2024 (003)
425-435 / 11
湖南省自然科学基金重大项目(2021JC0009);湖南省气象局2022年重点课题(XQKJ22A003);风云卫星应用先行计划(FY-APP-2022.0605)共同资助
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