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投稿时间:2025-11-23 修订日期:2026-04-16
投稿时间:2025-11-23 修订日期:2026-04-16
中文摘要: 利用常规高空和地面观测、多普勒雷达、卫星云图和ERA5再分析等资料,对2001-2022年22年间山东451次干线和156次触发对流干线等个例进行了分析。结果表明:(1)2001-2022年期间山东干线总日数451d,其中触发对流干线的总日数为156 d。触发对流干线出现在4-9月份,5月和5月上旬是干线出现最多的月份和旬份,下午14-17时是主要出现时段。干线主要分布在鲁中、鲁西北地区,其形成与山脉作用及海陆分布有关。(2)触发对流干线和无对流干线的宽度分别为75-106 km、80-114 km,露点梯度分别为11.8-16.7 ℃/(100km)、9.8-15 ℃/(100km)。两类干线的干湿两侧温度分布在23-33 ℃之间,温度梯度为1-3 ℃/(100km),干侧温度略高。相比无对流干线,触发对流干线的干湿两侧温度和露点温度更高,宽度更小,露点水平梯度值更大,这与力管项环流在露点水平梯度大时更强有关。(3)对山东干线触发对流的关键环境参数阈值进行了统计,发现除了0-1 km和0-3 km垂直风切变因差距较小难以区分,其他参数包括地面露点Td、大气可降水量PW、CAPE值、CIN值、850和500hPa温差、DCAPE值、强天气威胁指数SWEAT及0-6 km垂直风切变等对有无触发对流干线均具有一定可区分性。不稳定条件的对流参数季节差别不大,但水汽条件的环境参数与0-6 km垂直风切变等季节差异较大,因此应分季节区分其阈值。(4)山东干线多发生在高空500 hPa为西北气流、西风槽前和东北低涡形势下,低空700hPa、850hPa主要受低涡切变线或西北气流影响,边界层多伴有辐合线,地面主要处在低压底部或前部的辐合流场或大陆暖低压影响下。
中文关键词: 干线,时空分布,干线结构,关键环境参数,阈值
Abstract:Using conventional upper-air and surface observations, Doppler radar data, satellite nephogram and
ERA5 reanalysis data, 451 drylines cases and 156 drylines cases triggering convection in Shandong Province from 2001 to 2022 were analyzed. Results are as follows: the total number of days for drylines in Shandong from 2001 to 2022 was 451 days, with 156 days triggering convective drylines. Drylines triggering convection occurred from April to September. May and the first ten-day period of May were the months and ten-day periods with the highest frequency of drylines occurrences. The primary occurrence time was between 14:00 and 17:00 (Beijing Time). The drylines are primarily distributed in central and northwestern Shandong. The formation of drylines is related to the influence of mountain ranges and the distribution of land and sea. The widths of convective and non-convective drylines are 75–106 km and 80–114 km, respectively, with dew point gradients of 11.8–16.7°C/(100 km) and 9.8–15°C/(100 km). Temperature distributions on both dry and wet sides of drylines range from 23 to 33°C, with a temperature gradient of 1–3 °C /(100 km), temperatures on the dry side are slightly higher. Compared to non-convective drylines, convective drylines exhibit higher temperatures and dew points on both the warm and cold sides, narrower widths, greater dew point gradients, this is related to the fact that the circulation associated with the force-driven component becomes stronger when the horizontal dew point gradient is large. The thresholds of the key environmental parameters for drylines triggering convection reveal that while vertical wind shear between 0-1 km and 0-3 km are difficult to distinguish due to minimal differences, other parameters including surface dew point temperature(Td), precipitable water (PW), CAPE, CIN, temperature difference between 850 and 500 hPa, DCAPE, severe weather threat index (SWEAT), and vertical wind shear between 0–6 km exhibit certain distinguishability between convective and non-convective drylines. The seasonal variation in convective parameters under unstable conditions is relatively small, but environmental parameters related to moisture conditions and vertical wind shear between 0–6 km exhibit significant seasonal differences. Therefore, their thresholds should be differentiated by season. Drylines frequently develop under conditions of northwest flow, ahead of westerly trough, and northeast low-pressure vortex at the upper-level 500 hPa. They are primarily influenced by the shear line of the low-pressure vortex or the northwest flow at the lower-level 700 hPa and 850 hPa, with the boundary layer often accompanied by shear lines. The surface situation is primarily situated within the convergence flow field of continental warm low or at the bottom or front of low-pressure systems.
keywords: dryline,spatio-temporal distribution,dryline structure,key environmental parameters,threshold
文章编号:202511230317 中图分类号: 文献标志码:
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
| 作者 | 单位 | 地址 |
| 高晓梅 | 潍坊市气象局 | 山东省潍坊市气象局春鸢路25号 |
| 俞小鼎* | 中国气象局气象干部培训学院 | 北京市海淀区中关村南大街46号 |
| 王世杰 | 潍坊市气象局 | |
| 封雅琼 | 潍坊市气象局 | |
| 王新红 | 潍坊市气象局 | |
| 王文波 | 潍坊市气象局 |
| Author Name | Affiliation | Address |
| GAO Xiaomei | Weifang Meteorological Bureau | 山东省潍坊市气象局春鸢路25号 |
| YU Xiaoding | 北京市海淀区中关村南大街46号 | |
| WANG Shijie | ||
| FENG Yaqiong | ||
| WANG Xinhong | ||
| WANG Wenbo |
引用文本:
GAO Xiaomei,YU Xiaoding,WANG Shijie,FENG Yaqiong,WANG Xinhong,WANG Wenbo,0.Research on the Features of Drylines Triggering Convective Weather in Shandong[J].Meteor Mon,():-.
GAO Xiaomei,YU Xiaoding,WANG Shijie,FENG Yaqiong,WANG Xinhong,WANG Wenbo,0.Research on the Features of Drylines Triggering Convective Weather in Shandong[J].Meteor Mon,():-.
GAO Xiaomei,YU Xiaoding,WANG Shijie,FENG Yaqiong,WANG Xinhong,WANG Wenbo,0.Research on the Features of Drylines Triggering Convective Weather in Shandong[J].Meteor Mon,():-.
GAO Xiaomei,YU Xiaoding,WANG Shijie,FENG Yaqiong,WANG Xinhong,WANG Wenbo,0.Research on the Features of Drylines Triggering Convective Weather in Shandong[J].Meteor Mon,():-.