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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年山东干线和触发对流干线等个例进行分析。结果表明: 2001—2022年期间山东干线总日数达451 d,其中触发对流干线总日数为156 d。触发对流干线出现在4—9月,5月和5月上旬分别是干线出现最多的月份和旬,14—17时(北京时)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。触发对流干线和无对流干线的宽度分别为75~106 km、80~114 km,露点温度梯度分别为11.8~16.7 ℃·(100 km)-1、9.8~15.0 ℃·(100 km)-1。两类干线的干湿两侧温度分布在23~33℃,温度梯度为1~3 ℃·(100 km)-1,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,露点温度水平梯度值更大,这与力管项环流在此时更强有关。对山东干线触发对流的关键环境参数阈值进行了统计,发现能量类和层结稳定度类等对流参数均具有一定可区分性,深层(0~6 km)垂直风切变也具有可区分性,低层(0~1 km、0~3 km)垂直风切变因差距较小难以区分;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。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700 hPa、850 hPa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,环境参数,对流
Abstract:Using conventional upper-air and surface observations, Doppler radar data, satellite nephogram and ERA5 reanalysis data, this paper analyzes drylines cases and drylines triggering convections in Shandong Province from 2001 to 2022. The results are as follows. The total number of days with drylines in Shandong from 2001 to 2022 is 451 d, of which there are 156 d with convective drylines, respectively. Convective drylines occur mainly from April to September. May and the first dekad of May are the month and dekad periods to have the highest occurrence frequency of drylines, respectively. Drylines mainly occur between 14:00 BT and 17:00 BT in the afternoon, distributed often 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 temperature gradients being 11.8-16.7 ℃·(100 km)-1 and 9.8-15.0 ℃·(100 km)-1 respectively. Temperatures on both dry and wet sides of drylines vary from 23℃ to 33℃, with a temperature gradient of 1-3 ℃·(100 km)-1, and temperature on the dry side is slightly higher. Compared to non-convective drylines, convective drylines exhibit higher temperatures and dew point temperatures on both the warm and cold sides, narrower widths, and greater dew point temperature gradients. This is because the circulation associated with the force-driven component becomes stronger when the horizontal dew point temperature gradient is large. The thresholds of the key environmental parameters for drylines triggering convections reveal that the convective parameters such as energy and stratification stability all exhibit a certain degree of distinguish ability. The vertical wind shear in the deep layer (0-6 km) is also distinguishable, whereas vertical wind shear in the lower layers (0-1 km and 0-3 km) is difficult to distinguish due to the small differences. The seasonal variation in convective parameters under unstable conditions is relatively small, but environmental parameters related to moisture conditions and 0-6 km vertical wind shear exhibit significant seasonal differences, so their thresholds should be differentiated by season. Drylines frequently develop under conditions of northwest airflow, ahead of westerly trough, and northeast low-pressure vortex at 500 hPa. At the lower 700 hPa and 850 hPa, drylines are primarily influenced by the shear line of the low-pressure vortex or the northwest airflow, with the boundary layer often accompanied by convergence lines. The surface primarily lies within the convergence flow field of continental warm low pressure or at the bottom or front of low-pressure systems.
keywords: dryline, spatio-temporal distribution, dryline structure, environmental parameter, convection
文章编号: 中图分类号: 文献标志码:
基金项目:国家自然科学基金项目(41775044)、山东省自然科学基金项目(ZR2023MD118)、山东省自然科学基金创新发展联合基金项目(ZR2024LQX009)和中国气象局创新发展专项(CXFZ2023J015)共同资助
| 作者 | 单位 |
| 高晓梅 | 山东省潍坊市气象局,潍坊 261011 |
| 俞小鼎 | 中国气象局气象干部培训学院,北京 100081 |
| 王世杰 | 山东省潍坊市气象局,潍坊 261011 |
| 封雅琼 | 山东省潍坊市气象局,潍坊 261011 |
| 王新红 | 山东省潍坊市气象局,潍坊 261011 |
| 王文波 | 山东省潍坊市气象局,潍坊 261011 |
引用文本:
高晓梅,俞小鼎,王世杰,封雅琼,王新红,王文波,2026.山东触发对流天气的干线特征研究[J].气象,52(10):1165-1177.
GAO Xiaomei,YU Xiaoding,WANG Shijie,FENG Yaqiong,WANG Xinhong,WANG Wenbo,2026.Research on the Features of Drylines Triggering Convective Weather in Shandong Province[J].Meteor Mon,52(10):1165-1177.
高晓梅,俞小鼎,王世杰,封雅琼,王新红,王文波,2026.山东触发对流天气的干线特征研究[J].气象,52(10):1165-1177.
GAO Xiaomei,YU Xiaoding,WANG Shijie,FENG Yaqiong,WANG Xinhong,WANG Wenbo,2026.Research on the Features of Drylines Triggering Convective Weather in Shandong Province[J].Meteor Mon,52(10):1165-1177.
