基于区域站的昆明市雨季短时强降水特征及天气系统分型

杨芳园 ,  刘彬 ,  金燕 ,  潘娅婷 ,  李思婷 ,  李晓鹏 ,  石宝灵

暴雨灾害 ›› 2026, Vol. 45 ›› Issue (5) : 712 -725.

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暴雨灾害 ›› 2026, Vol. 45 ›› Issue (5) : 712 -725. DOI: 10.12406/byzh.2024-213

基于区域站的昆明市雨季短时强降水特征及天气系统分型

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Characteristics and synoptic classification of short-duration heavy precipitation during the rainy season in Kunming based on regional station data

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摘要

短时强降水是昆明市雨季 (5—10 月) 主要的灾害性天气,深入研究其时空特征及天气系统分型,对提升本地强降水预报预警能力具有重要意义。基于 2018—2022 年昆明市 12 个国家级气象观测站 (以下简称国家站) 和 406 个区域气象观测站 (以下简称区域站) 逐小时降水资料,采用统计学与天气学诊断方法,结合主观天气分型,分析了昆明市雨季短时强降水的时空分布特征,并对区域性过程进行天气系统分型。结果表明:短时强降水空间分布呈“南多北少”的特征,主城区表现出频次最多、强度最强的“雨岛效应”。主汛期 (6—8 月) 短时强降水出现频次最为集中,其中,短时强降水峰值出现在 7 月,而极端短时强降水峰值在 6 月;日变化呈凌晨和傍晚双峰结构。影响昆明市区域性短时强降水的主要天气系统可分为 4 类:切变线型 (50.7%)、热带低值系统型 (20.8%)、两高辐合型 (17.4%) 和副热带高压外围型 (11.1%)。水汽来源和地形耦合的差异及抬升触发机制的不同,导致不同天气系统降水特征不同,其中地面辐合线(或锋面)配合 700 hPa 切变线是触发短时强降水的关键抬升触发机制,对预报具有指示意义。

Abstract

Short-duration heavy precipitation is a primary hazardous weather process during the rainy season in Kunming. Conducting an in-depth study of its spatiotemporal characteristics and synoptic systems is of great significance for enhancing local forecasting and warning capabilities for heavy precipitation. Based on hourly precipitation data from 12 national meteorological stations (referred to as national stations) and 406 regional meteorological stations (referred to as regional stations) in Kunming during May to October from 2018 to 2022, this study employed statistical and synoptic diagnostic methods, combined with subjective synoptic classification, to analyze the spatiotemporal distribution characteristics of short-duration heavy precipitation during the rainy season and performed circulation classification for regional processes. The results show that spatially, short-duration heavy precipitation exhibited a pattern of "more frequent in the south and less in the north" with the main urban area demonstrating a "rain island effect" characterized by the highest frequency and intensity. Temporally, its occurrence was most concentrated during the main flood season (June to August), with the peak of ordinary short-duration heavy precipitation in July, while the peak of extreme short-duration heavy precipitation was in June. The diurnal variation presents a bimodal structure, with primary peaks in the early morning and late afternoon. The main synoptic systems affecting regional short-duration heavy precipitation processes in Kunming can be classified into four types: shear line type (50.7%), tropical low-pressure system type (20.8%), two-high convergence type (17.4%), and subtropical high periphery type (11.1%). Differences in moisture source and topographic coupling, as well as the commonality of lifting trigger mechanisms, lead to differences in precipitation characteristics among different synoptic systems. The surface convergence line (or front) combined with the 700 hPa shear line is the key lifting trigger mechanism for short-duration heavy precipitation, providing valuable guidance for forecasting.

关键词

雨季 / 短时强降水 / 雨岛效应 / 天气系统 / 区域气象观测站

Key words

rainy season / short-duration heavy precipitation / synoptic systems / conceptual model / regional meteorological stations

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引用格式 ▾
杨芳园,刘彬,金燕,潘娅婷,李思婷,李晓鹏,石宝灵. 基于区域站的昆明市雨季短时强降水特征及天气系统分型[J]. 暴雨灾害, 2026, 45(5): 712-725 DOI:10.12406/byzh.2024-213

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参考文献

[1]

曹杰,李华宏,姚平,等. 2009.北半球夏季印度洋和太平洋水汽交汇区及其空间分异规律研究[J].自然科学进展,19:302-309.

[2]

Cao J, Li H H, Yao P, et al. 2009. Research on the convergence zone and spatial differentiation of water vapor in the Indian Ocean and Pacific Ocean during summer in the Northern Hemisphere [J].Progress in Natural Science,19:302-309 (in Chinese). doi:10.3321/j.issn:1002-008X.2009.03.009

[3]

曹舒娅,邹兰军,王易,等. 2023.苏南一次梅雨锋大暴雨的环境条件及对流系统演变特征[J].暴雨灾害,42(5):532-540.

[4]

Cao S Y, Zou L J, Wang Y, et al. 2023. Analysis of environmental conditions and characteristics of convective system evolution of a Mei-Yu Front heavy rainstorm in southern Jiangsu [J].Torrential Rain and Disasters,42(5):532-540 (in Chinese). doi:10.12406/byzh.2023-128

[5]

陈静. 2017.云南昆明突降暴雨致多地被淹 1300 余人被困[N/OL].中国新闻网, https://www.chinanews.com.cn/m/sh/2017/07-20/8283056.shtml.

[6]

Chen J. 2017. Multiple areas flooded by the sudden rainstorm in Kunming and more than 1300 people were trapped [N/OL].China News, https://www.chinanews.com.cn/m/sh/2017/07-20/8283056.shtml (in Chinese)

[7]

陈元昭,俞小鼎,陈训来. 2016.珠江三角洲地区重大短时强降水的基本流型与环境参量特征[J].气象,42(2):144-155.

[8]

Chen Y Z, Yu X D, Chen X L. 2016. Characteristics of short-time severe rainfall events based on weather flow and key environmental parameters in Pearl River Delta [J].Meteorological Monthly,42(2):144-155 (in Chinese). doi:10.7519/j.issn.1000-0526.2016.02.002

[9]

何科,黄楚惠,李永军,等. 2025.近 10 a 攀枝花市短时强降水时空分布特征研究[J].高原山地气象研究,45(1):95-104.

[10]

He K, Huang C H, Li Y J, et al. 2025. Temporal and spatial distribution characteristics of short-term heavy precipitation in Panzhihua in recent ten years [J].Plateau and Mountain Meteorology Research,45(1):95-104. doi:10.3969/j.issn.1674-2184.2025.01.011

[11]

何立富,陈双,郭云谦. 2020.台风利奇马 (1909) 极端强降雨观测特征及成因[J].应用气象学报,31(5):513-526.

[12]

He L H, Chen S, Guo Y Q. 2020. Observation characteristics and synoptic mechanisms of typhoon Lekima extreme rainfall in 2019 [J].Journal of Applied Meteorological Science,31(5):513-526 (in Chinese). doi:10.11898/1001-7313.20200501

[13]

何钰,陈小华,李耀孙,等. 2021.云南省副热带高压外围类短时强降水的雷达回波特征[J].气象,47(2):450-462.

[14]

He Y, Chen X h, Li Y S, et al. 2021. Radar echo characteristics of short-time severe rainfall in the periphery of subtropical high in Yunnan Province [J].Meteorological Monthly,47(2):450-462 (in Chinese). doi:10.7519/j.issn.1000-0526.2021.04.006

[15]

何钰,陈小华,杨素雨,等. 2018.基于“配料法”的云南短时强降水预报概念模型建立[J].气象,44(12):1542-1554.

[16]

He Y, Chen X H, Yang S Y, et al. 2018. Forecast conceptual model establishment of short-time severe rainfall on Yunnan based on the "Ingredients" [J].Meteorological Monthly,44(12):1542-1554 (in Chinese). doi:10.7519/j.issn.1000-0526.2018.12.004

[17]

侯淑梅,孙敬文,孙鹏程,等. 2020.基于加密自动气象观测站和国家气象观测站的山东省极端短时强降水时空分布特征的对比分析[J].气象,46(2):200-211.

[18]

Hou S M, Sun J W, Sun P C, et al. 2020. Comparative analysis of spatio-temporal distribution characteristics of extreme short time severe precipitation in Shandong based on the dense observations from automatic weather stations and national stations [J].Meteorological Monthly,46(2):200-211 (in Chinese). doi:10.7519/j.issn.1000-0526.2020.02.006

[19]

金燕,晏红明,何雨芩,等. 2024.昆明城市降雨特性变化及城市热岛效应的可能影响[J].地理科学,4(1):2039-2050.

[20]

Jin Y, Yan H M, He Y Q, et al. 2024. Change of urban precipitation characteristics and the possible influence of urban heat island effect in Kunming [J].Scientia Geographica Sinica,4(1):2039-2050. doi:10.13249/i.cnki.sgs.20230666

[21]

李华宏,胡娟,闵颖,等. 2017.云南短时强降水时空分布特征分析[J].灾害学,32(3):57-62.

[22]

Li H H, Hu J, Min Y, et al. 2017. The analysis of short-time heavy rainfall spatio-temporal characteristics in Yunnan [J].Journal of Catastrophology,32(3):57-62 (in Chinese). doi:10.3969/j.issn.1000-811X.2017.03.011

[23]

李华宏,闵颖,许彦艳,等. 2021.云南短时强降水及其诱发山洪灾害预报预警技术研究[M].北京:气象出版社:13-86.

[24]

Li H H, Min Y, Xu Y Y, et al. 2021. Research on Short-time Heavy Precipitation and Its Induced Mountain Flood Disaster Forecasting and Early Warning Technology in Yunnan Province [M]. Beijing:China Meteorological Press:13-86 (in Chinese)

[25]

李华宏,王曼,闵颖,等. 2019.昆明市雨季短时强降水特征分析及预报研究[J].云南大学学报 (自然科学版),41(3):518-525.

[26]

Li H H, Wang M, Min Y, et al. 2019. The analysis and forecast of short-time heavy rainfall in rainy season in Kunming [J].Journal of Yunnan University: Natural Sciences Edition,41(3):518-525 (in Chinese). doi:10.7540/j.ynu.20180367

[27]

李耀孙,原韦华,孙绩华,等. 2021.云南雨季和干季小时降水的时空特性分析[J].高原山地气象研究,41(3):24-32.

[28]

Li Y S, Yuan W H, Sun J H, et al. 2021. Temporal and spatial distribution of hourly precipitation in rainy and dry seasons over Yunnan province [J].Plateau and Mountain Meteorology Research,41(3):24-32 (in Chinese). doi:10.3969/j.issn.1674-2184.2021.03.004

[29]

李鹏,徐宗学,张瑞,等. 2020.济南市极端降水特性与雨岛效应分析[J].北京师范大学学报 (自然科学版),56(6):822-830.

[30]

Li P, Xu Z X, Zhang R, et al. 2020. Extreme precipitation and rainfall island effect in Jinan city [J].Journal of Beijing Normal University (Natural Science),56(6):822-830 (in Chinese). doi:10.12202/j.0476-0301.2020139

[31]

梁红丽,王曼,李湘. 2018. 2012 年春末昆明大暴雨的中尺度对流系统特征分析[J].气象,44(11):1391-1403.

[32]

Liang H L, Wang M, Li X. 2018. Characteristic analysis of mesoscale convective system of heavy rainstorm in Kunming in the late Spring 2012 [J].Meteorological Monthly,44(11):1391-1403 (in Chinese). doi:10.7519/i.issn.1000-0526.2018.11.002

[33]

刘冉阳. 2019.昆明遭大到暴雨袭击城市积水严重[N/OL].中国日报网, https://baijiahao.baidu.co-m/s?id=1639618909389413899&wfr=spider&for=pc.

[34]

Liu R Y. 2019. Kunming was hit by heavy rains and the city was seriously flooded [N/OL].China daily, https://baijiahao.baidu.com/s?id=1639618909389413899&wfr=spider&for=pc (in Chinese)

[35]

马文倩,李耀孙,陈小华,等. 2023.云南两高辐合背景下低涡强降水过程对比分析[J].云南大学学报 (自然科学版),45(1):124-134.

[36]

Ma W Q, Li Y S, Chen X H, et al. 2023. A comparative analysis of low-vortex heavy precipitation events over Yunnan Province under the convergence area between two highs [J].Journal of Yunnan University:Natural Sciences Edition,45(1):124-134 (in Chinese). doi:10.7540/j.ynu.20220144

[37]

毛冬艳,曹艳察,朱文剑,等. 2018.西南地区短时强降水的气候特征分析[J].气象,44(8):1042-1050.

[38]

Mao D Y, Cao Y C, Zhu W J, et al. 2018. Climatic characteristics of short-time severe precipitation in southwest China [J].Meteorological Monthly,44(8):1042-1050 (in Chinese). doi:10.7519/j.issn.1000-0526.2018.08.006

[39]

沈晓玲,黄海迅,章丽娜. 2022. 2010-2019 年浙江暖季短时强降水特征分析[J].气象科技,50(1):103-113.

[40]

Shen X L, Huang H X, Zhang L N. 2022. Characteristics of short-term heavy precipitation in warm season of Zhejiang province from 2010 to 2019 [J].Meteorological Science and Technology,50(1):103-113 (in Chinese). doi:10.19517/i.1671-6345.20210049

[41]

苏锦兰,李建,杨桂荣,等. 2015.横断山系云岭余脉点苍山东西侧小时降水特性对比分析[J].气象,41(1):17-24.

[42]

Su J L, Li J, Yang G R, et al. 2015. Comparative analysis on hourly precipitation features on the east and west sides of Yunling Diancang mountain in Hengduan mountains [J].Meteorological Monthly,41(1):17-24 (in Chinese). doi:10.7519/j.issn.1000-0526.2015.01.002

[43]

苏锦兰,张万诚,宋金梅,等. 2021.云南小时降水的时空分布变化研究[J].气象,47(2):133-142.

[44]

Su J L, Zhang W C, Song J M, et al. 2021. Study on spatio-temporal distribution of hourly precipitation in Yunnan province [J].Meteorological Monthly,47(2):133-142 (in Chinese). doi:10.7519/j.issn.1000-0526.2021.02.001

[45]

孙继松,戴建华,何立富,等. 2014.强对流天气预报的基本原理与技术方法——中国强对流天气预报手册[M]. 北京:气象出版社:1-6.

[46]

Sun J S, Dai J H, He L F, et al. 2014. The Basic Principles and Technical Methods of Convective Weather Forecasting - China Convective Weather Forecasting Handbook [M]. Beijing:China Meteorological Press:1-6 (in Chinese)

[47]

孙建华,周玉淑,傅慎明,等. 2024.近十年我国涡旋系统的研究进展[J].大气科学,48(1):228-260.

[48]

Sun J H, Zhou Y S, Fu S M,et al. 2024. Progress on vortices in China in the past ten years [J].Chinese Journal of Atmospheric Sciences,48(1):228-260 (in Chin-ese). doi:10.3878/j.issn.1006-9895.2311.23323

[49]

王鹏飞,陶岚,管理,等. 2025.喀什地区北部短时强降水环境参数和雷达特征分析[J].沙漠与绿洲气象,19(4):10-18.

[50]

Wang P F, Tao L, Guan L, et al. 2025. Environmental parameters and radar characteristics of short-term heavy precipitation in northern Kashgar [J].Desert and Oasis Meteorology,19(4):10-18. doi:10.12057/j.issn.1002-0799.2407.12001

[51]

王宇. 2006.云南山地气候[M].昆明:云南科技出版社:33-41.

[52]

Wang Y. 2006. Yunnan Mountain Climate [M]. Kunming:Yunnan Science and Technology Press:33-41 (in Chinese)

[53]

伍红雨,李芷卉,李文媛,等. 2022.基于区域自动气象站的广东极端强降水特征分析[J].气象,46(6):801-812.

[54]

Wu H Y, Li Z H, Li W Y, et al. 2022. Characteristics analysis of extremely severe precipitation based on regional automatic weather stations in Guangdong [J].Meteorological Monthly,46(6):801-812 (in Chinese). doi:10.7519/j.issn.1000-0526.2020.06.007

[55]

吴梦雯,罗亚丽. 2019.中国极端小时降水 2010-2019 年研究进展[J].暴雨灾害,38(5):502-514.

[56]

Wu M W, Luo Y L. 2019. Extreme hourly precipitation over China: Research progress from 2010 to 2019 [J].Torrential Rain and Disasters,38(5):502-514. doi:10.3969/i.issn.1004-9045.2019.05.012

[57]

吴燕汶,晏红明,史正涛,等. 2023.昆明强降水对城市化和热环境变化的响应研究[J].气候变化研究进展,19(6):723-737.

[58]

Wu Y W, Yan H M, Shi Z T, et al. 2023. Research on the response of heavy precipitation in Kunming to urbanization and thermal environment changes [J].Climate Change Research,19(6):723-737. doi:10.12006/j.issn.1673-1719.2023.126

[59]

许美玲,段旭,杞明辉,等. 2011.云南省天气预报员手册[M].北京:气象出版社:10-84.

[60]

Xu M L, Duan X, Qi M H, et al. 2011. Handbook for Weather Forecasters in Yunnan Province [M]. Beijing:China Meteorological Press:10-84 (in Chinese)

[61]

薛媛,杨庆,马柱国,等. 2024. 1961-2020 年中国区域不同等级降水的变化趋势及其可能成因[J].大气科学,48(2):619-644.

[62]

Xue Y, Yang Q, Ma Z G, et al. 2024. Trends and possible causes of different levels of precipitation variations in China during 1961-2020 [J].Chinese Journal of Atmospheric Sciences,48(2):619-644 (in Chinese). doi:10.3878/j.issn.1006-9895.2208.22033

[63]

杨春,张勇,张亚萍,等. 2020.近 25 a 重庆地区小时降水时空分布特征分析[J].暴雨灾害,39(1):71-80.

[64]

Yang C, Zhang Y, Zhang Y P, et al. 2020. Analysis on the characteristics of temporal and spatial distribution of hourly precipitation in Chongqing during recent 25 years [J].Torrential Rain and Disasters,39(1):71-80 (in Chinese). doi:10.3969/i.issn.1004-9045.2020.01.008

[65]

杨芳园,潘娅婷,邹灵宇,等. 2021.昆明市两次局地短时暴雨过程对比分析[J].云南大学学报 (自然科学版),43(5):953-963.

[66]

Yang F Y, Pan Y T, Zou L Y, et al. 2021. Comparative analysis of two local short-time rainstorm processes in Kunming [J].Journal of Yun-nan University:Natural Sciences Edition,43(5):953-963 (in Chinese). doi:10.7540/j.y-nu.20200599

[67]

杨竹云,段玮,孙绩华,等. 2021.云南夜雨气候特征分析[J].暴雨灾害,40(2):160-166.

[68]

Yang Z Y, Duan W, Sun J H, et al. 2021. Climatological characteristics of night rain in Yunnan province [J].Torrential Rain and Disasters,40(2):160-166 (in Chinese). doi:10.3969/j.issn.1004-9045.2021.02.007

[69]

俞小鼎. 2013.短时强降水临近预报的思路与方法[J].暴雨灾害,32(3):202-209.

[70]

Yu X D. 2013. Nowcasting thinking and method of flash heavy rain [J].Torrential Rain and Disasters,32(3):202-209 (in Chinese). doi:10.3969/j.issn.1004-9045.2013.03.002

[71]

翟盘茂,王萃萃,李威. 2007.极端降水事件变化的观测研究[J].气候变化研究进展,3(3):144-148.

[72]

Zhai P M, Wang C C, Li W. 2007. A review on study of change in precipitation extremes [J].Climate Change Research,3(3):144-148 (in Chinese). doi:10.3969/j.issn.1673-1719.2007.03.004

[73]

赵彦军,夏军,徐宗学,等. 2021.深圳市雨岛效应分析[J].北京师范大学学报 (自然科学版),57(6):768-775.

[74]

Zhao Y J, Xia J, Xu Z X, et al. 2021. Rain island effect in Shenzhen city [J].Journal of Beijing Normal University (Natural Science),57(6):768-775 (in Chinese). doi:10.12202/j.0476-0301.2020397

[75]

郑永光,周康辉,盛杰,等. 2015.强对流天气监测预报预警技术进展[J].应用气象学报,26(6):641-657.

[76]

Zheng Y G, Zhou K H, Sheng J, et al. 2015. Advances in techniques of monitoring forecasting and warning of severe convective weather [J].Journal of Applied Meteorological Science,26(6):641-657 (in Chinese). doi:10.11898/1001-7313.20150601

[77]

周泓, 韩敏, 周晓宇, 等. 2025.滇中地区 6-10 月短时强降水环境参数特征及天气学概念模型[J].气象科学,45(3):352-366.

[78]

Zhou H, Han M, Zhou X Y, et al. 2025. Environmental parameter characteristics and synoptic conceptual model of short-time heavy rainfall in central Yunnan from June to October [J].Journal of the Meteorological Sciences,45(3):352-366 (in Chinese). doi:10.12306/2023jms.0029

[79]

周晓敏,田付友,郑永光,等. 2023.中国短时强降雨对暴雨的贡献特征[J].气象,49(3):267-278.

[80]

Zhou X M, Tian F Y, Zheng Y G, et al. 2023. Contribution of short-duration heavy rainfall to rainstorm in China [J].Meteorological Monthly,49(3):267-278 (in Chinese). doi:10.7519/i.issn.1000-0526.2022.071201

[81]

Yan J, Yun X W, Hua H L, et al. 2025. Interdecadal variability and possible drivers of summer extreme precipitation on the low latitude plateau of southwestern China [J].Theoretical and Applied Climatology,156:66. doi:10.1007/s00704-024-05305-x

[82]

Zhai P M, Zhang X B, Wan H, et al. 2005. Trends in total precipitation and frequency of daily precipitation extremes over China [J].Journal of Climate,18(7):1096-1108. doi:10.1175/JCLI-3318.1

基金资助

云南省重点基金项目(202201AS070069)

中国气象局能力提升联合专项(22NLTSZ005)

国家自然科学基金面上项目(42375043)

中国气象局水文气象重点开放实验室开放研究课题(23SWQXZ009)

云南省重点研发计划-社会发展专项(202203AC100006)

云南省气象局科研项目(YZ202614)

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