东北地区不同类型极端短时强降水的时空分布及环境参数特征

平凡 ,  杨文艳 ,  白志娜 ,  杨磊 ,  袁亮 ,  张金柏 ,  陈红磊 ,  王嘉源 ,  雷居翰

暴雨灾害 ›› 2026, Vol. 45 ›› Issue (5) : 692 -701.

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暴雨灾害 ›› 2026, Vol. 45 ›› Issue (5) : 692 -701. DOI: 10.12406/byzh.2025-212

东北地区不同类型极端短时强降水的时空分布及环境参数特征

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Spatio-temporal distributions and environmental characteristics of extreme short-time heavy rainfall associated with different patterns over Northeast China

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摘要

为了解东北地区 50 mm·h-1 以上的极端短时强降水 (extreme short-time heavy rainfall, EHR) 的天气特征,基于 2017—2024 年气象观测站和 ERA5 再分析资料,将东北地区 EHR 分为冷涡型、西太平洋副热带高压 (以下简称副高) 型、西风槽型、台风型和弱天气尺度强迫型 5 类,对比分析不同类型 EHR 的时空分布和环境参数特征,结果表明:不同类型 EHR 出现次数由多到少依次为冷涡型、副高型、西风槽型、台风型和弱天气尺度强迫型。冷涡型 EHR 的雨强比其他类型 EHR 更强,持续时间更长,范围也更大。东北地区各省份均为冷涡型 EHR 占比最高,副高型与台风型 EHR 占比东高西低、南高北低,而弱天气尺度强迫型 EHR 则相反。副高型和台风型 EHR 8 月发生频次最高,并具有夜间峰值的日变化特征;其他天气型 EHR7 月发生频次最高,且常发生在午后。冷涡型、西风槽型和弱天气尺度强迫型 EHR 发生在水汽含量相对较低的环境,但静力不稳定更强、中层干空气更明显。台风型、副高型 EHR 发生在更暖湿、近地面相对湿度更高、强低空急流和强垂直风切变的环境中。相比于 20~50 mm·h-1 的短时强降水,各天气型 EHR 均发生在对流有效位能更高和近地面相对湿度更高的环境中。东北地区不同天气系统影响下 EHR 的时空分布和环境参数特征分析可为深入认识东北地区 EHR 的物理机制提供参考。

Abstract

To understand the weather characteristics of extreme short-duration heavy rainfall (EHR, defined as hourly rainfall ≥50 mm) in Northeast China, this study utilizes meteorological observation station observations and ERA5 reanalysis data from 2017 to 2024. EHR events are classified into cold vortex, Western Pacific Subtropical High (WPSH) periphery, westerly trough, typhoon, and weak-synoptic forcing type five categories to comparatively analyze their spatiotemporal distributions and environmental characteristics under different synoptic patterns. The results are as follows. The frequency of EHR occurrences in Northeast China decreases in the following order: cold vortex, WPSH periphery, westerly trough, typhoon, and weak-synoptic forcing type. Compared to other EHR types, the cold vortex-type EHR exhibits stronger rainfall intensity, longer duration, and broader spatial coverage. In all provinces of Northeast China, the cold vortex-type EHR accounts for the highest proportion. The proportions of the WPSH and typhoon types exhibit clear spatial gradients, with higher frequencies in the east and south than in the west and north, whereas the weak synoptic forcing type shows the opposite pattern. The WPSH and typhoon types occur most frequently in August, and at night. while other types occur most frequently in July and in the afternoon. The cold vortex, westerly trough, and weak synoptic forcing types occur in conditions with relatively lower moisture, but are characterized by stronger static instability and more pronounced mid-level dry air. In contrast, the typhoon and WPSH types occur in warmer, moister environments with higher near-surface relative humidity, stronger low-level jets, and vertical wind shear. Compared to short-duration heavy rainfall (20~50 mm·h-1), all EHR types occur in environments with higher convective available potential energy (CAPE) and higher near-surface relative humidity. These results provide a preliminary characterization of the spatiotemporal distributions and environmental parameters of EHR in Northeast China under the influence of different synoptic systems, providing reference for understanding EHR physical mechanism in the region.

关键词

极端短时强降水 / 时空分布 / 环境参数 / 天气系统

Key words

Extreme short-time heavy rainfall / observation characteristics / environmental conditions / weather system

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平凡,杨文艳,白志娜,杨磊,袁亮,张金柏,陈红磊,王嘉源,雷居翰. 东北地区不同类型极端短时强降水的时空分布及环境参数特征[J]. 暴雨灾害, 2026, 45(5): 692-701 DOI:10.12406/byzh.2025-212

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参考文献

[1]

曹世腾,杨磊,孙丽,等. 2025. 2017-2021 年冷涡背景下辽宁短时强降水时空分布及环境参数特征[J].气象与环境学报,41(4):28-38.

[2]

Cao S T, Yang L, Sun L, et al. 2025. The spatiotemporal distribution and environmental parameter characteristics of short-duration heavy rain in Liaoning under the background of Cold Vortex from 2017 to 2021 [J].Journal of Meteorology and Environment,41(4):28-38 (in Chinese). doi:10.3969/j.issn.1673-503X.2025.04.004

[3]

李潇濛,宋巧云,杨寅. 2024. 2024 年 8 月大气环流和天气分析[J].气象,50(11):1409-1416.

[4]

Li X M, Song Q Y, Yang Y. 2024. Analysis of August 2024 atmospheric circulation and weather [J].Meteorological Monthly,50(11):1409-1416 (in Chinese). doi:10.7519/j.issn.1000-0526.2024.102301

[5]

聂绩,林中曦,吕楠,等. 2026.华北黄淮极端雨强多尺度过程和物理模型[J].气象学报,84(3):385-403.

[6]

Nie J, Lin Z X, Lv N, et al. 2026. Multi-scale process and physical model of extreme rainfall intensity in North China and Huang-Huai region [J].Acta Meteorologica Sinica,84(3):385-403 (in Chinese). doi:10.11676/qxxb2026.20250128

[7]

祁璇,平凡,沈新勇. 2021.云微物理对一次吉林暖区降水过程的影响[J].大气科学,45(5):943-964.

[8]

Qi X, Ping F, Shen X Y. 2021. Impact of cloud microphysics on a process of warm-sector precipitation over Jilin, Northeast China [J].Chinese Journal of Atmospheric Sciences,45(5):943-964 (in Chinese). doi:10.3878/j.issn.1006-9895.2007.20128

[9]

任丽,王晓雪,张桂华. 2023.黑龙江省台风暴雨统计及环流特征分析[J].热带气象学报,39(2):159-170.

[10]

Ren L, Wang X X, Zhang G H. 2023. Statistical analysis of typhoon rainstorm and circulation characteristics in Heilongjiang Province in recent 60 years [J].Journal of Tropical Meteorology,39(2):159-170 (in Chinese). doi:10.16032/j.issn.1004-4965.2023.015

[11]

任素玲,刘屹岷,吴国雄. 2007.西太平洋副热带高压和台风相互作用的数值试验研究[J].气象学报,65(3):329-340.

[12]

Ren S L, Liu Y M, Wu G X. 2007. Interactions between typhoon and subtropical anticyclone over western Pacific revealed by numerical experiments [J].Acta Meteorologica Sinica,65(3):329-340 (in Chinese). doi:10.11676/qxxb2007.032

[13]

孙继松. 2017.短时强降水和暴雨的区别与联系[J].暴雨灾害,36(6):498-506.

[14]

Sun J S. 2017. Differences and relationship between flash heavy rain and heavy rainfall [J].Torrential Rain and Disasters,36(6):498-506 (in Chinese). doi:10.3969/j.issn.1004-9045.2017.06.002

[15]

孙继松,陶祖钰. 2012.强对流天气分析与预报中的若干基本问题[J].气象,38(2):164-173.

[16]

Sun J S, Tao Z Y. 2012. Some essential issues connected with severe convective weather analysis and forecast [J].Meteorological Monthly,38(2):164-173 (in Chinese). doi:10.7519/j.issn.1000-0526.2012.02.004

[17]

田付友,郑永光,张涛,等. 2017.我国中东部不同级别短时强降水天气的环境物理量分布特征[J].暴雨灾害,36(6):518-526.

[18]

Tian F Y, Zheng Y G, Zhang T, et al. 2017. Characteristics of environmental parameters for multi-intensity short-duration heavy rainfalls over East China [J].Torrential Rain and Disasters,36(6):518-526 (in Chinese). doi:10.3969/j.issn.1004-9045.2017.06.004

[19]

王秀明,俞小鼎,周小刚. 2014.雷暴潜势预报中几个基本问题的讨论[J].气象,40(4):389-399.

[20]

Wang X M, Yu X D, Zhou X G. 2014. Discussion on basical issues of thunderstorm potential forecasting [J].Meteorological Monthly,40(4):389-399 (in Chinese). doi:10.7519/j.issn.1000-0526.2014.04.001

[21]

杨波,孙继松,毛旭,等. 2016.北京地区短时强降水过程的多尺度环流特征[J].气象学报,74(6):919-934.

[22]

Yang B, Sun J S, Mao X, et al. 2016. Multi-scale characteristics of atmospheric circulation related to short-time strong rainfall events in Beijing [J].Acta Meteorologica Sinica,74(6):919-934 (in Chinese). doi:10.11676/qxxb2016.072

[23]

杨磊,才奎志,孙丽,等. 2020a.基于葵花 8 号卫星资料的沈阳两次暴雨过程中对流云特征对比分析[J].暴雨灾害,38(2):1-6.

[24]

Yang L, Cai K Z, Sun L, et al. 2020a. Comparison of convective cloud characteristics during two torrential rain events in Shenyang based on Himawari-8 satellite data [J].Torrential Rain and Disasters,38(2):1-6 (in Chinese). doi:10.3969/j.issn.1004-9045.2020.02.003

[25]

杨磊,孙丽,王东东,等. 2020b. 2017 年“海棠”台风影响辽宁不同区域极端暴雨成因分析[J].气象与环境学报,36(1):1-10.

[26]

Yang L, Sun L, Wang D D, et al. 2020b. Formation of an extreme rainstorm in different regions of Liaoning Province affected by Typhoon “Haitang” in 2017 [J].Journal of Meteorology and Environment,36(1):1-10 (in Chinese). doi:10.3969/j.issn.1673-503X.2020.01.001

[27]

杨磊,郑永光,袁子鹏,等. 2023. 2019 年 8 月 16 日沈阳极端降水事件的低空 γ 中尺度涡旋观测特征和机理分析[J].气象学报,81(1):19-39.

[28]

Yang L, Zheng Y G, Yuan Z P, et al. 2023. The low-level meso-γ-scale vortices during the extreme rainfall in Shenyang on 16 August 2019: formation, merging, and rain-producing mechanisms [J].Acta Meteorologica Sinica,81(1):19-39 (in Chinese). doi:10.11676/qxxb2023.20220023

[29]

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.

[30]

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

[31]

郑永光,宋敏敏. 2021.冷涡影响中国对流性大风与冰雹的分布特征[J].热带气象学报,37(5-6):710-720.

[32]

Zheng Y G, Song M M. 2021. Analysis of influence of cold vortexes on distribution of convective high winds and hail in china [J].Journal of Tropical Meteorology,37(5-6):710-720 doi:10.16032/j.issn.1004-4965.2021.066.

[33]

Chen J, Zheng Y G, Zhang X L, et al. 2013. Distribution and diurnal variation of warm-season short-duration heavy rainfall in relation to the MCSs in China [J].Acta Meteorologica Sinica,27:868-888. doi:10.1007/s13351-013-0605-x

[34]

Doswell III C A, Brooks H E, Maddox R A. 1996. Flash flood forecasting: an ingredients-based methodology [J].Weather and Forecasting,11:560-581. doi:10.1175/1520-0434(1996)011<0560:FFFAIB>2.0.CO;2

[35]

Hersbach H, Bell B, Berrisford P, et al. 2019. Global reanalysis: goodbye ERA-Interim, hello ERA5 [J].ECMWF Newsletter,159:17-24. doi:10.21957/vf291hehd7

[36]

Luo Y, Wu M, Ren F, et al. 2016. Synoptic situations of extreme hourly precipitation over China [J].Journal of Climate,29:8703-8719. doi:10.1175/JCLI-D-16-0057.1

[37]

Lyu N, Lin Z, Nie J, et al. 2025. Environmental features of heavy precipitation under favorable synoptic patterns: a lesson from the 2021 Henan extreme precipitation event [J].Advances in Atmospheric Sciences. doi:10.1007/s00376-025-4328-6

[38]

Ma M, Tao S C, Zhu B Y, et al. 2005. Climatological distribution of lightning density observed by satellites in China and its circumjacent regions [J].Science in China Series D: Earth Sciences,48:219-229. doi:10.1360/03yd0204

[39]

Weisman M L, Klemp J B. 1982. The dependence of numerically simulated convective storms on vertical wind shear and buoyancy [J].Monthly Weather Review,110(6):504-520 doi:10.1175/1520-0493(1982)110

[40]

Yang L, Zheng Y G. 2024. The short-duration heavy rainfall in different quadrants of Northeast China cold vortices [J].Journal of Meteorological Research,38(2):321-338. doi:10.1007/s13351-024-3055-8

[41]

Yu X D, Zheng Y G. 2020. Advances in severe convection research and operation in China [J].Journal of Meteorological Research,34:189-217. doi:10.1007/s13351-020-9875-2

[42]

Zheng Y G, Chen J, Zhu P J. 2008. Climatological distribution and diurnal variation of mesoscale convective systems over China and its vicinity during summer [J].Chinese Science Bulletin,53:1574-1586. doi:10.1007/s11434-008-0116-9

基金资助

辽宁省气象局指导计划项目(ZD202447)

全国暴雨研究开放基金项目(BYKJ2024M03)

中国气象局创新发展专项(CXFZ2022J059)

中国气象局青年创新团队项目(CMA2024QN05)

中国气象局东北冷涡实验室开放基金项目(2024SYIAEKFZD02)

辽宁省科技计划联合计划项目(2024-MSLH-232,2025-MSLH-378)

中国气象科学研究院基本科研业务费项目(2023Z019)

辽宁省气象局核心攻关项目(HXGGZ202402)

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