主办单位：中国气象局沈阳大气环境研究所
国际刊号：ISSN 1673-503X
国内刊号：CN 21-1531/P
气象与环境学报

气象与环境学报 ›› 2021, Vol. 37 ›› Issue (1): 100-105.doi: 10.3969/j.issn.1673-503X.2021.01.013

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2015—2019年辽宁省暴雨红色预警信号分布及其特征

刘静1,2(),陈传雷2,*(),严俊2,王瀛2,才奎志2,任川3,韩梅4,董巍5   

  1. 1. 中国气象局沈阳大气环境研究所, 辽宁 沈阳 110166
    2. 辽宁省气象灾害监测预警中心, 辽宁 沈阳 110166
    3. 辽宁省气象信息中心, 辽宁 沈阳 110166
    4. 本溪市气象局, 辽宁 本溪 110121
    5. 中国气象局气象干部培训学院辽宁分院, 辽宁 沈阳 110166
  • 收稿日期:2020-06-15 出版日期:2021-02-28 发布日期:2021-01-21
  • 通讯作者: 陈传雷 E-mail:liujing-syau@163.com;ln_ccl@163.com
  • 作者简介:刘静, 女, 1985年生, 高级工程师, 主要从事短临预报预警研究, E-mail: liujing-syau@163.com
  • 基金资助:
    2020年中国气象局沈阳大气环境研究所和东北冷涡研究重点开放实验室联合开放基金课题(2020SYIAE05);2020年数值预报发展专项“多模式降水及雷达回波检验评估”

Characteristic analysis of red rainstorm warning signals from 2015 to 2019 in Liaoning province

Jing LIU1,2(),Chuan-lei CHEN2,*(),Jun YAN2,Ying WANG2,Kui-zhi CAI2,Chuan REN3,Mei HAN4,Wei DONG5   

  1. 1. Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China
    2. Liaoning Warning Center of Meteorological Disaster Monitoring, Shenyang 110166, China
    3. Liaoning Meteorological information center, Shenyang 110166, China
    4. Benxi Meteorological Observatory, Benxi 110121, China
    5. Liaoning Branch of Training School of Meteorological Cadres in China Meteorological Administration, Shenyang 110166, China
  • Received:2020-06-15 Online:2021-02-28 Published:2021-01-21
  • Contact: Chuan-lei CHEN E-mail:liujing-syau@163.com;ln_ccl@163.com

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摘要：

利用2015—2019年辽宁省发布的暴雨红色预警信号和1605个自动站的分钟级降水资料，统计暴雨红色预警信号和短时大暴雨年际变化和时空分布，分析暴雨红色预警信号的高分布区、易发时段。结果表明：2015—2017年辽宁省暴雨红色预警信号发布站数逐年递增，最大值出现在2017年，发布站数为147个；2015—2018年预警信号准确率提升，提前时间略减少，最低值为2018年，提前时间为19 min；2019年比2018年暴雨红色预警信号发布站数减少59个，提前时间增加29 min；暴雨红色预警信号的空间分布为东南部地区多、中部地区少；暴雨红色预警信号多在夜间发布；在辽宁省发布的50%以上的暴雨红色预警信号中，降水量达到预警发布标准的时间滞后于最大雨强出现时间90 min，最大雨强出现时间为暴雨红色预警信号发布的重要指标。为了达到防灾减灾的服务效果，发布暴雨红色预警信号时，应充分考虑最大雨强出现时间、发布时机、短时大暴雨高发区及地形的影响。

关键词: 暴雨红色预警信号, 短时大暴雨, 最大雨强

Abstract:

Using the information of the red rainstorm warning signals and the minute-level precipitation observation data of 1605 automatic stations in Liaoning province from 2015 to 2019, the inter-annual variation characteristics and spatio-temporal distribution of the red rainstorm warning signals and the short-term heavy rainstorm are counted.Furthermore, the centralized area and time of the red rainstorm warning signals are analyzed.The results showed that the number of red rainstorm warning signals from 2015 to 2017 has increased year by year, with a maximum of 147 in 2017.The advance time of red rainstorm warning signals has little decreased for the improvement of accuracy, with the minimum value of 19 minutes in 2018.The number of warning signals issued in 2019 has 59 less than in 2018, the advance time increases 29 minutes.The frequency of the red rainstorm warning signals is high in the southeast and low in the central areas.Statistics also show that the red rainstorm warning signals are mostly issued at night.In more than 50% of the cases, the time when the accumulated rainfall meets the issuing requirements of the red rainstorm warning signal is 90 minutes after the time with the maximum rainfall intensity.So, the occurrence time of the maximum rainfall intensity is an important indication for the issuing of the red rainstorm warning signal.To improve the surface effect on disaster prevention and mitigation, when considering the issuing of red rainstorm warning signals, the occurring time of the maximum rainfall intensity, the issuing time, the high-incidence area and the geography should be considered carefully.

Key words: Red rainstorm warning signal, Short-term heavy rainstorm, Maximum rain intensity

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