长江流域资源与环境 >> 2020, Vol. 29 >> Issue (11): 2530-2540.doi: 10.11870/cjlyzyyhj202011020

• 自然灾害 • 上一篇    下一篇

江南地区两类区域性极端降水的特征对比分析

陈晓红1,张新主1* ,章新平1,2,龙浠玉 1
  

  1. (1. 湖南师范大学资源与环境科学学院,湖南 长沙 410081; 2. 湖南师范大学地理空间大数据挖掘与应用湖南省重点实验室,湖南 长沙 410081)
  • 出版日期:2020-11-20 发布日期:2020-12-17

Comparative Analysis of the Characteristics of Two Types of Regional Extreme Precipitation in Jiangnan Area

CHEN Xiao-hong 1, ZHANG Xin-zhu 1, ZHANG Xin-ping 1,2, LONG Xi-yu 1   

  1. (1.College of Resources and Environmental Science,Hunan Normal University,Changsha 410081, China; 2. Key Laboratory of Geospatial Big Data Mining and Application,Changsha 410081,China)
  • Online:2020-11-20 Published:2020-12-17

摘要: 基于中国气象局1961~2018年地面降水日值格点(0.5°×0.5°)数据集(V2.0)及位势高度、风速、比湿等NCEP/NCAR逐日再分析资料,采用百分位阈值法确认江南区域性极端降水事件,并对其天气图进行综合分析提取锋面型和气旋型极端降水,并对两类极端降水的时空分布及环流演变特征进行了对比。结果表明:(1)锋面型极端降水事件主要分布在春季,而气旋型主要分布在夏季,并且锋面型极端降水事件发生频率约为气旋型的3倍;(2)锋面型极端降水主要分布于武夷山脉、南岭等地势较高地区,而气旋型则位于东南沿岸地区,福建等地受两类极端降水影响都较大;(3)锋面型和气旋型极端降水发生前两天至当天,气流垂直上升速度均增大,副高西移,锋面型极端降水的最大水汽辐合中心由江南地区850 hPa等压面降至地表,而气旋型的水汽辐合中心位于地表由南向北移至江南地区;(4)锋面型极端降水形成所需的水汽主要来源于西太平洋、印度洋和孟加拉湾,汇合于江南地区,而气旋型水汽主要来源于印度洋,并呈涡旋型随时间西移。

Abstract: In this paper, based on the daily precipitation dataset of grid points(0.5°×0.5°) of version 2 during 1961-2018 from China Meteorological Administration and NCEP/NCAR daily reanalysis dataset such as potential height, wind speed, specific humidity and so on, the percentile threshold method is adopted to confirm regional extreme precipitation events of Jiangnan area, and the comprehensive analysis of weather maps are extracted frontal and cyclonic extreme precipitation, and the temporal and spatial distribution and circulation evolution characteristics of those are compared. The results show that: (1) Frontal extreme precipitation is mainly distributed in the spring, while the cyclonic extreme precipitation is mainly distributed in the summer, and the frequency of frontal extreme precipitation is about three times of that of the cyclones.(2) Frontal extreme precipitation is mainly distributed in Wuyi mountain range, Nanling and other higher areas, while the cyclonic type is located in the southeastern coastal region, and places such as Fujian are greatly affected by both types of extreme precipitation.(3) From two days before the occurrence of frontal and cyclonic extreme precipitation to the same day of them, the vertical ascending velocity of airflow increases, and the subtropical high moves to the west. The maximum water vapor convergence center of frontal extreme precipitation dropped from the 850 hPa isobaric surface in Jiangnan area to the surface, while the center of cyclonic extreme precipitation moved from south to north to Jiangnan area. (4) The water vapor required by frontal extreme precipitation mainly comes from the western Pacific Ocean, Indian Ocean and bay of Bengal, and converges in Jiangnan, while the cyclonic water vapor mainly comes from the Indian Ocean, and moves westward with time in a vortex pattern.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 乔伟峰|孙在宏|邵繁荣, 倪婷|冯松松|张果. 高度城市化区域土地利用结构演化与驱动因素分析——以苏州市为例[J]. 长江流域资源与环境, 2012, 21(05): 557 .
[2] 孙惠惠, 章新平, 罗紫东, 尚程鹏, 贺新光, 饶志国.  近53 a来长江流域极端降水指数特征[J]. 长江流域资源与环境, 2018, 27(08): 1879 .
[3] 张英浩, 陈江龙, 程 钰. 环境规制对中国区域绿色经济效率的影响机理研究——基于超效率模型和空间面板计量模型实证分析[J]. 长江流域资源与环境, 2018, 27(11): 2407 -2418 .
[4] 刘金科, 韩贵琳, 阳昆桦, 柳满. 九龙江流域河水溶解态碳的时空变化[J]. 长江流域资源与环境, 2018, 27(11): 2578 -2587 .
[5] 吕乐婷, 王晓蕊, 孙才志, 张 杰. 基于SWAT模型的细河流域蓝水绿水资源量时空分布研究[J]. 长江流域资源与环境, 2019, 28(01): 39 -47 .
[6] 李艳, 马百胜, 杨宣. 两类ENSO事件对中国东部地区极端降水的影响[J]. 长江流域资源与环境, 2019, 28(02): 469 -482 .
[7] 盖豪 颜廷武 何可 张俊飚. 社会嵌入视角下农户保护性耕作技术采用行为研究——基于冀、皖、鄂三省668份农户调查数据[J]. 长江流域资源与环境, 0, (): 0 .
[8] 孙 伟, 陈 雯, 刘崇刚, . 太湖流域水敏性与建设用地扩张的关联评价[J]. 长江流域资源与环境, 2019, 28(07): 1575 -1582 .
[9] 程琳琳, 张俊飚, 何可. 网络嵌入与风险感知对农户绿色耕作技术采纳行为的影响分析——基于湖北省615个农户的调查数据[J]. 长江流域资源与环境, 2019, 28(07): 1736 -1746 .
[10] 叶子, 蔡洁, 陈瑗, 夏显力. 家庭生命周期对农户农地转出行为的影响研究——基于秦巴山区农户调查数据的实证分析[J]. 长江流域资源与环境, 2019, 28(08): 1929 -1937 .