2020年7月4日豫西北大暴雨数值分析
Numerical Analysis of a Cloudburst on July 4th 2020 in Northwest Henan
DOI: 10.12677/CCRL.2021.106075, PDF,   
作者: 冯浩鹏:成都信息工程大学,大气科学学院,四川 成都;牛广山*:河南省焦作市气象局,河南 焦作
关键词: 大暴雨水汽条件动力条件不稳定能量Cloudburst Water Vapor Condition Dynamic Condition Unstable Energy
摘要: 为了研究2020年7月4日豫西北地区的一次大暴雨发展过程,本文应用常规观测资料、欧洲气象中心ERA5再分析资料以及探空资料,利用常规观测资料对豫西北地区此次降水的环流背景、影响系统进行天气学分析;利用再分析资料以及探空资料对此次降水的水汽条件、动力条件和不稳定能量等方面进行数值分析。结果表明:1) 此次大暴雨过程中高纬地区为“两槽一脊”的环流形势,西槽后引导冷空气经新疆地区南压,与暖湿空气交汇,促进不稳定能量释放。豫西北地区上游短波槽发展,有正的相对涡度平流,使局地涡度增加。低层辐合,高层辐散的高低空配置,有利于垂直上升运动加强,且强度超过0.8 Pa/s,为大暴雨天气提供了动力条件。2) 此次降水过程水汽充足,来自孟加拉湾以及我国南海的暖湿气流在华南地区汇合,受副高脊线以及小高压影响,不断向豫西北地区输送。3) 降水过程期间,豫西北地区是假相当位温高值区,河南省以南的高值区,通过豫中地区向北输送不稳定能量。垂直剖面图上,500 hPa为分界点,且假相当位温分布密集。500 hPa以上,假相当位温递增,大气层结稳定;500 hPa以下,地面至600 hPa附近,假相当位温递减,且∆θse600-850达到了−36℃,不稳定能量较强。4) 探空资料中,对流有效位能(Convective Available Potential Energy, CAPE)先增大而后减小,对流抑制能量(Convective Inhibition, CIN)逐渐增大,两个物理量的值在大暴雨过程前后变化明显,表明了此次大暴雨过程中能量的积聚情况,对暴雨的发生发展有一定的指示作用。
Abstract: In order to study the development process of a cloudburst in northwest Henan province on July 4th, 2020, in this paper, the general observation data, the ERA5 reanalysis data of the European meteorological center and the sounding data were used. Synoptic analysis was made on the circulation background and influence system of the cloudburst in the northwest of Henan province by using general observation data; numerical analysis was made on the water vapor condition, dynamic condition and unstable energy of the process by using the reanalysis data and sounding data. The results showed that: 1) The circulation pattern of “Two troughs and one ridge” in the high latitude area, the cold air at the rear of the western trough would pass through the south of Xinjiang region and converged with the warm and humid air to promote the release of unstable energy. There was positive relative vorticity advection in the upper short-wave troughs in northwest Henan, which increased the local vorticity. The low level convergence and high level divergence were favorable for strengthening the vertical ascending motion, and the intensity was more than 0.8 Pa/s, which provided the dynamic condition for heavy rain. 2) The moisture was sufficient. The warm and humid air from Bay of Bengal and South China Sea converged in South China, and under the influence of the western Pacific subtropical high and the high-pressure system in northwest Henan, it continuously transported water vapor to northwest Henan. 3) In the process of precipitation, the northwest area of Henan province was the high value area of pseudo-equivalent potential temperature; south of Henan province was also a high-value region of pseudo-equivalent potential temperature, sending unstable energy northward through central Henan. On the vertical section, 500 hPa level was the boundary point, and the distribution of pseudo-equivalent potential temperature was dense. Above 500 hPa level, the pseudo-equivalent potential temperature increased and the atmospheric stratification was stable; below 500 hPa, ground to near 600 hPa, the pseudo-equivalent potential temperature decreased, ∆θse600-850 reached −36˚C, and the unstable energy was strong. 4) In the sounding data, CAPE and CIN changed obviously before and after the process, which indicated the energy accumulation during the heavy rain process, which had indication for the occurrence and development of heavy rain.
文章引用:冯浩鹏, 牛广山. 2020年7月4日豫西北大暴雨数值分析[J]. 气候变化研究快报, 2021, 10(6): 643-661. https://doi.org/10.12677/CCRL.2021.106075

参考文献

[1] 汪小康, 廖移山. 2015年6月1日江汉平原大暴雨过程诊断分析[J]. 暴雨灾害, 2015, 34(2): 184-190.
[2] 钱鹏, 蒋薇, 孔启亮, 等. 一次持续大范围暴雨过程诊断分析[J]. 气象科学, 2012, 32(2): 188-193.
[3] 孙仲毅, 李继华, 岳超. 河南省中北部一次区域性暴雨天气诊断分析[J]. 安徽农业科学, 2011, 39(27): 16839-16842.
[4] 黄楚惠, 顾清源, 李国平, 等. 一次高原低涡东移引发四川盆地暴雨的机制分析[J]. 高原气象, 2010, 29(04): 832-839.
[5] 黄建和. 鄂托克前旗2019年8月2-3日暴雨成因诊断个例分析[J]. 科学技术创新, 2021(9): 25-26.
[6] 王亚婷, 高万泉, 王志超, 等. 2018年8月5日保定一次暴雨过程诊断分析[J]. 农业灾害研究, 2020, 10(5): 65-67.
[7] 张文军, 李健. 对甘肃酒泉一次暴雨的数值模拟和诊断分析[J]. 干旱气象, 2012, 30(1): 100-106.
[8] 漆梁波, 徐珺. 豫北“7•9”特大暴雨的短期预报分析和反思[J]. 气象, 2018, 44(1): 1-14.
[9] 喻谦花, 姜东东, 康暑雨. 河南省2011年8月1-2日暴雨过程水汽条件与垂直螺旋度分析[J]. 气象与环境科学, 2012, 35(2): 56-60.
[10] 赵强, 王楠, 陈小婷, 等. “8•21”陕西中北部暴雨成因对比及预报偏差分析[J]. 干旱气象, 2020, 38(4): 559-568.
[11] 文宝安. 物理量计算及其在暴雨分析预报中的应用——水汽通量与水汽通量散度[J]. 气象, 1980(6): 34-36.
[12] 胡淑兰, 李社宏, 武麦凤, 等. 陕西中北部一次大暴雨天气过程分析[J]. 干旱区研究, 2009, 26(2) 287-293.
[13] 李兴良, 陈德辉, 沈学顺. 不同垂直坐标系对垂直速度计算的影响[J]. 热带气象学报, 2005, 21(3): 265-276.
[14] 杨帅, 高守亭. 三维散度方程及其对暴雨系统的诊断分析[J]. 大气科学, 2007, 31(1): 167-179.
[15] 马月枝, 钟兴华, 宋培玲, 等. 2010年7月19日新乡大暴雨天气分析[J]. 气象与环境科学, 2011, 34(1): 49-55.
[16] Zhong, Z., Chen, X., Yang, X.-Q. and Ha, Y. and Sun, Y. (2019) The Relationship of Frequent Tropical Cyclone Activities over the Western North Pacific and Hot Summer Days in Central-Eastern China. Theoretical and Applied Climatology, 138, 1395-1404. [Google Scholar] [CrossRef
[17] 苟尚, 杨瑞鸿, 吴文辉, 等. 2013年7月21日甘肃河东大暴雨过程分析[J]. 安徽农学通报, 2020, 26(19): 147-150+159.
[18] 甘璐, 邓长菊, 李津. 北京地区“7•21”特大暴雨不稳定能量诊断分析[J]. 气象与环境学报, 2015, 31(4): 1-6.
[19] Guo, C., Xiao, H., Yang, H. and Tang, Q. (2015) Observation and Modeling Analyses of the Macro- and Microphysical Characteristics of a Heavy Rain Storm in Beijing. Atmospheric Research, 156, 125-141. [Google Scholar] [CrossRef
[20] 张景, 周玉淑, 沈新勇, 等. 2016年“7•19”京津冀极端降水系统的动热力结构及不稳定条件分析[J]. 大气科学 2019, 43(4): 930-942.
[21] 杨罗. “75•8”特大暴雨洪水情况及主要经验教训探讨[J]. 治淮, 2005(8): 13-14.
[22] 司福意, 赵海清, 李社宗. 西风槽影响下豫西北两类强对流天气流型和物理量特征分析[J]. 气象与环境科学, 2018, 41(3): 57-63.
[23] 郭艳君, 丁一汇. 1958-2005年中国高空大气比湿变化[J]. 大气科学, 2014, 38(1): 1-12.
[24] 朱乾根, 林锦瑞, 寿绍文, 等. 天气学原理和方法[M]. 北京: 气象出版社, 2000.
[25] 靳莉君, 任伟, 周丹丹. 假相当位温在黄河“7•21”雨洪分析中的应用[J]. 人民黄河, 2013, 35(6): 25-26.
[26] 刘健文, 郭虎, 李耀东, 等. 天气分析预报物理量计算基础[M]. 北京: 气象出版社, 2005.
[27] 康红勋. 信阳市对流性强降水的物理量特征分析[J]. 河南科技, 2020, 39(25): 149-151.