天气与气候

陕西省冰雹气候变化特征及其关键影响因素分析

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  • 1.西北大学城市与环境学院,陕西 西安 710127
    2.陕西省地表系统与环境承载力重点实验室,陕西 西安 710127
    3.西北大学西安气象科技研究院,陕西 西安 710127
    4.西北大学信息科学与技术学院,陕西 西安 710127
马荣君(2001-),男,主要研究方向为极端天气的演变特征及机理分析. E-mail: 807246178@qq.com

收稿日期: 2021-09-06

  修回日期: 2021-10-23

  网络出版日期: 2022-05-30

基金资助

陕西省教育厅自然科学项目(20JK0925);陕西省高校科协青年人才托举计划项目(20210706)

Characteristics and causes of climate change in hail in occurrence Shaanxi Province

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  • 1. College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, Shaanxi, China
    2. Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi’an 710127, Shaanxi, China
    3. Institute of Meteorological Science and Technology, Northwest University, Xi’an 710127, Shaanxi, China
    4. School of Information Science and Technology, Northwest University, Xi’an 710127, Shaanxi, China

Received date: 2021-09-06

  Revised date: 2021-10-23

  Online published: 2022-05-30

摘要

基于2000—2019年99个地面观测站记录的冰雹数据及ECMWF提供的ERA5各项参数月平均数据,结合线性回归、5 a滑动平均等方法,分析了陕西省冰雹变化特征及关键影响因素。结果表明:(1) 陕西省冰雹次数在地理位置上呈现由南到北增加的特征,海拔高度与年平均冰雹次数在低海拔表现出显著的正相关关系。(2) 陕西省冰雹受季节影响程度呈现由南到北增强的特征,其中陕北、关中冰雹次数夏多冬少,陕南冰雹次数各季节相对平均。(3) 陕西省年际冰雹次数整体呈下降趋势,其中陕北地区下降速度最快,关中地区其次,而陕南地区年际变化无明显变化趋势。(4) 对流有效位能(CAPE)对陕西省冰雹年际趋势起主导作用;K指数对陕北夏季、关中春季冰雹次数变化趋势起主导作用;0 ℃层高度对关中夏、秋季与陕南春、夏季冰雹次数变化趋势起主导作用。

本文引用格式

马荣君,李潇斐,毛彦霖,薛宇桐,吴战昊 . 陕西省冰雹气候变化特征及其关键影响因素分析[J]. 干旱区研究, 2022 , 39(3) : 767 -773 . DOI: 10.13866/j.azr.2022.03.10

Abstract

Numerous studies have shown that the number of hailstorms in Shaanxi Province (northern China) has been significantly decreasing from the late 1990s to the present, but studies on the characteristics of hailstorm changes within more specific provincial regions are lacking. To investigate the hail occurrence patterns in Shaanxi Province and to better predict and prevent hail, this paper analyzes the characteristics of hail variability in Shaanxi Province on the basis of hail data recorded at 99 ground stations from 2000 to 2019 provided by the Meteorological Center of the Shaanxi Provincial Meteorological Bureau. For the analysis of different regions in the province, the stations were divided into three regions, namely northern Shaanxi (Yan’an and Yulin), central Guanzhou (Xi’an, Baoji, Xianyang, Tongchuan, and Weinan), and southern Shaanxi (Hanzhong, Ankang, and Shangluo) according to the administrative divisions of the cities where the stations are located. The climatic characteristics of hail in each region were analyzed separately. We found that the number of hailstorms in Shaanxi Province increases from south to north; a linear fit of elevation to the mean annual hailstorm number revealed a significantly positive correlation between elevation and mean annual hailstorm number at low elevations, with each 1 m increase in elevation within 1.5 km of elevation increasing the mean annual hailstorm number by 0.0007. Furthermore, hail occurrence in Shaanxi Province increases from south to north with seasonal differences; hailstorms in northern Shaanxi occur more frequently in the summer and less frequently in the winter. The region with the next-highest number of hailstorms is Guanzhong, and an average number of hailstorms occurs in southern Shaanxi. A 5 year sliding average of the interannual hail counts was fitted linearly, and results show a decreasing trend in the overall interannual hail counts in Shaanxi Province, with the fastest decline in northern Shaanxi, followed by Guanzhong; there was no significant interannual variation in southern Shaanxi. Using monthly averages of ERA5 parameters provided by the ECMWF and considering the physical mechanisms of the hail process, eight indicators were selected and fitted to the 5 year sliding average: (1) convective effective potential energy (CAPE); (2) the K-index; (3) 2 m temperature (i.e., air mass temperature 2 m from the ground); (4) 2 m dew point (i.e., air mass dew point temperature 2 m from the ground); (5) 0 ℃ layer height; (6) convective precipitation; (7) total precipitation; and (8) cloud base height. A linear fit was made to the hail counts; results show that CAPE played a dominant role in the interannual trend of hail in Shaanxi Province, and the K-index played a dominant role in the summer in northern Shaanxi and in the spring in Guanzhong. Furthermore, the 0 ℃ layer height played a dominant role in the trend of hail counts during the summer and autumn in Guanzhong and during the spring and summer in southern Shaanxi.

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