Characteristics of Hailstone Distribution Based on Disaster Information in Beijing from 1981 to 2017

Hu Yaqiong; Bian Yuxuan; Huang Mengyu; Ma Xincheng

doi:10.11898/1001-7313.20190607

Vol.30, NO.6, 2019

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Hu Yaqiong, Bian Yuxuan, Huang Mengyu, et al. Characteristics of hailstone distribution based on disaster information in Beijing from 1981 to 2017. J Appl Meteor Sci, 2019, 30(6): 710-721. DOI: 10.11898/1001-7313.20190607.

Citation:

Hu Yaqiong, Bian Yuxuan, Huang Mengyu, et al. Characteristics of hailstone distribution based on disaster information in Beijing from 1981 to 2017. J Appl Meteor Sci, 2019, 30(6): 710-721. DOI: 10.11898/1001-7313.20190607.

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Characteristics of Hailstone Distribution Based on Disaster Information in Beijing from 1981 to 2017

DOI: 10.11898/1001-7313.20190607

Hu Yaqiong^1,2,3,
Bian Yuxuan^{4
,
,},
Huang Mengyu^1,2,3,
Ma Xincheng^1,2,3

1.
Beijing Key Laboratory of Cloud, Precipitation and Atmospheric Water Resources, Beijing 100089
2.
Field Experiment Base of Cloud and Precipitation Research in North China, China Meteorological Administration, Beijing 101200
3.
Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089
4.
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081

Received Date: 2019-07-15
Rev Recd Date: 2019-09-30
Publish Date: 2019-11-01

Abstract

Abstract

Fine analysis on the variation of temporal and spatial distributions of hail day, frequency and size is very important for risk evaluation and hail suppression. The hailstone disaster information with high spatial resolution can be used to provide database for analyzing characteristics and patterns of hail distribution. After meshing the hailstone disaster information in Beijing into a gridded database, the following results are summarized by analyzing 1010 cases of hail disaster information in Beijing during 1981-2017. The number of annual averaged hail days during 1981-1990 is 10 days, which is relatively more than that during 1991-2000 and 2001-2010, while the number increases to 21 days from 2011 to 2017. The annual averaged maximum hail diameter increases from 1981 to 1995, and then decreases since 2002. It is significant that the monthly variation of hail days is unimodal distributed. Hail days increase gradually from April and reach the peak in June, and then decline slowly. The average monthly hail days during 2011-2017 are higher than those in other periods, and the average monthly hail days during 2001-2010 are generally low. The difference of maximum hail diameter in each month is not obvious, as far as the difference between different ages, the monthly maximum hail diameter during 1981-1990 increased first and then decreased, while the value during 1991-2000 is larger in general. Hails occur most frequently in the afternoon in Beijing. The daily variation of hail days during 1981-1990 and 1991-2000 show obvious single peak characteristics, but the frequency drops significantly from 2001 to 2010. The frequency of hails from 1400 BT to 2100 BT during 2011-2017 is stable and much higher than that in 1991-2000 and 2001-2010. At the same time, it is also observed that hails occurring at night during 2011-2017 are also higher. It is obvious that hailstorms are widely distributed in Beijing. The maximum hail frequency of horizontal distribution is the highest in 1981-1990, and then decreases gradually, but recovers during 2011-2017. During 1981-1990 and 2001-2010, the hail frequency in Yanqing District, northwest of Beijing is the highest, and Haidian District is another high hail frequency area in Beijing downtown. From 2011 to 2017, the distribution of hailstorms is relatively uniform. Combining the information of hail disaster with other related data, and causes for this spatial and temporal distribution variation will be investigated.
- Beijing;
- disaster information;
- hailstone;
- temporal and spatial distributions

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References(32)

Figures and Tables

Fig. 1 Total hail frequency in Beijing during 1981-2017

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Fig. 2 Interannual variations of mean maximum hail diameter (the thick line is the mean and the thin line is the mean plus or minus standard deviation) (a), hail days(b) and frequency(c)

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Fig. 3 The annual variation of maximum hail diameter (the thick line is the mean and the thin line is the mean plus or minus standard deviation) (a) and hail days(b)

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Fig. 4 Diurnal variations of maximum hail diameter (the thick line is the mean and the thin line is the mean plus or minus standard deviation) (a) and hail days(b)

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图 5 1981—2017年北京地区累计降雹频次分布

(灰色表示地形高度)

Fig. 5 Cumulative hail frequency distribution in Beijing during 1981-2017

(the grey denotes the altitude)

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图 6 1981—1990年、1991—2000年、2001—2010年和2011—2017北京地区年平均降雹频次(填色)分布

(灰色表示地形高度)

Fig. 6 Annual average frequency (the shaded) of hail in Beijing during 1981-1990, 1991-2000, 2001-2010, 2011-2017

(the grey denotes the altitude)

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图 7 4—10月北京地区月降雹频次分布

(灰色表示地形高度)

Fig. 7 Monthly cumulative hail frequency distribution in Beijing from Apr to Oct

(the grey denotes the altitude)

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Table 1 Approximate hailstone diameter interpreted from disaster information

信息描述	估算直径/mm
乒乓球	40
核桃	40
葡萄	20
枣	20
卫生球	20
蚕豆粒	15
杏核	15
花生米	10
玉米粒	8
豌豆粒	8
黄豆粒	8
绿豆	5
米粒	5

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