Character of Convective Systems Producing Short-Term Heavy Precipitation in Central China Revealed by Kilometer and Minute Interval Observations

IF 2.8 3区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Zitong Chen, Yunying Li, Zhiwei Zhang, Jing Sun, Chengzhi Ye, Anyuan Xiong
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引用次数: 0

Abstract

Accurate forecasting of heavy precipitation in central China is still a challenge, within which a key issue is our still incomplete understanding of the convective systems (CSs) responsible for such events. In this study, through use of an iterative rain-cell tracking algorithm, the macroscale characteristics (scale, intensity, duration, etc.) of the CSs that produced 595 short-term heavy precipitation events in Hunan Province, central China, are quantitatively analyzed, based on radar reflectivity, echo top, and rainfall observations at 1-km and 6-min intervals in April–September of 2016–2018. The results show that CSs present significant seasonal and diurnal features. Spring CSs usually cover a larger echo area with stronger convective cores and thus generate more precipitation than summer CSs, though summer CSs develop more vigorously and frequently. CSs initiated at 1400–1600 local time are characterized by the strongest convection and a smaller spatiotemporal scale, causing violent and transient showers with typical areal precipitation of 0.5–1 mm km−2, but less total precipitation. Further analyses of the relationships among the scale, intensity, duration, and total precipitation of CSs reveal that the convective intensity is linearly correlated to the spatiotemporal scale of CSs, with the duration increasing on average by 0.0372 h dBZ−1; the echo area is significantly correlated to the total precipitation, and the duration and rainfall amount are connected with the area expansion rate (AER) of CSs: when the AER exceeds 50%, CSs expand rapidly with increasing total precipitation, but the duration is shorter. These findings provide a helpful reference for the forecasting of short-term heavy precipitation induced by CSs in central China.

通过公里和分钟间隔观测揭示华中地区产生短期强降水的对流系统特征
中国中部地区强降水的准确预报仍是一项挑战,其中一个关键问题是我们对造成此类事件的对流系统(CS)的了解仍不全面。在本研究中,通过使用迭代雨胞跟踪算法,基于2016-2018年4-9月1-km和6-min间隔的雷达反射率、回波顶和雨量观测资料,定量分析了在中国中部湖南省产生595次短时强降水事件的CSs的宏观尺度特征(尺度、强度、持续时间等)。结果表明,CSs 具有明显的季节性和昼夜性特征。春季 CS 通常覆盖更大的回波区域,具有更强的对流核心,因此比夏季 CS 产生更多降水,尽管夏季 CS 的发展更为强劲和频繁。在当地时间 14:00-16:00 开始的 CS 具有对流最强、时空尺度较小的特点,会引起剧烈的瞬时阵雨,典型的面积降水量为 0.5-1 毫米 km-2,但总降水量较少。进一步分析CSs的尺度、强度、持续时间和总降水量之间的关系发现,对流强度与CSs的时空尺度呈线性相关,持续时间平均增加0.0372 h dBZ-1;回波面积与总降水量显著相关,持续时间和降水量与CSs的面积扩展率(AER)有关:当AER超过50%时,CSs随着总降水量的增加而迅速扩展,但持续时间较短。这些研究结果为华中地区CS诱发短时强降水的预报提供了有益的参考。
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来源期刊
Journal of Meteorological Research
Journal of Meteorological Research METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
6.20
自引率
6.20%
发文量
54
期刊介绍: Journal of Meteorological Research (previously known as Acta Meteorologica Sinica) publishes the latest achievements and developments in the field of atmospheric sciences. Coverage is broad, including topics such as pure and applied meteorology; climatology and climate change; marine meteorology; atmospheric physics and chemistry; cloud physics and weather modification; numerical weather prediction; data assimilation; atmospheric sounding and remote sensing; atmospheric environment and air pollution; radar and satellite meteorology; agricultural and forest meteorology and more.
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