罗马尼亚东北部冰雹的Rawinsonde和ERA5资料对流参数特征

Vasilică Istrate, Dorin Podiuc, Dragoș Andrei Sîrbu, Eduard Popescu, Emil Sîrbu, Doru Dorian Popescu
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引用次数: 0

摘要

利用1981 ~ 2020年378个冰雹日数据库,对探测资料和ERA5资料中23个对流参数的气候特征进行了统计分析。本研究的目的是评估从探空资料和再分析资料中获得的对流参数对冰雹现象业务预报的有用性和代表性。因此,在ERA5数据的情况下,从UTC 12:00开始的CAPE平均值分别为433 J/kg和505 J/kg。参数值之间的Spearman相关系数矩阵表明,基于包裹理论计算的参数、湿度指数和复指数之间存在较高的相关性。低层和边界层湿度、高CAPE和高抬升凝结高度(LCL)会增加大冰雹的发生概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics of Convective Parameters Derived from Rawinsonde and ERA5 Data Associated with Hailstorms in Northeastern Romania
Using a database of 378 hail days between 1981 and 2020, the climatic characteristics of 23 convective parameters from sounding data and ERA5 data were statistically analysed. The goal of this work is to evaluate the usefulness and representativeness of convective parameters derived from sounding data and reanalysis data for the operational forecast of the hail phenomenon. As a result, the average values from 12:00 UTC were 433 J/kg for CAPE in the case of data from ERA5 and 505 J/kg from rawinsonde, respectively. The Spearman correlation coefficient matrix between the values of the parameters indicates high correlations among the parameters calculated based on the parcel theory, humidity indices, and the complex indices. The probability for large hail increases with high values of low-level and boundary-layer moisture, high CAPE, and a high lifting condensation level (LCL) height.
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