强对流风暴的再现：从标记自激点过程的角度进行实证分析

IF 3 4区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Environmental and Ecological Statistics Pub Date : 2024-02-10 DOI:10.1007/s10651-023-00593-4

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引用次数: 0

摘要

摘要本文主要从明显的时空自激点过程角度，对 1996 年至 2022 年期间美利坚合众国的冰雹和雷暴风事件进行评估。本文旨在评估和描述严重冰雹和雷暴风过程的时空自发和再现活动。本文的应用表明，根据灵活的半参数 ETAS 模型拟合，时空模式可以得到很好的拟合和清晰的解释。

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Severe convective storms’ reproduction: empirical analysis from the marked self-exciting point processes point of view

Abstract

The paper focuses on the evaluation of hailstorms’ and thunderstorms winds’ events in the United States of America, in the period from 1996 to 2022, under the marked spatio-temporal self-exciting point processes point of view. The aim of the present article is the assessment and description of the spatio-temporal spontaneous and reproducing activity of severe hailstorms’ and thunderstorms winds’ processes. The present application shows how the spatio-temporal pattern is well-fitted and clearly explainable, according to the flexible semi-parametric ETAS model fitting.

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来源期刊

Environmental and Ecological Statistics 环境科学-环境科学

CiteScore

5.90

自引率

2.60%

发文量

审稿时长

>36 weeks

期刊介绍： Environmental and Ecological Statistics publishes papers on practical applications of statistics and related quantitative methods to environmental science addressing contemporary issues. Emphasis is on applied mathematical statistics, statistical methodology, and data interpretation and improvement for future use, with a view to advance statistics for environment, ecology and environmental health, and to advance environmental theory and practice using valid statistics. Besides clarity of exposition, a single most important criterion for publication is the appropriateness of the statistical method to the particular environmental problem. The Journal covers all aspects of the collection, analysis, presentation and interpretation of environmental data for research, policy and regulation. The Journal is cross-disciplinary within the context of contemporary environmental issues and the associated statistical tools, concepts and methods. The Journal broadly covers theory and methods, case studies and applications, environmental change and statistical ecology, environmental health statistics and stochastics, and related areas. Special features include invited discussion papers; research communications; technical notes and consultation corner; mini-reviews; letters to the Editor; news, views and announcements; hardware and software reviews; data management etc.