区域降水指数:方法分析及在希腊的应用

IF 2 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
K. Lagouvardos, G. Papavasileiou, K. Papagiannaki, S. Dafis, E. Galanaki, T. M. Giannaros, I. Koletsis, V. Kotroni
{"title":"区域降水指数:方法分析及在希腊的应用","authors":"K. Lagouvardos,&nbsp;G. Papavasileiou,&nbsp;K. Papagiannaki,&nbsp;S. Dafis,&nbsp;E. Galanaki,&nbsp;T. M. Giannaros,&nbsp;I. Koletsis,&nbsp;V. Kotroni","doi":"10.1002/asl.1184","DOIUrl":null,"url":null,"abstract":"<p>The current work focuses on the development of a regional precipitation index (RPI) to rank precipitation events in Greece, with the goal of identifying the most severe weather events in terms of their potential to cause socioeconomic impacts. The study is motivated by the increasing occurrence of extreme weather events and accompanying hydrogeological phenomena worldwide, which have caused significant infrastructure damage and loss of life. The analysis is based on the exploitation of the ERA-Land high-resolution rainfall dataset, covering the period from 1991 to 2020, while it considers both the area and the population affected by each rainfall event. The study provides a categorization of the ranked storms based on the percentiles of all non-zero RPI values and highlights the socioeconomic impacts of the most severe weather events. The findings suggest that the developed RPI can be a useful tool for early warning systems and risk management strategies, particularly for emergency preparedness and response. The resulting ranking procedure has been applied operationally by the METEO unit of the National Observatory of Athens since fall 2021.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"24 12","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1184","citationCount":"0","resultStr":"{\"title\":\"Regional precipitation index: Method analysis and application over Greece\",\"authors\":\"K. Lagouvardos,&nbsp;G. Papavasileiou,&nbsp;K. Papagiannaki,&nbsp;S. Dafis,&nbsp;E. Galanaki,&nbsp;T. M. Giannaros,&nbsp;I. Koletsis,&nbsp;V. Kotroni\",\"doi\":\"10.1002/asl.1184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The current work focuses on the development of a regional precipitation index (RPI) to rank precipitation events in Greece, with the goal of identifying the most severe weather events in terms of their potential to cause socioeconomic impacts. The study is motivated by the increasing occurrence of extreme weather events and accompanying hydrogeological phenomena worldwide, which have caused significant infrastructure damage and loss of life. The analysis is based on the exploitation of the ERA-Land high-resolution rainfall dataset, covering the period from 1991 to 2020, while it considers both the area and the population affected by each rainfall event. The study provides a categorization of the ranked storms based on the percentiles of all non-zero RPI values and highlights the socioeconomic impacts of the most severe weather events. The findings suggest that the developed RPI can be a useful tool for early warning systems and risk management strategies, particularly for emergency preparedness and response. The resulting ranking procedure has been applied operationally by the METEO unit of the National Observatory of Athens since fall 2021.</p>\",\"PeriodicalId\":50734,\"journal\":{\"name\":\"Atmospheric Science Letters\",\"volume\":\"24 12\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1184\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmospheric Science Letters\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/asl.1184\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Science Letters","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/asl.1184","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

目前的工作重点是制定一个区域降水指数(RPI),对希腊的降水事件进行排名,目的是根据其造成社会经济影响的可能性来确定最严重的天气事件。这项研究的动机是全球范围内极端天气事件和随之而来的水文地质现象日益增多,这些事件造成了严重的基础设施破坏和生命损失。该分析基于ERA‐Land高分辨率降雨数据集的开发,涵盖1991年至2020年期间,同时考虑了受每次降雨事件影响的地区和人口。该研究根据所有非零RPI值的百分位数对风暴进行了分类,并强调了最恶劣天气事件的社会经济影响。研究结果表明,开发的RPI可以成为预警系统和风险管理战略的有用工具,特别是在应急准备和响应方面。自2021年秋季以来,雅典国家天文台METEO部门已在运行中应用了由此产生的排名程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Regional precipitation index: Method analysis and application over Greece

Regional precipitation index: Method analysis and application over Greece

The current work focuses on the development of a regional precipitation index (RPI) to rank precipitation events in Greece, with the goal of identifying the most severe weather events in terms of their potential to cause socioeconomic impacts. The study is motivated by the increasing occurrence of extreme weather events and accompanying hydrogeological phenomena worldwide, which have caused significant infrastructure damage and loss of life. The analysis is based on the exploitation of the ERA-Land high-resolution rainfall dataset, covering the period from 1991 to 2020, while it considers both the area and the population affected by each rainfall event. The study provides a categorization of the ranked storms based on the percentiles of all non-zero RPI values and highlights the socioeconomic impacts of the most severe weather events. The findings suggest that the developed RPI can be a useful tool for early warning systems and risk management strategies, particularly for emergency preparedness and response. The resulting ranking procedure has been applied operationally by the METEO unit of the National Observatory of Athens since fall 2021.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Atmospheric Science Letters
Atmospheric Science Letters METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.90
自引率
3.30%
发文量
73
审稿时长
>12 weeks
期刊介绍: Atmospheric Science Letters (ASL) is a wholly Open Access electronic journal. Its aim is to provide a fully peer reviewed publication route for new shorter contributions in the field of atmospheric and closely related sciences. Through its ability to publish shorter contributions more rapidly than conventional journals, ASL offers a framework that promotes new understanding and creates scientific debate - providing a platform for discussing scientific issues and techniques. We encourage the presentation of multi-disciplinary work and contributions that utilise ideas and techniques from parallel areas. We particularly welcome contributions that maximise the visualisation capabilities offered by a purely on-line journal. ASL welcomes papers in the fields of: Dynamical meteorology; Ocean-atmosphere systems; Climate change, variability and impacts; New or improved observations from instrumentation; Hydrometeorology; Numerical weather prediction; Data assimilation and ensemble forecasting; Physical processes of the atmosphere; Land surface-atmosphere systems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信