K. Lagouvardos, G. Papavasileiou, K. Papagiannaki, S. Dafis, E. Galanaki, T. M. Giannaros, I. Koletsis, V. Kotroni
{"title":"Regional precipitation index: Method analysis and application over Greece","authors":"K. Lagouvardos, G. Papavasileiou, K. Papagiannaki, S. Dafis, E. Galanaki, T. M. Giannaros, I. Koletsis, 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}
引用次数: 0
Abstract
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.
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.