Signals of change in the Campania region rainfall regime: An analysis of extreme precipitation indices (2002–2021)

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Meteorological Applications Pub Date : 2023-12-21 DOI:10.1002/met.2168
Vincenzo Capozzi, Armando Rocco, Clizia Annella, Viviana Cretella, Giannetta Fusco, Giorgio Budillon
{"title":"Signals of change in the Campania region rainfall regime: An analysis of extreme precipitation indices (2002–2021)","authors":"Vincenzo Capozzi,&nbsp;Armando Rocco,&nbsp;Clizia Annella,&nbsp;Viviana Cretella,&nbsp;Giannetta Fusco,&nbsp;Giorgio Budillon","doi":"10.1002/met.2168","DOIUrl":null,"url":null,"abstract":"<p>It is widely known that precipitation is a key variable of the hydrological cycle that is strongly affected by recent climate changes. Therefore, there is a growing interest in research activities focused on alteration of rainfall regime, as it conditions the planning of countermeasures against flood and landslide hazards. The available literature about precipitation tendencies over Italian peninsula offers a limited number of studies about recent changes of extreme events and precipitation intensity. This work aims at adding a contribution to fill this research gap, investigating the changes in rainfall regime observed over the 2002–2021 period in the Campania region (southern Italy). To pursue this aim, a dataset including daily precipitation records collected at 107 stations was analysed both through 11 indices developed by the Expert Team on Climate Change Detection and Indices and through the Standardized Precipitation Index in order to detect signals of changes in extreme events and to assess tendencies towards drier or wetter conditions. The Theil-Sen method and the Mann–Kendall non-parametric test were employed to evaluate the trends and their statistical significance. The main results emerging from this work are (i) an increasing tendency in precipitation intensity and in the frequency of occurrence of heavy rainfall events in autumn, mainly in the northern part of the region and in the mountainous areas, (ii) an upward trend of the duration of the longest wet spell in the coastal areas and (iii) an increasing trend of dry spells in spring and in summer in the Gulf of Salerno.</p>","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"30 6","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/met.2168","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Meteorological Applications","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/met.2168","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

It is widely known that precipitation is a key variable of the hydrological cycle that is strongly affected by recent climate changes. Therefore, there is a growing interest in research activities focused on alteration of rainfall regime, as it conditions the planning of countermeasures against flood and landslide hazards. The available literature about precipitation tendencies over Italian peninsula offers a limited number of studies about recent changes of extreme events and precipitation intensity. This work aims at adding a contribution to fill this research gap, investigating the changes in rainfall regime observed over the 2002–2021 period in the Campania region (southern Italy). To pursue this aim, a dataset including daily precipitation records collected at 107 stations was analysed both through 11 indices developed by the Expert Team on Climate Change Detection and Indices and through the Standardized Precipitation Index in order to detect signals of changes in extreme events and to assess tendencies towards drier or wetter conditions. The Theil-Sen method and the Mann–Kendall non-parametric test were employed to evaluate the trends and their statistical significance. The main results emerging from this work are (i) an increasing tendency in precipitation intensity and in the frequency of occurrence of heavy rainfall events in autumn, mainly in the northern part of the region and in the mountainous areas, (ii) an upward trend of the duration of the longest wet spell in the coastal areas and (iii) an increasing trend of dry spells in spring and in summer in the Gulf of Salerno.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
坎帕尼亚地区降水机制的变化信号:极端降水指数分析(2002-2021 年)
众所周知,降水是水文循环的一个关键变量,受到近期气候变化的强烈影响。因此,人们越来越关注以降雨量变化为重点的研究活动,因为降雨量的变化是规划洪水和山体滑坡灾害应对措施的条件。关于意大利半岛降水趋势的现有文献中,有关近期极端事件和降水强度变化的研究数量有限。本研究旨在填补这一研究空白,调查 2002-2021 年间在坎帕尼亚大区(意大利南部)观察到的降水机制变化。为了实现这一目标,我们通过气候变化探测和指数专家组开发的 11 个指数以及标准化降水指数,对在 107 个站点收集的包括每日降水记录在内的数据集进行了分析,以探测极端事件的变化信号,并评估更干燥或更潮湿条件的趋势。采用 Theil-Sen 方法和 Mann-Kendall 非参数检验来评估趋势及其统计意义。这项工作得出的主要结果是:(i) 降水强度和秋季暴雨事件发生频率呈上升趋势,主要发生在该地区北部和山区;(ii) 沿海地区最长潮湿期呈上升趋势;(iii) 萨莱诺湾春季和夏季干旱期呈上升趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
期刊最新文献
Estimation of extreme wind speeds with different return periods in the Northwest Pacific Impact of INSAT-3D land surface temperature assimilation via simplified extended Kalman filter-based land data assimilation system on forecasting of surface fields over India Improving blended probability forecasts with neural networks Correction to “Skilful probabilistic medium-range precipitation and temperature forecasts over Vietnam for the development of a future dengue early warning system” Drought forecasting with regionalization of climate variables and generalized linear model
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1