CCPortal
DOI10.3390/hydrology11010007
Analysis of Anomalies Due to the ENSO and Long-Term Changes in Extreme Precipitation Indices Using Data from Ground Stations
发表日期2024
EISSN2306-5338
起始页码11
结束页码1
卷号11期号:1
英文摘要In this work, the influence of the El Nino Southern Oscillation (ENSO) on the Extreme Precipitation Indices (EPIs) was analyzed, and these ENSO-forced anomalies were compared with the long-term change in the EPIs. The annual time series of the EPIs were built from 880 precipitation stations that contained daily records between 1979 and 2022. These daily time series were filled, then the eleven (11) annual time series of the EPIs were built. To calculate ENSO-driven anomalies, the several phases of the phenomenon were considered (i.e., warm phase or El Nino years, cold phase or La Nina years, and normal or neutral years). For a particular EPI, the values calculated for the extreme phases of the ENSO were grouped, and these groups were compared with the group made up of the EPI values for the neutral years. To calculate the long-term change, two periods (1979-1996 and 2004-2021) were considered to group the EPI values. Maps showing the magnitude and significance of the assessed change/anomaly were constructed. The results allowed us to identify that the EPIs are generally wetter (i.e., higher extreme precipitation, longer wet periods, shorter dry periods, etc.) during La Nina hydrological years, while the opposite changes are observed during El Nino years. Furthermore, ENSO-induced anomalies are more important than the long-term changes.
英文关键词long-term change; climate change; climate variability; Colombia; ENSO; extreme precipitation indices
语种英语
WOS研究方向Water Resources
WOS类目Water Resources
WOS记录号WOS:001149060300001
来源期刊HYDROLOGY
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/297819
作者单位Pontificia Universidad Javeriana
推荐引用方式
GB/T 7714
. Analysis of Anomalies Due to the ENSO and Long-Term Changes in Extreme Precipitation Indices Using Data from Ground Stations[J],2024,11(1).
APA (2024).Analysis of Anomalies Due to the ENSO and Long-Term Changes in Extreme Precipitation Indices Using Data from Ground Stations.HYDROLOGY,11(1).
MLA "Analysis of Anomalies Due to the ENSO and Long-Term Changes in Extreme Precipitation Indices Using Data from Ground Stations".HYDROLOGY 11.1(2024).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
百度学术
百度学术中相似的文章
必应学术
必应学术中相似的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。