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DOI | 10.3390/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 |
EISSN | 2306-5338 |
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). |
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