Drought monitoring using the Climate Hazards InfraRed Precipitation with Stations (CHIRPS) in Ethiopia

Birhan Getachew Tikuye , Ram L. Ray , Busnur Manjunatha , Gebrekidan Worku Tefera , Sanjita Gurau
{"title":"Drought monitoring using the Climate Hazards InfraRed Precipitation with Stations (CHIRPS) in Ethiopia","authors":"Birhan Getachew Tikuye ,&nbsp;Ram L. Ray ,&nbsp;Busnur Manjunatha ,&nbsp;Gebrekidan Worku Tefera ,&nbsp;Sanjita Gurau","doi":"10.1016/j.nhres.2024.12.002","DOIUrl":null,"url":null,"abstract":"<div><div>Ethiopia has experienced numerous natural disasters, with 110 documented events that include floods, disease outbreaks, droughts, landslides, pest infestations, volcanic eruptions, earthquakes, mass movements, and wildfires over the past 58 years. Among these, drought occurrences are characterized by various factors such as duration, inter-arrival time, peak intensity, frequency, and severity. This study aims to monitor drought patterns in Ethiopia using the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS-v2) satellite rainfall product. A 3 and 12-month timescale Standardized Precipitation Index (SPI) based on a gamma distribution was calculated to evaluate inter-arrival time, peak intensity, frequency, severity, and trends from 1981 to 2021. The performance of CHIRPS data was evaluated compared to gauging stations using the coefficient of determination (R<sup>2</sup>), root means square error (RMSE), and mean absolute error (MAE) and showed a good agreement was reached. Results reveal an increasing trend in drought across all seasons, including winter, spring, summer, and autumn. However, statistical analysis via the Mann-Kendall trend test indicates that these upward trends are not statistically significant, with computed p-values (0.335, 0.419, 0.384, and 0.207) exceeding the significance level of α ​= ​0.05. Temporal variations in drought indices reveal that certain years, such as 1984, 2010, and 2016, were among the driest periods in Ethiopia, both in terms of annual and seasonal drought severity. In contrast, 1998, 2007, and 2020 were identified as the wettest years and seasons in the country. The SPI-12 monthly index drought characterization shows an average of 4 drought events per year, with a maximum drought duration of 45 months, a maximum magnitude of 80, a frequency of 18%, and a severity of 2.6. The findings highlight the significance of advanced satellite data in accurately characterizing drought conditions, vital for strengthening the country's capacity to adapt to climate variability. By incorporating these insights into national planning and resource management frameworks, Ethiopia can enhance its ability to protect ecosystems, ensure food security, and maintain overall socio-economic stability in the face of the growing threat of drought.</div></div>","PeriodicalId":100943,"journal":{"name":"Natural Hazards Research","volume":"5 2","pages":"Pages 348-362"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666592124000945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Ethiopia has experienced numerous natural disasters, with 110 documented events that include floods, disease outbreaks, droughts, landslides, pest infestations, volcanic eruptions, earthquakes, mass movements, and wildfires over the past 58 years. Among these, drought occurrences are characterized by various factors such as duration, inter-arrival time, peak intensity, frequency, and severity. This study aims to monitor drought patterns in Ethiopia using the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS-v2) satellite rainfall product. A 3 and 12-month timescale Standardized Precipitation Index (SPI) based on a gamma distribution was calculated to evaluate inter-arrival time, peak intensity, frequency, severity, and trends from 1981 to 2021. The performance of CHIRPS data was evaluated compared to gauging stations using the coefficient of determination (R2), root means square error (RMSE), and mean absolute error (MAE) and showed a good agreement was reached. Results reveal an increasing trend in drought across all seasons, including winter, spring, summer, and autumn. However, statistical analysis via the Mann-Kendall trend test indicates that these upward trends are not statistically significant, with computed p-values (0.335, 0.419, 0.384, and 0.207) exceeding the significance level of α ​= ​0.05. Temporal variations in drought indices reveal that certain years, such as 1984, 2010, and 2016, were among the driest periods in Ethiopia, both in terms of annual and seasonal drought severity. In contrast, 1998, 2007, and 2020 were identified as the wettest years and seasons in the country. The SPI-12 monthly index drought characterization shows an average of 4 drought events per year, with a maximum drought duration of 45 months, a maximum magnitude of 80, a frequency of 18%, and a severity of 2.6. The findings highlight the significance of advanced satellite data in accurately characterizing drought conditions, vital for strengthening the country's capacity to adapt to climate variability. By incorporating these insights into national planning and resource management frameworks, Ethiopia can enhance its ability to protect ecosystems, ensure food security, and maintain overall socio-economic stability in the face of the growing threat of drought.
利用气候灾害红外降水站(CHIRPS)在埃塞俄比亚进行干旱监测
埃塞俄比亚经历了许多自然灾害,在过去58年里,记录在案的自然灾害有110起,包括洪水、疾病爆发、干旱、山体滑坡、虫害、火山爆发、地震、群众迁徙和野火。其中,干旱的发生受持续时间、间隔时间、峰值强度、频率和严重程度等因素的影响。本研究旨在利用气候灾害组织红外降水站(CHIRPS-v2)卫星降雨产品监测埃塞俄比亚的干旱模式。计算了基于伽玛分布的3个月和12个月时间尺度的标准化降水指数(SPI),以评估1981 - 2021年的到达间隔时间、峰值强度、频率、严重程度和趋势。利用决定系数(R2)、均方根误差(RMSE)和平均绝对误差(MAE)对CHIRPS数据的性能与测量站的性能进行了比较,结果表明两者具有很好的一致性。结果表明,在冬、春、夏、秋4个季节,干旱均呈增加趋势。然而,通过Mann-Kendall趋势检验的统计分析表明,这些上升趋势没有统计学意义,计算的p值(0.335,0.419,0.384和0.207)超过了α = 0.05的显著性水平。干旱指数的时间变化表明,在年度和季节性干旱严重程度方面,1984年、2010年和2016年等年份是埃塞俄比亚最干旱的时期。相比之下,1998年、2007年和2020年被确定为该国最潮湿的年份和季节。SPI-12月指数干旱特征显示,平均每年发生4次干旱事件,最大干旱持续时间为45个月,最大震级为80,频率为18%,严重程度为2.6。这些发现强调了先进卫星数据在准确描述干旱条件方面的重要性,这对于加强该国适应气候变化的能力至关重要。通过将这些见解纳入国家规划和资源管理框架,埃塞俄比亚可以增强其保护生态系统、确保粮食安全的能力,并在面临日益严重的干旱威胁时保持整体社会经济稳定。
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 求助全文
来源期刊
CiteScore
4.10
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信