Evaluating satellite-based precipitation products for spatiotemporal drought analysis

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Hussain Masood Khan, Muhammad Fahim Aslam, Muhammad Waseem, Hafiz Kamran Jalil Abbasi, Ali Iftikhar, Faraz Ul Haq
{"title":"Evaluating satellite-based precipitation products for spatiotemporal drought analysis","authors":"Hussain Masood Khan, Muhammad Fahim Aslam, Muhammad Waseem, Hafiz Kamran Jalil Abbasi, Ali Iftikhar, Faraz Ul Haq","doi":"10.1016/j.jaridenv.2024.105225","DOIUrl":null,"url":null,"abstract":"A region's ecosystem, economics, and agriculture are severely harmed by drought. This study investigates meteorological droughts and their assessment through drought indices. We compared the suitability of satellite precipitation data from GPM-IMERG and TRMM with ground-based observations from 17 locations. To assess the severity and to identify the best index for the spatiotemporal analysis of the drought we employed two indices: the Standard Precipitation Index (SPI) and a new satellite-based index the Drought Exceedance Probability Index (DEPI). A thorough analysis of the dry periods identified by DEPI was carried out and later compared with two established metrics for analyzing rainfall patterns: the persistence of monthly rainfall and the correlation of monthly rainfall patterns with one-month auto lag. Evaluation and robust statistical analysis (R, r, RMSE & RSR) were performed for quantitative measure of drought indices performances. Additionally, an assessment of the regularity of drought episodes recorded using the DEPI and SPI reveals a considerable difference in terms of regular dry and mild wet occurrences. Following IMERG-GPM and gauge data comparison analysis between DEPI and SPI, DEPI offered superior agreement with gauge data. The outcomes of this analysis offer valuable insights for selecting the best satellite product for spatiotemporal drought analysis.","PeriodicalId":51080,"journal":{"name":"Journal of Arid Environments","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Arid Environments","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.jaridenv.2024.105225","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

A region's ecosystem, economics, and agriculture are severely harmed by drought. This study investigates meteorological droughts and their assessment through drought indices. We compared the suitability of satellite precipitation data from GPM-IMERG and TRMM with ground-based observations from 17 locations. To assess the severity and to identify the best index for the spatiotemporal analysis of the drought we employed two indices: the Standard Precipitation Index (SPI) and a new satellite-based index the Drought Exceedance Probability Index (DEPI). A thorough analysis of the dry periods identified by DEPI was carried out and later compared with two established metrics for analyzing rainfall patterns: the persistence of monthly rainfall and the correlation of monthly rainfall patterns with one-month auto lag. Evaluation and robust statistical analysis (R, r, RMSE & RSR) were performed for quantitative measure of drought indices performances. Additionally, an assessment of the regularity of drought episodes recorded using the DEPI and SPI reveals a considerable difference in terms of regular dry and mild wet occurrences. Following IMERG-GPM and gauge data comparison analysis between DEPI and SPI, DEPI offered superior agreement with gauge data. The outcomes of this analysis offer valuable insights for selecting the best satellite product for spatiotemporal drought analysis.
评估用于时空干旱分析的卫星降水产品
干旱会严重损害一个地区的生态系统、经济和农业。本研究调查了气象干旱及其通过干旱指数进行的评估。我们比较了来自 GPM-IMERG 和 TRMM 的卫星降水数据与来自 17 个地点的地面观测数据的适用性。为了评估干旱的严重程度并确定用于干旱时空分析的最佳指数,我们采用了两种指数:标准降水指数(SPI)和一种基于卫星的新指数--干旱超常概率指数(DEPI)。我们对 DEPI 确定的干旱期进行了全面分析,随后将其与分析降雨模式的两个既定指标进行了比较:月降雨量的持续性和月降雨模式与一个月自动滞后的相关性。评估和稳健统计分析(R、r、RMSE 和 RSR)用于定量衡量干旱指数的表现。此外,使用 DEPI 和 SPI 对记录的干旱事件的规律性进行评估后发现,在规律性干旱和轻微潮湿发生方面存在相当大的差异。在对 DEPI 和 SPI 进行 IMERG-GPM 和测量数据对比分析后,DEPI 与测量数据的一致性更高。分析结果为选择最佳卫星产品进行时空干旱分析提供了宝贵的见解。
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
Journal of Arid Environments
Journal of Arid Environments 环境科学-环境科学
CiteScore
5.70
自引率
3.70%
发文量
144
审稿时长
55 days
期刊介绍: The Journal of Arid Environments is an international journal publishing original scientific and technical research articles on physical, biological and cultural aspects of arid, semi-arid, and desert environments. As a forum of multi-disciplinary and interdisciplinary dialogue it addresses research on all aspects of arid environments and their past, present and future use.
文献相关原料
公司名称 产品信息 采购帮参考价格
×
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:481959085
Book学术官方微信