A global drought monitoring system and dataset based on ERA5 reanalysis: A focus on crop-growing regions

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Sergio M. Vicente-Serrano, Fernando Domínguez-Castro, Fergus Reig, Miquel Tomas-Burguera, Dhais Peña-Angulo, Borja Latorre, Santiago Beguería, Isabel Rabanaque, Ivan Noguera, Jorge Lorenzo-Lacruz, Ahmed El Kenawy
{"title":"A global drought monitoring system and dataset based on ERA5 reanalysis: A focus on crop-growing regions","authors":"Sergio M. Vicente-Serrano,&nbsp;Fernando Domínguez-Castro,&nbsp;Fergus Reig,&nbsp;Miquel Tomas-Burguera,&nbsp;Dhais Peña-Angulo,&nbsp;Borja Latorre,&nbsp;Santiago Beguería,&nbsp;Isabel Rabanaque,&nbsp;Ivan Noguera,&nbsp;Jorge Lorenzo-Lacruz,&nbsp;Ahmed El Kenawy","doi":"10.1002/gdj3.178","DOIUrl":null,"url":null,"abstract":"<p>Drought monitoring systems are real-time information systems focused on drought severity data. They are useful for determining the drought onset and development and defining the spatial extent of drought at any time. Effective drought monitoring requires databases with high spatial and temporal resolution and large spatial and temporal coverage. Recent reanalysis datasets meet these requirements and offer an excellent alternative to observational data. In addition, reanalysis data allow better quantification of some variables that affect drought severity and are more seldom observed. This study presents a global drought dataset and a monitoring system based on the Standardized Precipitation Evapotranspiration Index (SPEI) and ERA5 reanalysis data. Computation of the atmospheric evaporative demand for the SPEI follows the FAO-56 Penman-Monteith equation. The system is updated weekly, providing near real-time information at a 0.5° spatial resolution and global coverage. It also contains a historical dataset with the values of the SPEI at different time scales since January 1979. The drought monitoring system includes the assessment of drought severity for dominant crop-growing areas. A comparison between SPEI computed from the ERA5 and CRU datasets shows generally good spatial and temporal agreement, albeit with some important differences originating mainly from the different spatial patterns of SPEI anomalies, as well as from employing long-term climate trends for different regions worldwide. The results show that the ERA5 dataset offers robust results and supports its use for drought monitoring. The new system and dataset are publicly available at the link https://global-drought-crops.csic.es/.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.178","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Data Journal","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/gdj3.178","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 10

Abstract

Drought monitoring systems are real-time information systems focused on drought severity data. They are useful for determining the drought onset and development and defining the spatial extent of drought at any time. Effective drought monitoring requires databases with high spatial and temporal resolution and large spatial and temporal coverage. Recent reanalysis datasets meet these requirements and offer an excellent alternative to observational data. In addition, reanalysis data allow better quantification of some variables that affect drought severity and are more seldom observed. This study presents a global drought dataset and a monitoring system based on the Standardized Precipitation Evapotranspiration Index (SPEI) and ERA5 reanalysis data. Computation of the atmospheric evaporative demand for the SPEI follows the FAO-56 Penman-Monteith equation. The system is updated weekly, providing near real-time information at a 0.5° spatial resolution and global coverage. It also contains a historical dataset with the values of the SPEI at different time scales since January 1979. The drought monitoring system includes the assessment of drought severity for dominant crop-growing areas. A comparison between SPEI computed from the ERA5 and CRU datasets shows generally good spatial and temporal agreement, albeit with some important differences originating mainly from the different spatial patterns of SPEI anomalies, as well as from employing long-term climate trends for different regions worldwide. The results show that the ERA5 dataset offers robust results and supports its use for drought monitoring. The new system and dataset are publicly available at the link https://global-drought-crops.csic.es/.

Abstract Image

基于ERA5再分析的全球干旱监测系统和数据集:关注作物种植区
干旱监测系统是以干旱严重程度数据为重点的实时信息系统。它们有助于确定干旱的发生和发展,并在任何时候确定干旱的空间范围。有效的干旱监测需要具有高空间和时间分辨率以及大空间和时间覆盖率的数据库。最近的再分析数据集满足了这些要求,并为观测数据提供了一个极好的替代方案。此外,再分析数据可以更好地量化影响干旱严重程度的一些变量,这些变量很少被观测到。本研究提供了一个基于标准化降水蒸发蒸腾指数(SPEI)和ERA5再分析数据的全球干旱数据集和监测系统。SPEI的大气蒸发需求计算遵循FAO‐56 Penman-Monteith方程。该系统每周更新一次,以0.5°的空间分辨率和全球覆盖范围提供近乎实时的信息。它还包含一个历史数据集,其中包含自1979年1月以来不同时间尺度的SPEI值。干旱监测系统包括对主要作物种植区干旱严重程度的评估。ERA5和CRU数据集计算的SPEI之间的比较显示出总体上良好的空间和时间一致性,尽管一些重要差异主要源于SPEI异常的不同空间模式,以及全球不同地区的长期气候趋势。结果表明,ERA5数据集提供了稳健的结果,并支持其用于干旱监测。新系统和数据集可在链接上公开获取https://global干旱作物。csic.es/。
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
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
×
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