Links between the Botswana High and drought modes over southern Africa

IF 3.5 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES International Journal of Climatology Pub Date : 2024-09-05 DOI:10.1002/joc.8608
Molulaqhooa L. Maoyi, Babatunde J. Abiodun
{"title":"Links between the Botswana High and drought modes over southern Africa","authors":"Molulaqhooa L. Maoyi,&nbsp;Babatunde J. Abiodun","doi":"10.1002/joc.8608","DOIUrl":null,"url":null,"abstract":"<p>Drought is one of the most devastating threats to the livelihoods of the southern African population, who mainly rely on rain-fed agriculture for income. Previous studies have highlighted that the Botswana High influences drought over the region; however, its influence on the spatial modes of drought remains unknown. This study examines the spatiotemporal structures of drought modes (DMs) over southern Africa and their link with the Botswana High in observation, reanalysis and Model for Prediction Across Scales (MPAS). To characterize droughts, the study uses the 3-month scale standardized precipitation index (SPI) and the standardized precipitation evapotranspiration index (SPEI). Spatiotemporal characteristics of the DMs are identified using empirical orthogonal function (EOF) analysis on SPI and SPEI. EOF analysis is also used to identify the spatiotemporal characteristics of the Botswana High. The relationship between each DM and the Botswana High is quantified using correlation and <i>R</i><sup>2</sup> analysis. In all the datasets (Climate Research Unit (CRU), European Centre for Medium-Range Weather Forecasts version 5 (ERA5), 20th Century reanalysis II (20C) and MPAS), the most dominant five DMs (hereafter DM1–DM5) over southern Africa jointly explain more than 60% of the interannual variability in the 3-month scale summer droughts for SPEI and SPI. CRU, ERA5 and MPAS agree that the Botswana High correlates with the interannual variability of DM1, with a stronger correlation in ERA5 (<i>r</i> = −0.85) compared to MPAS (<i>r</i> = −0.42) and CRU (<i>r</i> = −0.35). Additionally, wet years (+ve SPEI and SPI) are characterized by a weak Botswana High and drought years (−ve SPEI and SPI) by a strong Botswana High. The wet and dry years correspond to the −ve and +ve phases of El Niño–Southern Oscillation (ENSO), respectively. Given this, the results of this study suggest that the Botswana High might be a teleconnection pattern through which ENSO signals influence DM1 over the region.</p>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"44 13","pages":"4767-4791"},"PeriodicalIF":3.5000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joc.8608","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Climatology","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/joc.8608","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Drought is one of the most devastating threats to the livelihoods of the southern African population, who mainly rely on rain-fed agriculture for income. Previous studies have highlighted that the Botswana High influences drought over the region; however, its influence on the spatial modes of drought remains unknown. This study examines the spatiotemporal structures of drought modes (DMs) over southern Africa and their link with the Botswana High in observation, reanalysis and Model for Prediction Across Scales (MPAS). To characterize droughts, the study uses the 3-month scale standardized precipitation index (SPI) and the standardized precipitation evapotranspiration index (SPEI). Spatiotemporal characteristics of the DMs are identified using empirical orthogonal function (EOF) analysis on SPI and SPEI. EOF analysis is also used to identify the spatiotemporal characteristics of the Botswana High. The relationship between each DM and the Botswana High is quantified using correlation and R2 analysis. In all the datasets (Climate Research Unit (CRU), European Centre for Medium-Range Weather Forecasts version 5 (ERA5), 20th Century reanalysis II (20C) and MPAS), the most dominant five DMs (hereafter DM1–DM5) over southern Africa jointly explain more than 60% of the interannual variability in the 3-month scale summer droughts for SPEI and SPI. CRU, ERA5 and MPAS agree that the Botswana High correlates with the interannual variability of DM1, with a stronger correlation in ERA5 (r = −0.85) compared to MPAS (r = −0.42) and CRU (r = −0.35). Additionally, wet years (+ve SPEI and SPI) are characterized by a weak Botswana High and drought years (−ve SPEI and SPI) by a strong Botswana High. The wet and dry years correspond to the −ve and +ve phases of El Niño–Southern Oscillation (ENSO), respectively. Given this, the results of this study suggest that the Botswana High might be a teleconnection pattern through which ENSO signals influence DM1 over the region.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
博茨瓦纳高原与南部非洲干旱模式之间的联系
干旱是对南部非洲人口生计最具破坏性的威胁之一,他们的收入主要依靠雨水灌溉的农业。以往的研究表明,博茨瓦纳高原对该地区的干旱有影响,但其对干旱空间模式的影响仍不为人知。本研究探讨了南部非洲干旱模式(DMs)的时空结构及其与观测、再分析和跨尺度预报模式(MPAS)中博茨瓦纳高纬度的联系。为了描述干旱的特征,该研究使用了 3 个月尺度的标准化降水指数(SPI)和标准化降水蒸散指数(SPEI)。通过对 SPI 和 SPEI 进行经验正交函数 (EOF) 分析,确定了 DM 的时空特征。EOF 分析还用于确定博茨瓦纳高原的时空特征。利用相关性和 R2 分析量化了每个 DM 与博茨瓦纳高纬度之间的关系。在所有数据集(气候研究单位(CRU)、欧洲中期天气预报中心第 5 版(ERA5)、20 世纪再分析 II(20C)和 MPAS)中,南部非洲上空最主要的五个 DM(以下简称 DM1-DM5)共同解释了 SPEI 和 SPI 3 个月尺度夏季干旱年际变化的 60% 以上。CRU、ERA5 和 MPAS 一致认为,博茨瓦纳高纬度与 DM1 的年际变化相关,与 MPAS(r = -0.42)和 CRU(r = -0.35)相比,ERA5 的相关性更强(r = -0.85)。此外,潮湿年份(SPEI 和 SPI 均为+ve)的特点是博茨瓦纳高点较弱,而干旱年份(SPEI 和 SPI 均为-ve)的特点是博茨瓦纳高点较强。湿年和旱年分别与厄尔尼诺-南方涛动(ENSO)的-ve 和 +ve 阶段相对应。有鉴于此,本研究结果表明,博茨瓦纳高点可能是一种远程连接模式,厄尔尼诺/南方涛动信号通过它影响该地区的 DM1。
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 去求助
来源期刊
International Journal of Climatology
International Journal of Climatology 地学-气象与大气科学
CiteScore
7.50
自引率
7.70%
发文量
417
审稿时长
4 months
期刊介绍: The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions
期刊最新文献
Issue Information Issue Information Time Series Clustering of Sea Surface Temperature in the Mediterranean and Black Sea Marine System An Elevated Influence of the Low-Latitude Drivers on the East Asian Winter Monsoon After Around 1990 Improvement in the Low Temperature Prediction Skill During Cold Winters Over the Mid–High Latitudes of Eurasia in CFSv2
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1