Investigating the strength and variability of El Niño Southern Oscillation teleconnections to hydroclimate and maize yields in southern and East Africa

IF 3.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Benjamin I Cook, Weston Anderson, K. Slinski, S. Shukla, Amy McNally
{"title":"Investigating the strength and variability of El Niño Southern Oscillation teleconnections to hydroclimate and maize yields in southern and East Africa","authors":"Benjamin I Cook, Weston Anderson, K. Slinski, S. Shukla, Amy McNally","doi":"10.1175/jhm-d-23-0098.1","DOIUrl":null,"url":null,"abstract":"The state of the El Niño Southern Oscillation (ENSO) is critical for seasonal climate forecasts, but recent events diverged substantially from expectations in many regions, including Sub-Saharan Africa where seasonal forecasts are critical tools for addressing food security. Here, we evaluate 39 years (1982–2020) of data on hydroclimate, leaf area index, and maize yields to investigate the strength of ENSO teleconnections in southern and East Africa. Teleconnections to precipitation, soil moisture, and leaf area index are generally stronger during ENSO phases that cause drought conditions (El Niño in southern Africa and La Niña in East Africa), with seasonality that aligns well with the maize growing seasons. Within maize growing areas, however, ENSO teleconnections to hydroclimate and vegetation are generally weaker compared to the broader geographic regions, especially in East Africa. There is also little evidence that the magnitude of the ENSO event affects the hydroclimate or vegetation response in these maize regions. Maize yields in Kenya, Malawi, South Africa, and Zimbabwe all correlate significantly with hydroclimate and leaf area index, with South Africa and Zimbabwe showing the strongest and most consistent yield responses to ENSO events. Our results highlight the chain of causality from El Niño and La Niña forcing of regional anomalies in hydroclimate to vegetation health and maize yields in southern and East Africa. The large spread across individual ENSO events, however, underscores the limitations of this climate mode for seasonal climate prediction in the region, and the importance of finding additional sources of skill for improving climate and yield forecasts.","PeriodicalId":15962,"journal":{"name":"Journal of Hydrometeorology","volume":"7 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrometeorology","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1175/jhm-d-23-0098.1","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

The state of the El Niño Southern Oscillation (ENSO) is critical for seasonal climate forecasts, but recent events diverged substantially from expectations in many regions, including Sub-Saharan Africa where seasonal forecasts are critical tools for addressing food security. Here, we evaluate 39 years (1982–2020) of data on hydroclimate, leaf area index, and maize yields to investigate the strength of ENSO teleconnections in southern and East Africa. Teleconnections to precipitation, soil moisture, and leaf area index are generally stronger during ENSO phases that cause drought conditions (El Niño in southern Africa and La Niña in East Africa), with seasonality that aligns well with the maize growing seasons. Within maize growing areas, however, ENSO teleconnections to hydroclimate and vegetation are generally weaker compared to the broader geographic regions, especially in East Africa. There is also little evidence that the magnitude of the ENSO event affects the hydroclimate or vegetation response in these maize regions. Maize yields in Kenya, Malawi, South Africa, and Zimbabwe all correlate significantly with hydroclimate and leaf area index, with South Africa and Zimbabwe showing the strongest and most consistent yield responses to ENSO events. Our results highlight the chain of causality from El Niño and La Niña forcing of regional anomalies in hydroclimate to vegetation health and maize yields in southern and East Africa. The large spread across individual ENSO events, however, underscores the limitations of this climate mode for seasonal climate prediction in the region, and the importance of finding additional sources of skill for improving climate and yield forecasts.
调查厄尔尼诺南方涛动与南部非洲和东非水文气候和玉米产量之间远程联系的强度和变异性
厄尔尼诺南方涛动(ENSO)的状态对季节性气候预测至关重要,但最近许多地区的厄尔尼诺南方涛动大大偏离了预期,包括撒哈拉以南非洲地区,而季节性预测是解决粮食安全问题的重要工具。在此,我们评估了 39 年(1982-2020 年)的水文气候、叶面积指数和玉米产量数据,以研究南部和东部非洲厄尔尼诺/南方涛动远缘关系的强度。在导致干旱的厄尔尼诺/南方涛动阶段(南部非洲的厄尔尼诺现象和东非的拉尼娜现象),降水、土壤水分和叶面积指数的远缘关系通常较强,其季节性与玉米生长季节非常吻合。然而,在玉米种植区内,厄尔尼诺/南方涛动与水文气候和植被的远缘关系通常弱于更广泛的地理区域,尤其是在东非。也几乎没有证据表明厄尔尼诺/南方涛动事件的规模会影响这些玉米产区的水文气候或植被响应。肯尼亚、马拉维、南非和津巴布韦的玉米产量都与水文气候和叶面积指数有显著相关性,其中南非和津巴布韦的玉米产量对厄尔尼诺/南方涛动事件的反应最为强烈和一致。我们的研究结果凸显了从厄尔尼诺和拉尼娜对区域水文气候异常的影响到南部和东部非洲植被健康和玉米产量的因果关系链。然而,个别厄尔尼诺/南方涛动事件之间的巨大差异凸显了这种气候模式对该地区季节性气候预测的局限性,以及寻找其他技能来源以改善气候和产量预测的重要性。
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 Hydrometeorology
Journal of Hydrometeorology 地学-气象与大气科学
CiteScore
7.40
自引率
5.30%
发文量
116
审稿时长
4-8 weeks
期刊介绍: The Journal of Hydrometeorology (JHM) (ISSN: 1525-755X; eISSN: 1525-7541) publishes research on modeling, observing, and forecasting processes related to fluxes and storage of water and energy, including interactions with the boundary layer and lower atmosphere, and processes related to precipitation, radiation, and other meteorological inputs.
×
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