Australian Rainfall Increases During Multi‐Year La Niña

Author:

Huang Ashley T.12,Gillett Zoe E.13ORCID,Taschetto Andréa S.13ORCID

Affiliation:

1. ARC Centre of Excellence for Climate Extremes University of New South Wales Sydney NSW Australia

2. Research School of Earth Sciences Australian National University Canberra ACT Australia

3. Climate Change Research Centre University of New South Wales Sydney NSW Australia

Abstract

AbstractAustralia is one of the regions strongly affected by the El Niño‐Southern Oscillation (ENSO). The recent 2020–2023 La Niña event was marked by record‐breaking rainfall and flooding across eastern Australia. The continuous wet conditions during the triple La Niña motivated us to explore the impacts of single‐year and multi‐year ENSO events on Australian rainfall using observational data sets. We find that, while there is no difference in the rainfall impacts during single or double El Niño events, Australian rainfall tends to increase in the third year of triple La Niña events compared to the first and second years. The enhanced rainfall impact during the third La Niña year occurs despite no strengthening of La Niña in the tropical Pacific, suggesting that other processes such as local rainfall‐soil moisture feedback may play a role in prolonging the effects of multi‐year La Niña events in Australia.

Publisher

American Geophysical Union (AGU)

Reference40 articles.

1. Placing the AD 2014–2016 ‘protracted’ El Niño episode into a long-term context

2. Ashleyht. (2024).Ashleyht/Australian_rainfall_multiyear_La_Nina: V1.0.0 (v1.0)[Software].Zenodo.https://doi.org/10.5281/zenodo.10650812

3. Australian Bureau of Meteorology. (2012).Record‐breaking La Niña events. Retrieved fromhttp://www.bom.gov.au/climate/enso/history/La‐Nina‐2010‐12.pdf

4. Australian Bureau of Meteorology. (2019).Australian gridded climate data (AGCD)/AWAP; v1.0.0 snapshot (1900‐01‐01 to 2018‐12‐31)[Dataset].Australian Bureau of Meteorology.https://doi.org/10.4227/166/5a8647d1c23e0

5. Australian Bureau of Meteorology. (2023).Australian Landscape Water Balance [ALWB] simulated data ‐ Soil moisture (1911 onwards)[Dataset].Australian Bureau of Meteorology. Retrieved fromhttp://www.bom.gov.au/metadata/19115/ANZCW0503900503

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3