A global analysis of the asymmetric effect of ENSO on extreme precipitation

作者：Sun Xun^*; Renard Benjamin; Thyer Mark; Westra Seth; Lang Michel

来源：Journal of Hydrology, 2015, 530: 51-65.

DOI：10.1016/j.jhydrol.2015.09.016

• ENSO
• Asymmetric relationship
• Extreme precipitation
• Bayesian regional modeling
• GEV distribution
• Climate-informed model

The global and regional influence of the El Nino-Southern Oscillation (ENSO) phenomenon on extreme precipitation was analyzed using a global database comprising over 7000 high quality observation sites. To better quantify possible changes in relatively rare design-relevant precipitation quantiles (e.g. the 1 in 10 year event), a Bayesian regional extreme value model was used, which employed the Southern Oscillation Index (SOI) - a measure of ENSO - as a covariate. Regions found to be influenced by ENSO include parts of North and South America, southern and eastern Asia, South Africa, Australia and Europe. The season experiencing the greatest ENSO effect varies regionally, but in most of the ENSO-affected regions the strongest effect happens in boreal winter, during which time the 10-year precipitation for vertical bar SOI vertical bar = 20 (corresponding to either a strong El Nino or La Nina episode) can be up to 50% higher or lower than for SOI = 0 (a neutral phase). Importantly, the effect of ENSO on extreme precipitation is asymmetric, with most parts of the world experiencing a significant effect only for a single ENSO phase. This finding has important implications on the current understanding of how ENSO influences extreme precipitation, and will enable a more rigorous theoretical foundation for providing quantitative extreme precipitation intensity predictions at seasonal timescales. We anticipate that incorporating asymmetric impacts of ENSO on extreme precipitation will help lead to better-informed climate-adaptive design of flood-sensitive infrastructure.

• 出版日期2015-11