Impact of ENSO on extreme precipitation in Southwest Asia

The El Niño-Southern Oscillation (ENSO) is a primary driver of interannual variability in extreme precipitation in many regions worldwide. Understanding the relationship between ENSO and extreme precipitation is crucial, as it has implications for understanding the interannual variability of flood risk. We investigated the frequency of extreme daily precipitation in Southwest Asia across different seasons during El Niño and La Niña using the daily GPCP and ERA5 precipitation datasets for the period 1997–2022. Extreme precipitation at each grid point is defined as daily accumulated precipitation exceeding the 95th percentile on wet days, where a wet day is defined as one with at least 0.1 mm rainfall. El Niño is associated with an overall increase in the frequency of extreme precipitation in Southwest Asia during autumn, winter, and spring, whereas La Niña shows the opposite effect. To explore the dynamics of El Niño and La Niña teleconnections to Southwest Asia, we applied a feature tracking method on the ERA5 relative velocity at 850 hPa in different seasons. Overall, the storm track density and the mean intensity of storms increase in Southwest Asia during El Niño and decrease during La Niña in autumn, winter, and spring. In summer, El Niño favors less frequent extreme precipitation in the southern parts of Southwest Asia, where the tropical summer monsoon circulation is dominated, while La Niña is associated with more frequent extreme precipitation in this region. This pattern is expected, as the monsoon circulation is weaker during El Niño and stronger during La Niña. In line with this, we identified a decrease in the mean intensity of storms in the southern parts of Southwest Asia during El Niño, with the opposite occurring during La Niña. Our findings have important implications for understanding interannual variability of extreme precipitation in Southwest Asia and providing a framework for predicting such events. • El Niño increases extreme precipitation in Southwest Asia during autumn, winter, and spring; La Niña has the opposite effect. • Storm track density and intensity rise during El Niño, decreasing during La Niña in Southwest Asia in autumn, winter, and spring. • El Niño reduces, while La Niña increases, extreme precipitation in the southern regions of Southwest Asia during summer. • Storm intensity in the southern regions of Southwest Asia decreases during El Niño, while it increases during La Niña.

Authors

Institutions

Publication Details

Journal
Global and Planetary Change
Published
2024-11-22
DOI
https://doi.org/10.1016/j.gloplacha.2024.104645
Citations
13
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
3.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of ENSO on extreme precipitation in Southwest Asia

Omid Alizadeh, Morteza Mousavizadeh
13 citations
Global and Planetary Change
Climate variability and models
3.67
article

Impact of ENSO on extreme precipitation in Southwest Asia

Omid Alizadeh, Morteza Mousavizadeh
article en
13 citations

Abstract

The El Niño-Southern Oscillation (ENSO) is a primary driver of interannual variability in extreme precipitation in many regions worldwide. Understanding the relationship between ENSO and extreme precipitation is crucial, as it has implications for understanding the interannual variability of flood risk. We investigated the frequency of extreme daily precipitation in Southwest Asia across different seasons during El Niño and La Niña using the daily GPCP and ERA5 precipitation datasets for the period 1997–2022. Extreme precipitation at each grid point is defined as daily accumulated precipitation exceeding the 95th percentile on wet days, where a wet day is defined as one with at least 0.1 mm rainfall. El Niño is associated with an overall increase in the frequency of extreme precipitation in Southwest Asia during autumn, winter, and spring, whereas La Niña shows the opposite effect. To explore the dynamics of El Niño and La Niña teleconnections to Southwest Asia, we applied a feature tracking method on the ERA5 relative velocity at 850 hPa in different seasons. Overall, the storm track density and the mean intensity of storms increase in Southwest Asia during El Niño and decrease during La Niña in autumn, winter, and spring. In summer, El Niño favors less frequent extreme precipitation in the southern parts of Southwest Asia, where the tropical summer monsoon circulation is dominated, while La Niña is associated with more frequent extreme precipitation in this region. This pattern is expected, as the monsoon circulation is weaker during El Niño and stronger during La Niña. In line with this, we identified a decrease in the mean intensity of storms in the southern parts of Southwest Asia during El Niño, with the opposite occurring during La Niña. Our findings have important implications for understanding interannual variability of extreme precipitation in Southwest Asia and providing a framework for predicting such events. • El Niño increases extreme precipitation in Southwest Asia during autumn, winter, and spring; La Niña has the opposite effect. • Storm track density and intensity rise during El Niño, decreasing during La Niña in Southwest Asia in autumn, winter, and spring. • El Niño reduces, while La Niña increases, extreme precipitation in the southern regions of Southwest Asia during summer. • Storm intensity in the southern regions of Southwest Asia decreases during El Niño, while it increases during La Niña.

Global and Planetary ChangeVol. 244
University of Tehran (IR), Humboldt-Universität zu Berlin (DE)
Climate action
Openalex Percentile: Top 6%
Climate variability and models
3.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.