How Does Pacific Decadal Oscillation Modulate Extreme Heavy Rainfall Frequency Over Far East Asia?

Abstract We investigated the relationship between heavy rainfall events (HREs) and the Pacific Decadal Oscillation (PDO) occurring in Korea over Far East Asia for 40 years (1981–2020). Using K‐means clustering on the low‐level jet, we identified four clusters (C1–C4), with C1 being characterized by weaker synoptic conditions. Out of the four clusters, C1 represented localized extreme HREs compared with the other clusters. Interestingly, only the HRE frequency of C1 was found to have a strong negative correlation with PDO. During the negative‐PDO, sea surface temperature increased above 30°N, which decreased the meridional temperature gradient. This weakened the atmospheric circulation and created thermodynamic instability (i.e., weakened upper jet, increased low‐level temperature, higher atmospheric water capacity), creating a favorable environment for HRE in C1. However, this negative‐PDO environment provided somewhat unfavorable conditions for other clusters (C2–C4), so the PDO impact was insignificant.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-02-12
DOI
https://doi.org/10.1029/2024gl112665
Citations
4
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
4.42

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article

How Does Pacific Decadal Oscillation Modulate Extreme Heavy Rainfall Frequency Over Far East Asia?

Seok‐Woo Son, Myong‐In Lee, Seung‐Ki Min, Baek‐Min Kim et al.
4 citations
Geophysical Research Letters
Climate variability and models
4.42
article

How Does Pacific Decadal Oscillation Modulate Extreme Heavy Rainfall Frequency Over Far East Asia?

Seok‐Woo Son, Myong‐In Lee, Seung‐Ki Min, Baek‐Min Kim, Haerin Park, Dong‐Hyun Cha, Taeho Mun, Minkyu Lee
article en
4 citations

Abstract

Abstract We investigated the relationship between heavy rainfall events (HREs) and the Pacific Decadal Oscillation (PDO) occurring in Korea over Far East Asia for 40 years (1981–2020). Using K‐means clustering on the low‐level jet, we identified four clusters (C1–C4), with C1 being characterized by weaker synoptic conditions. Out of the four clusters, C1 represented localized extreme HREs compared with the other clusters. Interestingly, only the HRE frequency of C1 was found to have a strong negative correlation with PDO. During the negative‐PDO, sea surface temperature increased above 30°N, which decreased the meridional temperature gradient. This weakened the atmospheric circulation and created thermodynamic instability (i.e., weakened upper jet, increased low‐level temperature, higher atmospheric water capacity), creating a favorable environment for HRE in C1. However, this negative‐PDO environment provided somewhat unfavorable conditions for other clusters (C2–C4), so the PDO impact was insignificant.

Geophysical Research LettersVol. 52(4)
Pohang University of Science and Technology (KR), Seoul National University (KR), Korea Institute of Energy Research (KR), Ulsan National Institute of Science and Technology (KR), Pukyong National University (KR)
National Research Foundation, Korea Meteorological Administration, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 7%
Climate variability and models
4.42
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