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.
Authors
- Seok‐Woo Son (ORCID: https://orcid.org/0000-0003-2982-9501)
- Myong‐In Lee (ORCID: https://orcid.org/0000-0001-8983-8624)
- Seung‐Ki Min (ORCID: https://orcid.org/0000-0002-6749-010X)
- Baek‐Min Kim (ORCID: https://orcid.org/0000-0002-1717-183X)
- Haerin Park (ORCID: https://orcid.org/0000-0002-8578-2085)
- Dong‐Hyun Cha (ORCID: https://orcid.org/0000-0001-5053-6741)
- Taeho Mun
- Minkyu Lee (ORCID: https://orcid.org/0000-0003-2025-7244)
Institutions
- 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)
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
Funders
- National Research Foundation
- Korea Meteorological Administration
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea