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Variability of the East Asian summer monsoon rainfall over Korea during the Early to Mid-Holocene and its links to global climate changes

Published online by Cambridge University Press:  11 November 2025

Sujeong Park
Affiliation:
Korea Institute of Geoscience and Mineral Resources, Daejeon, Republic of Korea
Jaesoo Lim*
Affiliation:
Korea Institute of Geoscience and Mineral Resources, Daejeon, Republic of Korea Korea University of Science and Technology (UST), Daejeon, Republic of Korea
*
Corresponding author: Jaesoo Lim; Email: limjs@kigam.re.kr
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Abstract

Understanding the spatiotemporal variability of global summer monsoons and the factors controlling them is essential for testing and predicting their future changes under the anticipated global warming. Here, we reconstructed a series of East Asian summer monsoon (EASM) patterns over South Korea. Based on radiocarbon dates, grain size, carbon/sulfur (C/S) ratios, and high-resolution X-ray fluorescence core scanning (XRF-CS) data (e.g., Ti/Al and Zr/Al ratios) from a paleo-bay site in Hadong area, southern Korea, we investigated the multi-decadal- to centennial-scale variation in the terrestrial element inputs as a proxy for the EASM rainfall during the period from 8600 to 7800 cal yr BP and compared previous results from the Buan area, western coast of Korea, to test possible synchronous local-scale hydroclimate change. We also explored global teleconnections among EASM over Korea, the Indian summer monsoon (ISM), and the movement of the Intertropical Convergence Zone (ITCZ). We found that the EASM variability was positively correlated with that of the ISM through latitudinal shifts of the ITCZ. High-latitude cooling climates, including the 8.2 ka cooling event, were also directly connected to the weakened EASM via the intensified winter monsoon and southward shift of the westerly jet position over the Tibetan Plateau. To predict future changes in summer rainfall, synchronized changes in the global summer precipitation should be considered in terms of ITCZ and high-latitude climate change, including westerly jet shifts over Asian regions.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Quaternary Research Center.
Figure 0

Figure 1. Map showing global monsoon areas and the present seasonal shift in the intertropical convergence zone (ITCZ) (modified from Google Maps). Circle indicates the East Asian summer monsoon (EASM) sites, triangle indicates the Indian summer monsoon (ISM) sites, and square indicates the South American summer monsoon (SASM) region. The locations of the geological records of EASM over the Hadong area (HD), Korea (this study) and China (DC, Dongge Cave [Dykoski et al., 2005]; GL, Gonghai Lake [Chen et al., 2015; Zhang et al., 2018]), ISM (Qunf Cave [Fleitmann et al., 2003] and Tianmen Cave [Cai et al., 2012]), and SASM (Padre Cave, Brazil; Cheng et al., 2009) are also shown.

Figure 1

Figure 2. Simplified climatic system around the East Asia region and study sites (modified from Google Maps, Naver Maps). (A) Schematic map showing East Asian and Indian monsoon areas and the present seasonal shift in the westerly jet over the Tibetan Plateau and Asian continent. The East Asian summer monsoon (EASM; this study), Indian summer monsoon (ISM; Qunf Cave; Fleitmann et al., 2003), and atmospheric temperature data from Greenland (NGRIP ice cores) are indicated. (B) Study area (JG-04) on the southern coast of Korea and the comparison site (QJS60; Park et al., 2023). (C) Changma front affecting both study sites, QJS60 and JG-04, during 2019 (modified from a satellite image of GEO-KOMPSAT-2A, August 7, 2020). (D) Study area (JG-04) in Hadong Province and Gwangyang Bay (core STP17-14; Lim et al., 2023a), southern coast of Korea. (E) Study area and coring site (JG-04), located in a former shallow bay (paleo-Hadong Bay), now part of a reclaimed land area.

Figure 2

Figure 3. (A) Annual summer precipitation records for the study area (Jinju; Figure. 2C and 2D) and Buan (core QJS6; Figure. 2B) from 1972 to 2020. (B) Correlation of summer precipitation (3 year average) between Jinju and Buan, with a correlation coefficient of R = 0.69.

Figure 3

Figure 4. (A) Photograph of core JG-04 (0∼31 m) from Hadong Province, Korea. (B) Age–depth model for core JG-04. Depth (m) converted to age (cal yr BP) by using an age–depth model calculated with CLAM software (Blaauw, 2010). The model was generated using linear interpolation between dated levels (type = 1), weighted by calibrated probabilities (prob. = 0.95), and excluding three identified outliers. Reversed ages (marked in red) were not used in the model.

Figure 4

Figure 5. Lithological features and results of age dating, grain-size, and geochemical analyses of core JG-04 from Hadong Province, southern coast of Korea. (A) Radiocarbon dating results. (B) Median grain size. (C) C/N ratios. (D) C/S ratios. (E) Total sulfur (TS) content. (F) Sulfur intensity measured by X-ray fluorescence core scanning (XRF-CS). cps, counts per second.

Figure 5

Table 1. Results of radiocarbon dating for core JG-04, Hadong area, Korea.

Figure 6

Figure 6. Comparison of multi-elemental information with lithological features, age dating, and grain-size results in core JG-04 from Hadong Province, southern coast of Korea. Depth profiles of semiquantitatively determined element ratios (Zr/Ti, Zr/Al, Zr/K, Zr/Rb, and Sr/Ti) measured by X-ray fluorescence core scanning (XRF-CS).

Figure 7

Figure 7. Cross plots and correlation coefficients between elemental ratios (Ti/Al and Zr/Al) and S intensity (cps, counts per second) in lithological Unit3b of sedimentary core JG-04, Hadong Province, southern coast of Korea.

Figure 8

Figure 8. (A) Comparison between the reconstructed past sea-level change (Lambeck et al., 2014 and references therein) and elevation–age curves in Hadong area (JG-04; this study), Gwangyang Bay (STP17-14; Lim et al., 2023), and Buan area (QJS60; Park et al., 2023). (B) S intensity (cps, count per second) in the Hadong area (JG-04, this study). (C and D) Zr/Al and Ti/Al ratios in the Hadong area (JG-04; this study). (E and F) Comparison of total sulfur (TS) content in core JG-04 with C/S ratios from cores JG-04 (this study) and STP17-14 (Lim et al., 2023) on the southern coast of Korea during the Early Holocene. Past water depths at the coring sites were estimated based on reconstructed sea levels from the Yellow Sea and East China Sea (Lambeck et al., 2014 and references therein).

Figure 9

Figure 9. Comparison of past freshwater input variability in the past coastal regions in South Korea representing East Asian summer monsoon (EASM) with other climatic indices. (A) Atmospheric temperature index based on δ1⁸O values from Greenland ice cores (NGRIP members, 2004). Numbers (1∼17) represent lower-temperature (cooling) events, including the 8.2 ka cooling event. (B) Freshwater input variability represented by the Ti/Al ratio time series from cores JG-04 (southern coast in Korea; this study). Each square with an error range indicates dating points. (C) Freshwater input variability in core QJS60 (western coast in Korea; Park et al., 2023). Each square with an error range indicates dating points. (D) Indian summer monsoon (ISM) index from detrended δ1⁸O values of stalagmites in Tianmen Cave (Cai et al., 2012). (E) ISM variability from detrended δ1⁸O values of stalagmites in Qunf Cave, Oman (Fleitmann et al., 2007). (F) South America summer monsoon (SASM) variability coupled with Intertropical Convergence Zone (ITCZ) shift from detrended δ1⁸O values of stalagmites in Padre Cave, Brazil (Cheng et al., 2009). “f” and “d” indicate possible flooding and drought periods, respectively.