Abstract

Tree-ring width (TRW) chronologies have successfully been used as climate proxies to infer climate variabilities over the past hundreds to thousands of years worldwide beyond observational records. However, these data are scarce over parts of subtropical East Asia, and especially over the Korean Peninsula. In this pilot study, Korean red pine (Pinus densiflora Siebold and Zucc.) TRW chronologies from Mt. Mudeung and Mt. Wolchul, South Korea, were developed, and their local- to large-scale climatic responses were investigated. Mt. Mudeung TRW had a positive association with local temperature in the preceding December and April. Mt. Wolchul TRW had a positive association with local temperature in the preceding December and most of the early summer to autumn months, and with local precipitation in February and October. On a large scale, both TRWs retained meaningful temperature and monsoon precipitation signals over East Asia and sea surface temperature signals over the Western North Pacific. The results suggest that the subtropical trees from South Korea can be used to infer past long-term climate variability at both local and large scales over East Asia and the Western North Pacific, such as the East Asian summer monsoon, the Kuroshio Current, the Western North Pacific Subtropical High, and El Niño–Southern Oscillation.

Highlights

  • Understanding past climate variations is an essential task to increase our knowledge of complex climate processes needed for predicting future climate changes

  • We present two newly developed Korean red pine (Pinus densiflora Siebold and Zucc.) Tree-ring width (TRW) chronologies collected from two mountains

  • We investigated tree-growth responses of the new TRW chronologies to local- and large-scale climate conditions, and we explored if oceanic signals such as sea surface temperature (SST) could be obtained from the TRW chronologies

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Summary

Introduction

Understanding past climate variations is an essential task to increase our knowledge of complex climate processes needed for predicting future climate changes Natural archives, such as tree rings, have successfully been utilized to reconstruct long-term climate variability in the past. Tree-ring data, featured by their annual resolution and precise dating, have been widely used to reconstruct the past variability of temperature, precipitation, drought, and even large-scale circulation features for hundreds to thousands of years [1,2,3,4,5,6,7,8,9] Despite their worldwide availability and abundance, there are still regions such as subtropical East. A long-term context of the observed changes is needed to fully estimate the rate of anthropogenic

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