High precise dating on the variation of the Asian summer monsoon since 37 ka BP

Abstract

Comprehensive comparison of paleoclimate change based on records constrained by precise chronology and high-resolution is essential to explore the correlation and interaction within earth climate systems. Here, we propose a new stalagmite-based multidecadal resolved Asian summer monsoon (ASM) record spanning the past thirty-seven thousand years (ka BP, before ad 1950) from Furong Cave, southwestern China. This record is consistent with the published Chinese stalagmite sequences and shows that the dominant controls of the ASM dynamics include not only insolation and solar activity but also suborbital-scale hydroclimate events in the high latitudes of the northern hemisphere, such as the Heinrich events, Bølling-Allerød (BA), and Younger Dryas (YD). Benefit from the unprecedented accurate chronology, the timings of these events are precisely dated, with uncertainties of, at most, 40 years (2σ). The onset of the weak ASM during the YD began at 12.92 ka BP and lasted for 430 years. The occurrence of the 200-yr Older Dryas during the BA period was dated from 13.87 to 14.06 ka BP. The durations of the three Heinrich (H) events, H1, H2, and H3, are 14.33–18.29, 23.77–24.48, and 28.98–30.46 ka BP, respectively. Furong record shows surprisingly variable onset transitions of 980, 210, and 40 years for the corresponding weak ASM events. These discrepancies suggest different influences of the H events on ASM dynamics. During the periods of H 1–3, the obvious difference between our Furong record and NGRIP δ18O record indicated the decoupling correlation between the mid-low latitudes and high latitudes. On the other hand, synchronous climate change in high and low latitudes suggests another possibility which different to the dominant role of Northern high latitudes in triggering global climate change. Our high quality records also indicate a plausible different correlation between the high and mid-low latitudes under glacial and inter-glacial background, especially for the ASM regimes.

Holocene Variability of the Atlantic Multidecadal Oscillation and the Pacific Decadal Oscillation Inferred From Chinese Speleothem δ18O Records

“…In recent decades, significant research has been conducted on HCO due to the favorable natural environment which promotes social development and human welfare during this period (Y. Cai et al., 2021; F. Chen et al., 2015; J. Liu et al., 2015; Z. Zhang, Liu, et al., 2021). However, there is considerable controversy with regard to the duration and climatic characteristics of the HCO reflected by various proxy records (Dong et al., 2018; Jiang et al., 2012; T. Li et al., 2021; Y. Wang et al., 2005; X. Zhang, Liu, et al., 2023; H.‐L. Zhang et al., 2013; N. Zhang et al., 2018).…”

“…Yang et al, 2019), Jinfo (JF) (X. Yang et al, 2019), Furong (FR) (T. Li et al, 2021), Luoshui (LS) (Z. , Lianhua (LHC) (H.-L. Zhang et al, 2013), and Heshang (HS) (C. Hu et al, 2008). The caves in Southern China contain Dark (DC) (Gao et al, 2023), Shigao (SG) (Jiang et al, 2012), Yamen (YM) (Y.…”

“…Jinfo (JF) (X Yang et al, 2019),. Furong (FR) (T Li et al, 2021),. Luoshui (LS) (Z., Lianhua (LHC) (H.-L Zhang et al, 2013),.…”

Calibration and Application of Branched GDGTs to Tibetan Lake Sediments: The Influence of Temperature on the Fall of the Guge Kingdom in Western Tibet, China

“…A statistical regression approach in Fortran, RAMPFIT (Mudelsee, 2000), was employed to analyze our reconstructed temperature at Xiada Co to detect climate transitions. The data were detrended using a weighted least‐squares method (WLS) to estimate the trend, which has previously been successfully applied to geochemical proxy time series (Li et al., 2021; Zhang et al., 2021).…”

Stepwise evolution of the Asian summer monsoon during the Holocene revealed by a stalagmite record from Heifeng Cave, Southwest China

“…RAMPFIT is a statistical regression approach (Mudelsee, 2000) which has been widely used in paleoclimate reconstruction (e.g. Fleitmann et al, 2003;Jiang et al, 2012;Li et al, 2021;Steffensen et al, 2008;Zhang et al, 2019), and we used it to determine change points in the stalagmite HF01 δ 18 O sequence. RAMPFIT involves fitting a "ramp" to a specific part of a record using a weighted least squares method, and it can be used to (Yang et al, 2019); the purple dots show the locations of Lianhua Cave (Zhang et al, 2016) and Dongge Cave (Dykoski et al, 2005); and the light blue dots show the locations of Dali Lake (Goldsmith et al, 2017), Qinghai Lake (An et al, 2012) and Ngangla Ring Tso Lake (Hudson et al, 2015).…”