A 479-Year Early Summer Temperature Reconstruction Based on Tree-Ring in the Southeastern Tibetan Plateau, China

Abstract

Due to the lack of long-term climate records, our understanding of paleoclimatic variability in the Tibetan Plateau (TP) is still limited. In this study, we developed a tree-ring width (TRW) chronology based on tree-ring cores collected from our study site, southeastern TP. This chronology responded well to the mean maximum temperatures of May–June and was thus used to reconstruct early summer (May–June) maximum temperature during the period 1541–2019. The reconstruction explained 33.6% of the climatic variance during the calibration period 1962–2019. There were 34 extremely warm years (7.2% of total years) and 36 extremely cold years (7.5% of total years) during the reconstruction period. The spatial correlation analysis and the comparison with other local temperature reconstructions confirmed the reliability and representativeness of our reconstruction. The results of the ensemble empirical mode decomposition (EEMD) analysis indicated quasi-oscillations of 2.9–4.2 years, 4.5–8.3 years, 11.1–15.4 years, 20–33.3 years, 50.4 years, 159.7 years, and 250 years in this temperature reconstruction which may be associated with ENSO cycles, solar activity, and PDO.

Observational Constraint on the Contributions of Greenhouse Gas Emission and Anthropogenic Aerosol Removal to Tibetan Plateau Future Warming

“…For example, the warm phase of Atlantic Multidecadal Oscillation is favorable for a warmer condition over the TP, and vice versa, which is related with the mid‐latitude westerly anomalies (Shi et al., 2017; J. Wang et al., 2013, 2014). The Pacific Decadal Oscillation can also modulate TP SAT at interdecadal time scale as supported by the temperature reconstructions (Yin et al., 2021; Y. Zhang et al., 2021). In terms of external forcings, a detection and attribution study based on global climate models participating Coupled Model Intercomparison Project Phase 5 (CMIP5) showed that the observed TP warming during 1961–2005 is attributable to human influences, especially the continued emission of greenhouse gases (GHG) (Zhou & Zhang, 2021), which is mainly caused by the thermodynamic processes related to radiative forcing (Y. Wang et al., 2023).…”

Research on Tree Ring Micro-Destructive Detection Technology Based on Digital Micro-Drilling Resistance Method

“…The detection of tree rings can reveal the growth of trees, judge their age, and provide an important basis for the cultivation, utilization, and protection of trees [1]. In addition, tree rings also record the impact of external factors such as environment and climate on tree growth [2]. Tree ring detection has become an important way of obtaining forest growth and ecological environment information [3][4][5][6].…”