Japan Geoscience Union Meeting 2024

Presentation information

[J] Poster

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS17] History X Earth and Planetary Science

Thu. May 30, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

convener:Yasuyuki Kano(Earthquake Research Institute, The University of Tokyo), Kei Yoshimura(Institute of Industrial Science, The University of Tokyo), kiyomi iwahashi(kokugakuin university), Harufumi Tamazawa(Institute of Industrial Science, the University of Tokyo)

5:15 PM - 6:45 PM

[MIS17-P11] A Study of the Relationship between Large-Scale Atmospheric Phenomena and Tree Ring Cellulose Oxygen Isotope Ratios

*Yoshida Shiori1, Tsubasa Kohyama1 (1.Ochanomizu University Graduate School of Humanities and Sciences Advanced Sciences)

Keywords:climate restoration, old records, Tree Ring Cellulose Oxygen Isotope Ratios

As an attempt to reconstruct climatic variability before the existence of weather observation data, many previous studies have been conducted in the past to reconstruct temperature fluctuations based on the number of sunny days and precipitation days in the weather records in old diaries. While, time series data on Tree Ring Cellulose Oxygen Isotope Ratios have been shown to correlate well with precipitation in summer, the season in which trees grow.

This time series is characterized by a high temporal resolution, which can be dated on a yearly basis. The information can be obtained continuously and with high accuracy over long time scales, including prehistory and antiquity, and this feature makes it suitable for climate reconstruction.

In this study, we investigate the feasibility of using Tree Ring Cellulose Oxygen Isotope Ratios as a method of testing the reliability of temperature fluctuations reconstructed from old diaries. We discuss how synoptic and planetary-scale atmospheric phenomena determine the time series of Tree Ring Cellulose Oxygen Isotope Ratios over the period 1979-2005, when satellite observations and reanalysis data are available. Next, for the method of temperature reconstruction from old weather records, We construct a statistical model that can retain features in the time series data, and assess its usefulness using Tree Ring Cellulose Oxygen Isotope Ratios. Specifically, we will discuss whether temperature variations reconstructed from old diaries can be explained consistently with large-scale atmospheric phenomena reconstructed from time series of Tree Ring Cellulose Oxygen Isotope Ratios.