Japan Geoscience Union Meeting 2023

Presentation information

[J] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-CC Cryospheric Sciences & Cold District Environment

[A-CC26] Ice cores and paleoenvironmental modeling

Mon. May 22, 2023 3:30 PM - 4:45 PM 103 (International Conference Hall, Makuhari Messe)

convener:Ryu Uemura(Nagoya University), Nozomu Takeuchi(Chiba University), Kenji Kawamura(National Institute of Polar Research, Research Organization of Information and Systems), Fuyuki SAITO(Japan Agency for Marine-Earth Science and Technology), Chairperson:Ikumi Oyabu(National Institute of Polar Research, Research Organization of Information and Systems), Ryu Uemura(Nagoya University), Nozomu Takeuchi(Chiba University), Fuyuki SAITO(Japan Agency for Marine-Earth Science and Technology)

4:00 PM - 4:15 PM

[ACC26-08] Seasonally Resolved Age Scale for Greenland SE-Dome II Ice Core Based on Oxygen Isotope Record

*SAAYA HAMAMOTO1, Ryu Uemura1, Sumito Matoba2, Kaoru Kawakami2, Mahiro Sasage2, Mai Matsumoto2, Kei Yoshimura3, Atsushi Okazaki4, Yoshinori Iizuka2 (1.Nagoya University, 2.Institite of Low Temperature Science, Hokkaido University, 3.Institute of Industrial Science, The University of Tokyo, 4.Hirosaki University)


Keywords:Ice core, oxygen stable isotope

Highly accurate age estimation is essential for interpreting past aerosol concentration variations and other data preserved in ice cores with seasonal time resolution. Here, we report the results of a precise age estimation of the SE-Dome II ice core (length 250.51 m) drilled in 2021 in southeast Greenland using δ18O.
We analyzed the oxygen isotope ratio of water (δ18O) with a cavity ring-down spectrometer (L2130-i, Picarro) at 5 cm resolution. Two methods were used to create the age scale: (i) pattern matching of δ18O with precipitation isotope models based on meteorological reanalysis data (1881-2019) and (ii) an automated annual layer counting algorithm (pre-1881). For 1881-1978, we used a precipitation isotope model based on 20th-century reanalysis data.
As in previous studies (Furukawa et al., 2017), the correlation between the ice core data and the model in (i) was high (r = 0.73), and the pattern matching of δ18O was able to estimate the age with an accuracy of a few months. High correlations were also obtained for the interval of 20th-century reanalysis data. For the automated annual layer counting (1799-1881), the error was ±1 year. The age scale was also consistent with the reference layers of volcanic eruptions, melting, and Tritium peak.
To confirm the usefulness of the age scale, we applied the age scale to available H2O2 concentration data from the SE2 ice core. The results showed that the seasonality of H2O2 concentration can be reconstructed within a few months of age uncertainty. These results suggest that the obtained age scale can be used to reconstruct various atmospheric environmental data over the past 140 years at the level of seasonal variations.

References :
Furukawa et al. (2017) Journal of Geophysical Research: Atmospheres, https://doi.org/10.1002/2017JD026716