日本地球惑星科学連合2023年大会

講演情報

[J] オンラインポスター発表

セッション記号 M (領域外・複数領域) » M-IS ジョイント

[M-IS15] 古気候・古海洋変動

2023年5月25日(木) 10:45 〜 12:15 オンラインポスターZoom会場 (22) (オンラインポスター)

コンビーナ:岡崎 裕典(九州大学大学院理学研究院地球惑星科学部門)、長谷川 精(高知大学理工学部)、山崎 敦子(名古屋大学大学院環境学研究科)、小長谷 貴志(東京大学大気海洋研究所)

現地ポスター発表開催日時 (2023/5/23 17:15-18:45)

10:45 〜 12:15

[MIS15-P18] A sea level data archive for assessing and constraining ice sheet reconstructions

★Invited Papers

*Evan James Gowan1,2Jun'ichi Okuno3、Atsuko Yamazaki4,2、Alessio Rovere5 (1.Department of Earth & Environmental Sciences, Kumamoto University、2.KIKAI institute for Coral Reef Sciences、3.National Institute of Polar Research、4.Graduate School of Environmental Studies, Nagoya University、5.Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University)


キーワード:sea level, ice sheets, paleoclimate, data science

The most important constraint on past ice sheet volume is spatial and temporal variations in sea level. Through glacial isostatic adjustment modelling, it is possible to deduce how ice sheets evolved in the past by comparing the modelled sea level with observations of past sea level. We present an ongoing effort to incorporate a global dataset of past sea level observations into an interface that makes comparisons with models possible. As of February 1, 2023, the database contains 9673 fully referenced sea level observations from Eastern North America, the Baltic and North Seas in Europe, southeastern Asia, Australia, various tropical islands, and Antarctica. Most of these data points come from highly scrutinized compilations, for instance from the HOLSEA project. The database contains observations for the past 80,000 years, covering the MIS 4 and MIS 2 glaciations, the MIS 3 interstadial and the Holocene. Radiocarbon dates may be recalibrated using OxCal. A set of scripts, written in BASH, Python and Generic Mapping Tools, automatically plots comparisons of up to six models. The scripts can also be used to create a report that contains all of the plots to make it easy to display all of the results. In this presentation, we show the utility of this dataset by comparing the modelled sea level with the PaleoMIST ice sheet reconstruction. The database is open source and available at: https://github.com/evangowan/paleo_sea_level