Data-driven model for investigation of the mid-Pleistocene transition

Evgeny M Loskutov; Dmitry N Mukhin; Andrey S Gavrilov; Alexander M Feigin

講演情報

[EJ] 口頭発表

セッション記号 M (領域外・複数領域) » M-GI 地球科学一般・情報地球科学

[M-GI29] [EJ] データ駆動地球惑星科学

2017年5月20日(土) 15:30 〜 17:00 102 (国際会議場 1F)

コンビーナ:桑谷立(国立研究開発法人　海洋研究開発機構)、Kondrashov Dmitri(University of California, Los Angeles)、長尾大道(東京大学地震研究所)、Sergey Kravtsov(University of Wisconsin Milwaukee)、座長:吉田健太(国立研究開発法人海洋研究開発機構)、座長:Kondrashov Dmitri(University of California, Los Angeles)

15:45 〜 16:00

[MGI29-14] Data-driven model for investigation of the mid-Pleistocene transition

*Evgeny M Loskutov¹、Dmitry N Mukhin¹、Andrey S Gavrilov¹、Alexander M Feigin¹ (1.Institute of Applied Physics RAS)

キーワード：Data-driven Modeling, Critical Transitions, Time Series Analysis, Mid Pleistocene Transition

In this work we apply a data-driven model for the analysis of complex spatially distributed geophysical data. We are focused on the investigation of critical transitions on paleo timescales. Namely we investigated mid-Pleistocene transition which led to change of dominate cycles of glacial variability in Pleistocene.
We demonstrate the good performance of applying our data-driven model to analysis of paleoclimate variability. In particular, we discuss the possibility of detecting, identifying and prediction of the mid-Pleistocene transition by means of nonlinear empirical modeling using the paleoclimate record time series.
The study is supported by Government of Russian Federation (agreement #14.Z50.31.0033 with the Institute of Applied Physics of RAS).