Consistency of the Orbital Chronologies Derived for Vostok and EPICA DC Ice Cores Based on the Dependence of Ice Air Content on Local Insolation

The coherent orbital timescales for ice cores from the Vostok Station and the EPICA DC project are presented. They were constructed by aligning the experimental records of air content of ice with the calculated curves of local summer insolation. It is demonstrated that the accuracy of the timescales obtained in this way is comparable to that of the optimized multi-proxy, multi-site chronologies AICC2023, which are considered to be the most advanced to date for these cores.

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Publication Details

Journal
Izvestiya Atmospheric and Oceanic Physics
Published
2025-12-01
DOI
https://doi.org/10.1134/s0001433825701270
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
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article

Consistency of the Orbital Chronologies Derived for Vostok and EPICA DC Ice Cores Based on the Dependence of Ice Air Content on Local Insolation

V. A. Khomyakova, N. A. Tebenkova, V. Ya. Lipenkov, D. Raynaud
Izvestiya Atmospheric and Oceanic Physics
Ionosphere and magnetosphere dynamics
article

Consistency of the Orbital Chronologies Derived for Vostok and EPICA DC Ice Cores Based on the Dependence of Ice Air Content on Local Insolation

V. A. Khomyakova, N. A. Tebenkova, V. Ya. Lipenkov, D. Raynaud
article en

Abstract

The coherent orbital timescales for ice cores from the Vostok Station and the EPICA DC project are presented. They were constructed by aligning the experimental records of air content of ice with the calculated curves of local summer insolation. It is demonstrated that the accuracy of the timescales obtained in this way is comparable to that of the optimized multi-proxy, multi-site chronologies AICC2023, which are considered to be the most advanced to date for these cores.

Izvestiya Atmospheric and Oceanic PhysicsVol. 61(S2)
St Petersburg University (RU), Arctic and Antarctic Research Institute (RU), Institut des Géosciences de l'Environnement (FR)
Openalex Percentile: Top 30%
Ionosphere and magnetosphere dynamics
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