Re-evaluating Holocene ice-sheet thinning in the Indian Ocean sector of East Antarctica based on sea-level data and glacial isostatic adjustment modelling

The study of past changes in East Antarctic Ice Sheet (EAIS) is crucial for understanding the ice-sheet dynamics and its response to the Earth's climate system. Field-based geological data and various model simulations, such as the ice-sheet and glacial isostatic adjustment (GIA) modelling, provide insights into the behaviour of the EAIS changes. Recent studies of in-situ cosmogenic nuclide surface exposure dates have revealed that large-scale thinning occurred in the Dronning Maud Land and Enderby Land of East Antarctica during 9–6 ka. However, the timing of this EAIS thinning event requires a refinement of the ICE-6G model, which is a widely used GIA-based ice-sheet history. To account for this temporal discrepancy of approximately 2,000 years, in which the ICE-6G model predicts ice thinning earlier than indicated by surface exposure dates, it is necessary to compare the sea levels by the GIA modelling with the geological sea-level data to evaluate the validity of this refinement. We established the sea-level dataset by recalibrating radiocarbon dates of previous works and incorporating 13 new sea-level data. The results of the refined ICE-6G model produced the higher Holocene sea-level peaks in the Lützow–Holm Bay, Dronning Maud Land, showing better consistency with sea-level data than the original ICE-6G model. Additionally, the refinements increase the vertical rate of uplift in the Lützow–Holm Bay, making it more consistent with reported GNSS observations. These findings demonstrate that the Holocene rapid ice sheet thinning is corroborated not only by surface exposure dates but also by sea-level data, thus validating the refinement and supporting the mechanism of warm water inflow driven by sea-level highstands, as proposed in previous study. • Ice thinning occurred in East Antarctica (EA) between ∼9,000 and 6,000 years ago. • A temporal gap exists between models and geological evidence of ice thinning. • A refined model matches sea-level data better than the original model. • A refined model reveals higher Holocene sea-level peak then the original model. • Results support enhanced warm water inflow driven by sea-level during the Holocene.

Authors

Institutions

Publication Details

Journal
Quaternary Science Reviews
Published
2026-01-03
DOI
https://doi.org/10.1016/j.quascirev.2025.109786
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Re-evaluating Holocene ice-sheet thinning in the Indian Ocean sector of East Antarctica based on sea-level data and glacial isostatic adjustment modelling

Takeshige Ishiwa, Yuki Tokuda, Takuya Itaki, Yûsuke Suganuma et al.
Quaternary Science Reviews
Cryospheric studies and observations
article

Re-evaluating Holocene ice-sheet thinning in the Indian Ocean sector of East Antarctica based on sea-level data and glacial isostatic adjustment modelling

Takeshige Ishiwa, Yuki Tokuda, Takuya Itaki, Yûsuke Suganuma, Satoshi Sasaki, Jun'ichi Okuno
article en

Abstract

The study of past changes in East Antarctic Ice Sheet (EAIS) is crucial for understanding the ice-sheet dynamics and its response to the Earth's climate system. Field-based geological data and various model simulations, such as the ice-sheet and glacial isostatic adjustment (GIA) modelling, provide insights into the behaviour of the EAIS changes. Recent studies of in-situ cosmogenic nuclide surface exposure dates have revealed that large-scale thinning occurred in the Dronning Maud Land and Enderby Land of East Antarctica during 9–6 ka. However, the timing of this EAIS thinning event requires a refinement of the ICE-6G model, which is a widely used GIA-based ice-sheet history. To account for this temporal discrepancy of approximately 2,000 years, in which the ICE-6G model predicts ice thinning earlier than indicated by surface exposure dates, it is necessary to compare the sea levels by the GIA modelling with the geological sea-level data to evaluate the validity of this refinement. We established the sea-level dataset by recalibrating radiocarbon dates of previous works and incorporating 13 new sea-level data. The results of the refined ICE-6G model produced the higher Holocene sea-level peaks in the Lützow–Holm Bay, Dronning Maud Land, showing better consistency with sea-level data than the original ICE-6G model. Additionally, the refinements increase the vertical rate of uplift in the Lützow–Holm Bay, making it more consistent with reported GNSS observations. These findings demonstrate that the Holocene rapid ice sheet thinning is corroborated not only by surface exposure dates but also by sea-level data, thus validating the refinement and supporting the mechanism of warm water inflow driven by sea-level highstands, as proposed in previous study. • Ice thinning occurred in East Antarctica (EA) between ∼9,000 and 6,000 years ago. • A temporal gap exists between models and geological evidence of ice thinning. • A refined model matches sea-level data better than the original model. • A refined model reveals higher Holocene sea-level peak then the original model. • Results support enhanced warm water inflow driven by sea-level during the Holocene.

Quaternary Science ReviewsVol. 375
Shimane University (JP), The Graduate University for Advanced Studies, SOKENDAI (JP), Tottori University of Environmental Studies (JP), National Institute of Polar Research (JP), Geological Survey of Japan (JP), Research Organization of Information and Systems (JP)
Life below water
Openalex Percentile: Top 99%
Cryospheric studies and observations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.