Articles | Volume 20, issue 2
https://doi.org/10.5194/tc-20-1237-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-1237-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Feb 2026
Research article |
| 17 Feb 2026
| 17 Feb 2026
The changing mass of the Antarctic Ice Sheet during ENSO-dominated periods in the GRACE era (2002–2022)
John Bright Ayabilah
CORRESPONDING AUTHOR
School of Geography, Planning, and Spatial Science, University of Tasmania, Hobart 7001, Tasmania, Australia
The Australian Centre for Excellence in Antarctic Science, Institute for Marine & Antarctic Studies, University of Tasmania, Hobart 7001, Tasmania, Australia
Matt King
School of Geography, Planning, and Spatial Science, University of Tasmania, Hobart 7001, Tasmania, Australia
The Australian Centre for Excellence in Antarctic Science, Institute for Marine & Antarctic Studies, University of Tasmania, Hobart 7001, Tasmania, Australia
Danielle Udy
The Australian Centre for Excellence in Antarctic Science, Institute for Marine & Antarctic Studies, University of Tasmania, Hobart 7001, Tasmania, Australia
Tessa Vance
Australian Antarctic Program Partnership, Institute for Marine & Antarctic Studies, University of Tasmania, Hobart, TAS, 7001, Australia
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Mirko Scheinert, Weisen Shen, Richard C. Aster, Lambert Caron, Michael D. Hartinger, Matt A. King, Andrew Lloyd, Anya M. Reading, J. Paul Winberry, Terry Wilson, Lucilla Alfonsi, Michael J. Bentley, Eric Buchta, Thomas Y. Chen, Peter J. Clarke, Jörg Ebbing, Olaf Eisen, Natalya Gomez, Esra Günaydın, Samantha Hansen, Erik R. Ivins, Achraf Koulali, Grace A. Nield, Frederick Richards, Mahmut O. Selbesoglu, Stephanie Sherman, Pippa L. Whitehouse, and Matthias Willen
EGUsphere, https://doi.org/10.5194/egusphere-2025-6370, https://doi.org/10.5194/egusphere-2025-6370, 2026
This preprint is open for discussion and under review for Solid Earth (SE).
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With an ongoing mass loss the Antarctic Ice Sheet contributes to global-mean sea level rise at a rate of 0.4 mm/a. Thus, it plays a key role in global climate and provides a natural laboratory to study processes that interlink cryosphere, solid Earth, atmosphere and ocean. We discuss how GNSS and seismic networks in Antarctica were used to significantly advance our understanding of these processes, and how they should be maintained and extended to answer key science questions in the future.
Margaret Harlan, Helle Astrid Kjær, Aylin de Campo, Anders Svensson, Thomas Blunier, Vasileios Gkinis, Sarah Jackson, Christopher Plummer, and Tessa Vance
Earth Syst. Sci. Data, 17, 6255–6271, https://doi.org/10.5194/essd-17-6255-2025, https://doi.org/10.5194/essd-17-6255-2025, 2025
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This paper provides high-resolution chemistry and impurity measurements from the Mount Brown South ice core in East Antarctica, from 873 to 2008 CE. Measurements include sodium, ammonium, hydrogen peroxide, electrolytic conductivity, and insoluble microparticles. Data are provided on three scales: 1 mm and 3 cm averaged depth resolution and decadally averaged. The paper also describes the continuous flow analysis systems used to collect the data and characterizes uncertainties and data quality.
Helen J. Shea, Ailie Gallant, Ariaan Purich, and Tessa R. Vance
Clim. Past, 21, 2009–2030, https://doi.org/10.5194/cp-21-2009-2025, https://doi.org/10.5194/cp-21-2009-2025, 2025
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Ice core data from Mount Brown South (MBS), East Antarctica links high sea salt years to stronger westerly winds and increased sea ice near MBS's northeast coast. Low pressure storms off the coast might transport sea salts from sea ice regions to MBS. The tropical Pacific influences sea salt levels with El Niño events affecting wind patterns around MBS, impacting sea salt sources. Identifying these mechanisms aids in the understanding of climate variability before instrumental records.
Max T. Nilssen, Danielle G. Udy, and Tessa R. Vance
Clim. Past, 21, 897–917, https://doi.org/10.5194/cp-21-897-2025, https://doi.org/10.5194/cp-21-897-2025, 2025
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Reanalyses can be used to study past weather and climate, but their reliability is uncertain in data-sparse regions, such as the southern Indian Ocean. We used weather typing and an ice core record from East Antarctica to show that the 20th Century Reanalysis project can better represent the weather conditions that lead to snowfall variability at the ice core site when key weather observations from the Southern Ocean (e.g. Macquarie Island) commence around the mid-20th century.
Eric Buchta, Mirko Scheinert, Matt A. King, Terry Wilson, Achraf Koulali, Peter J. Clarke, Demián Gómez, Eric Kendrick, Christoph Knöfel, and Peter Busch
Earth Syst. Sci. Data, 17, 1761–1780, https://doi.org/10.5194/essd-17-1761-2025, https://doi.org/10.5194/essd-17-1761-2025, 2025
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Geodetic GPS measurements in Antarctica have been used to track bedrock displacement, which is vital for understanding geodynamic processes such as plate motion and glacial isostatic adjustment. However, the potential of GPS data has been limited by its partially fragmented availability and unreliable metadata. A new dataset, which spans the period from 1995 to 2021, offers consistently processed coordinate time series for 286 GPS sites and promises to enhance future geodynamic research.
Jordan R. W. Martin, Joel B. Pedro, and Tessa R. Vance
Clim. Past, 20, 2487–2497, https://doi.org/10.5194/cp-20-2487-2024, https://doi.org/10.5194/cp-20-2487-2024, 2024
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We use existing palaeoclimate data and a statistical model to predict atmospheric CO2 concentrations across the Mid-Pleistocene Transition. Our prediction assumes that the relationship between CO2 and benthic ẟ18Ocalcite over the past 800 000 years can be extended over the last 1.8 million years. We find no clear evidence from existing blue ice or proxy-based CO2 data to reject the predicted record. A definitive test awaits analysis of continuous oldest ice core records from Antarctica.
Margaret Mallory Harlan, Jodi Fox, Helle Astrid Kjær, Tessa R. Vance, Anders Svensson, and Eliza Cook
Clim. Past Discuss., https://doi.org/10.5194/cp-2024-64, https://doi.org/10.5194/cp-2024-64, 2024
Revised manuscript under review for CP
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We identify two tephra horizons in the Mount Brown South (MBS) ice core originating from the mid-1980s eruptive period of Mt. Erebus and the 1991 eruption of Cerro Hudson. They represent an important addition to East Antarctic tephrochronology, with implications for understanding atmospheric dynamics and ice core chronologies. This work underpins the importance of the MBS ice core as a new tephrochronological archive in an underrepresented region of coastal East Antarctica.
Tessa R. Vance, Nerilie J. Abram, Alison S. Criscitiello, Camilla K. Crockart, Aylin DeCampo, Vincent Favier, Vasileios Gkinis, Margaret Harlan, Sarah L. Jackson, Helle A. Kjær, Chelsea A. Long, Meredith K. Nation, Christopher T. Plummer, Delia Segato, Andrea Spolaor, and Paul T. Vallelonga
Clim. Past, 20, 969–990, https://doi.org/10.5194/cp-20-969-2024, https://doi.org/10.5194/cp-20-969-2024, 2024
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This study presents the chronologies from the new Mount Brown South ice cores from East Antarctica, which were developed by counting annual layers in the ice core data and aligning these to volcanic sulfate signatures. The uncertainty in the dating is quantified, and we discuss initial results from seasonal cycle analysis and mean annual concentrations. The chronologies will underpin the development of new proxy records for East Antarctica spanning the past millennium.
Lingwei Zhang, Tessa R. Vance, Alexander D. Fraser, Lenneke M. Jong, Sarah S. Thompson, Alison S. Criscitiello, and Nerilie J. Abram
The Cryosphere, 17, 5155–5173, https://doi.org/10.5194/tc-17-5155-2023, https://doi.org/10.5194/tc-17-5155-2023, 2023
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Physical features in ice cores provide unique records of past variability. We identified 1–2 mm ice layers without bubbles in surface ice cores from Law Dome, East Antarctica, occurring on average five times per year. The origin of these bubble-free layers is unknown. In this study, we investigate whether they have the potential to record past atmospheric processes and circulation. We find that the bubble-free layers are linked to accumulation hiatus events and meridional moisture transport.
Sarah L. Jackson, Tessa R. Vance, Camilla Crockart, Andrew Moy, Christopher Plummer, and Nerilie J. Abram
Clim. Past, 19, 1653–1675, https://doi.org/10.5194/cp-19-1653-2023, https://doi.org/10.5194/cp-19-1653-2023, 2023
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Ice core records are useful tools for reconstructing past climate. However, ice cores favour recording climate conditions at times when snowfall occurs. Large snowfall events in Antarctica are often associated with warmer-than-usual temperatures. We show that this results in a tendency for the Mount Brown South ice core record to preserve a temperature record biased to the climate conditions that exist during extreme events, rather than a temperature record that reflects the mean annual climate.
Elizabeth R. Thomas, Diana O. Vladimirova, Dieter R. Tetzner, B. Daniel Emanuelsson, Nathan Chellman, Daniel A. Dixon, Hugues Goosse, Mackenzie M. Grieman, Amy C. F. King, Michael Sigl, Danielle G. Udy, Tessa R. Vance, Dominic A. Winski, V. Holly L. Winton, Nancy A. N. Bertler, Akira Hori, Chavarukonam M. Laluraj, Joseph R. McConnell, Yuko Motizuki, Kazuya Takahashi, Hideaki Motoyama, Yoichi Nakai, Franciéle Schwanck, Jefferson Cardia Simões, Filipe Gaudie Ley Lindau, Mirko Severi, Rita Traversi, Sarah Wauthy, Cunde Xiao, Jiao Yang, Ellen Mosely-Thompson, Tamara V. Khodzher, Ludmila P. Golobokova, and Alexey A. Ekaykin
Earth Syst. Sci. Data, 15, 2517–2532, https://doi.org/10.5194/essd-15-2517-2023, https://doi.org/10.5194/essd-15-2517-2023, 2023
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The concentration of sodium and sulfate measured in Antarctic ice cores is related to changes in both sea ice and winds. Here we have compiled a database of sodium and sulfate records from 105 ice core sites in Antarctica. The records span all, or part, of the past 2000 years. The records will improve our understanding of how winds and sea ice have changed in the past and how they have influenced the climate of Antarctica over the past 2000 years.
Lenneke M. Jong, Christopher T. Plummer, Jason L. Roberts, Andrew D. Moy, Mark A. J. Curran, Tessa R. Vance, Joel B. Pedro, Chelsea A. Long, Meredith Nation, Paul A. Mayewski, and Tas D. van Ommen
Earth Syst. Sci. Data, 14, 3313–3328, https://doi.org/10.5194/essd-14-3313-2022, https://doi.org/10.5194/essd-14-3313-2022, 2022
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Ice core records from Law Dome in East Antarctica, collected over the the last 3 decades, provide high-resolution data for studies of the climate of Antarctica, Australia and the Southern and Indo-Pacific oceans. Here, we present a set of annually dated records from Law Dome covering the last 2000 years. This dataset provides an update and extensions both forward and back in time of previously published subsets of the data, bringing them together into a coherent set with improved dating.
Ole Richter, David E. Gwyther, Matt A. King, and Benjamin K. Galton-Fenzi
The Cryosphere, 16, 1409–1429, https://doi.org/10.5194/tc-16-1409-2022, https://doi.org/10.5194/tc-16-1409-2022, 2022
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Tidal currents may play an important role in Antarctic ice sheet retreat by changing the rate at which the ocean melts glaciers. Here, using a computational ocean model, we derive the first estimate of present-day tidal melting that covers all of Antarctica. Our results suggest that large-scale ocean models aiming to accurately predict ice melt rates will need to account for the effects of tides. The inclusion of tide-induced friction at the ice–ocean interface should be prioritized.
Grace A. Nield, Matt A. King, Rebekka Steffen, and Bas Blank
Geosci. Model Dev., 15, 2489–2503, https://doi.org/10.5194/gmd-15-2489-2022, https://doi.org/10.5194/gmd-15-2489-2022, 2022
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We present a finite-element model of post-seismic solid Earth deformation built in the software package Abaqus for the purpose of calculating post-seismic deformation in the far field of major earthquakes. The model is benchmarked against an existing open-source post-seismic model demonstrating good agreement. The advantage over existing models is the potential for simple modification to include 3-D Earth structure, non-linear rheologies and alternative or multiple sources of stress change.
Camilla K. Crockart, Tessa R. Vance, Alexander D. Fraser, Nerilie J. Abram, Alison S. Criscitiello, Mark A. J. Curran, Vincent Favier, Ailie J. E. Gallant, Christoph Kittel, Helle A. Kjær, Andrew R. Klekociuk, Lenneke M. Jong, Andrew D. Moy, Christopher T. Plummer, Paul T. Vallelonga, Jonathan Wille, and Lingwei Zhang
Clim. Past, 17, 1795–1818, https://doi.org/10.5194/cp-17-1795-2021, https://doi.org/10.5194/cp-17-1795-2021, 2021
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We present preliminary analyses of the annual sea salt concentrations and snowfall accumulation in a new East Antarctic ice core, Mount Brown South. We compare this record with an updated Law Dome (Dome Summit South site) ice core record over the period 1975–2016. The Mount Brown South record preserves a stronger and inverse signal for the El Niño–Southern Oscillation (in austral winter and spring) compared to the Law Dome record (in summer).
Steven J. Phipps, Jason L. Roberts, and Matt A. King
Geosci. Model Dev., 14, 5107–5124, https://doi.org/10.5194/gmd-14-5107-2021, https://doi.org/10.5194/gmd-14-5107-2021, 2021
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Simplified schemes, known as parameterisations, are sometimes used to describe physical processes within numerical models. However, the values of the parameters are uncertain. This introduces uncertainty into the model outputs. We develop a simple approach to identify plausible ranges for model parameters. Using a model of the Antarctic Ice Sheet, we find that the value of one parameter can depend on the values of others. We conclude that a single optimal set of parameter values does not exist.
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Short summary
Large-scale climate modes significantly influence Antarctic Ice Sheet (AIS) mass variability. This study investigates AIS variability during different El Niño-Southern Oscillation (ENSO) periods using GRACE data (2002–2022). Results show strong spatial variability driven by changes in the Amundsen Sea Low (ASL) and Southern Annular Mode (SAM). This highlights the importance of understanding these patterns for future ice mass estimates and sea level rise predictions.
Large-scale climate modes significantly influence Antarctic Ice Sheet (AIS) mass variability....
