Articles | Volume 20, issue 6
https://doi.org/10.5194/tc-20-3271-2026
© 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-20-3271-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
09 Jun 2026
Research article | Highlight paper |
| 09 Jun 2026
| 09 Jun 2026
The influence of ocean waves on Antarctic sea-ice albedo and seasonal melting, and potential coupled physical and biological feedbacks
Australian Antarctic Division, Department of Climate Change, Energy, the Environment and Water, Kingston, Tasmania 7050, Australia
Australian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, Battery Point, Tasmania 7004, Australia
ARC Australian Centre for Excellence in Antarctic Science, Institute for Marine and Antarctic Studies, Battery Point, Tasmania 7004, Australia
Phillip A. Reid
Australian Bureau of Meteorology, Hobart, Tasmania 7000, Australia
Australian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, Battery Point, Tasmania 7004, Australia
Stephen G. Warren
Department of Atmospheric and Climate Science, University of Washington, Seattle, Washington 98195, USA
Bonnie Light
Department of Atmospheric and Climate Science, University of Washington, Seattle, Washington 98195, USA
Polar Science Center, University of Washington, Seattle, Washington 98195, USA
Donald K. Perovich
Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755, USA
Luke G. Bennetts
School of Mathematics and Statistics, University of Melbourne, Parkville, Victoria 3010, Australia
formerly at: School of Computer and Mathematical Sciences, University of Adelaide, Adelaide, South Australia 5005, Australia
Petteri Uotila
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, 00170 Helsinki, Finland
Siobhan P. O'Farrell
CSIRO Environment, Aspendale, Victoria 3195, Australia
Michael H. Meylan
School of Computer and Information Sciences, University of Newcastle, Callaghan, New South Wales 2308, Australia
Klaus M. Meiners
Australian Antarctic Division, Department of Climate Change, Energy, the Environment and Water, Kingston, Tasmania 7050, Australia
Australian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, Battery Point, Tasmania 7004, Australia
ARC Australian Centre for Excellence in Antarctic Science, Institute for Marine and Antarctic Studies, Battery Point, Tasmania 7004, Australia
Pat Wongpan
Australian Antarctic Division, Department of Climate Change, Energy, the Environment and Water, Kingston, Tasmania 7050, Australia
Australian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, Battery Point, Tasmania 7004, Australia
Alexander D. Fraser
Institute for Marine and Antarctic Studies, Battery Point, Tasmania 7004, Australia
Australian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, Battery Point, Tasmania 7004, Australia
Alessandro Toffoli
Department of Infrastructure Engineering, University of Melbourne, Parkville, Victoria 3010, Australia
Giulio Passerotti
Department of Infrastructure Engineering, University of Melbourne, Parkville, Victoria 3010, Australia
School of Computing and Information Systems, University of Melbourne, Parkville, Victoria 3010, Australia
Peter G. Strutton
Institute for Marine and Antarctic Studies, Battery Point, Tasmania 7004, Australia
ARC Australian Centre for Excellence in Antarctic Science, Institute for Marine and Antarctic Studies, Battery Point, Tasmania 7004, Australia
Sean M. T. Chua
Australian Antarctic Division, Department of Climate Change, Energy, the Environment and Water, Kingston, Tasmania 7050, Australia
Australian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, Battery Point, Tasmania 7004, Australia
Melissa Fedrigo
Australian Antarctic Division, Department of Climate Change, Energy, the Environment and Water, Kingston, Tasmania 7050, Australia
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Geosci. Model Dev., 15, 2973–3020, https://doi.org/10.5194/gmd-15-2973-2022, https://doi.org/10.5194/gmd-15-2973-2022, 2022
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Atmos. Chem. Phys., 22, 4413–4469, https://doi.org/10.5194/acp-22-4413-2022, https://doi.org/10.5194/acp-22-4413-2022, 2022
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We summarize results during the last 5 years in the northern Eurasian region, especially from Russia, and introduce recent observations of the air quality in the urban environments in China. Although the scientific knowledge in these regions has increased, there are still gaps in our understanding of large-scale climate–Earth surface interactions and feedbacks. This arises from limitations in research infrastructures and integrative data analyses, hindering a comprehensive system analysis.
Yu Yan, Wei Gu, Andrea M. U. Gierisch, Yingjun Xu, and Petteri Uotila
Geosci. Model Dev., 15, 1269–1288, https://doi.org/10.5194/gmd-15-1269-2022, https://doi.org/10.5194/gmd-15-1269-2022, 2022
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In this study, we developed NEMO-Bohai, an ocean–ice model for the Bohai Sea, China. This study presented the scientific design and technical choices of the parameterizations for the NEMO-Bohai model. The model was calibrated and evaluated with in situ and satellite observations of ocean and sea ice. NEMO-Bohai is intended to be a valuable tool for long-term ocean and ice simulations and climate change studies.
Jessica Cartwright, Alexander D. Fraser, and Richard Porter-Smith
Earth Syst. Sci. Data, 14, 479–490, https://doi.org/10.5194/essd-14-479-2022, https://doi.org/10.5194/essd-14-479-2022, 2022
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Due to the scale and remote nature of the polar regions, it is essential to use satellite remote sensing to monitor and understand them and their dynamics. Here we present data from the Advanced Scatterometer (ASCAT), processed in a manner proven for use in cryosphere studies. The data have been processed on three timescales (5 d, 2 d and 1 d) in order to optimise temporal resolution as each of the three MetOp satellites is launched.
Madison M. Smith, Marika Holland, and Bonnie Light
The Cryosphere, 16, 419–434, https://doi.org/10.5194/tc-16-419-2022, https://doi.org/10.5194/tc-16-419-2022, 2022
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Climate models represent the atmosphere, ocean, sea ice, and land with equations of varying complexity and are important tools for understanding changes in global climate. Here, we explore how realistic variations in the equations describing how sea ice melt occurs at the edges (called lateral melting) impact ice and climate. We find that these changes impact the progression of the sea-ice–albedo feedback in the Arctic and so make significant changes to the predicted Arctic sea ice.
Sebastian Landwehr, Michele Volpi, F. Alexander Haumann, Charlotte M. Robinson, Iris Thurnherr, Valerio Ferracci, Andrea Baccarini, Jenny Thomas, Irina Gorodetskaya, Christian Tatzelt, Silvia Henning, Rob L. Modini, Heather J. Forrer, Yajuan Lin, Nicolas Cassar, Rafel Simó, Christel Hassler, Alireza Moallemi, Sarah E. Fawcett, Neil Harris, Ruth Airs, Marzieh H. Derkani, Alberto Alberello, Alessandro Toffoli, Gang Chen, Pablo Rodríguez-Ros, Marina Zamanillo, Pau Cortés-Greus, Lei Xue, Conor G. Bolas, Katherine C. Leonard, Fernando Perez-Cruz, David Walton, and Julia Schmale
Earth Syst. Dynam., 12, 1295–1369, https://doi.org/10.5194/esd-12-1295-2021, https://doi.org/10.5194/esd-12-1295-2021, 2021
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The Antarctic Circumnavigation Expedition surveyed a large number of variables describing the dynamic state of ocean and atmosphere, freshwater cycle, atmospheric chemistry, ocean biogeochemistry, and microbiology in the Southern Ocean. To reduce the dimensionality of the dataset, we apply a sparse principal component analysis and identify temporal patterns from diurnal to seasonal cycles, as well as geographical gradients and
hotspotsof interaction. Code and data are open access.
Hakase Hayashida, Meibing Jin, Nadja S. Steiner, Neil C. Swart, Eiji Watanabe, Russell Fiedler, Andrew McC. Hogg, Andrew E. Kiss, Richard J. Matear, and Peter G. Strutton
Geosci. Model Dev., 14, 6847–6861, https://doi.org/10.5194/gmd-14-6847-2021, https://doi.org/10.5194/gmd-14-6847-2021, 2021
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Ice algae are tiny plants like phytoplankton but they grow within sea ice. In polar regions, both phytoplankton and ice algae are the foundation of marine ecosystems and play an important role in taking up carbon dioxide in the atmosphere. However, state-of-the-art climate models typically do not include ice algae, and therefore their role in the climate system remains unclear. This project aims to address this knowledge gap by coordinating a set of experiments using sea-ice–ocean models.
Alexander D. Fraser, Robert A. Massom, Mark S. Handcock, Phillip Reid, Kay I. Ohshima, Marilyn N. Raphael, Jessica Cartwright, Andrew R. Klekociuk, Zhaohui Wang, and Richard Porter-Smith
The Cryosphere, 15, 5061–5077, https://doi.org/10.5194/tc-15-5061-2021, https://doi.org/10.5194/tc-15-5061-2021, 2021
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Landfast ice is sea ice that remains stationary by attaching to Antarctica's coastline and grounded icebergs. Although a variable feature, landfast ice exerts influence on key coastal processes involving pack ice, the ice sheet, ocean, and atmosphere and is of ecological importance. We present a first analysis of change in landfast ice over an 18-year period and quantify trends (−0.19 ± 0.18 % yr−1). This analysis forms a reference of landfast-ice extent and variability for use in other studies.
Marika M. Holland, David Clemens-Sewall, Laura Landrum, Bonnie Light, Donald Perovich, Chris Polashenski, Madison Smith, and Melinda Webster
The Cryosphere, 15, 4981–4998, https://doi.org/10.5194/tc-15-4981-2021, https://doi.org/10.5194/tc-15-4981-2021, 2021
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As the most reflective and most insulative natural material, snow has important climate effects. For snow on sea ice, its high reflectivity reduces ice melt. However, its high insulating capacity limits ice growth. These counteracting effects make its net influence on sea ice uncertain. We find that with increasing snow, sea ice in both hemispheres is thicker and more extensive. However, the drivers of this response are different in the two hemispheres due to different climate conditions.
Don Perovich, Madison Smith, Bonnie Light, and Melinda Webster
The Cryosphere, 15, 4517–4525, https://doi.org/10.5194/tc-15-4517-2021, https://doi.org/10.5194/tc-15-4517-2021, 2021
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During summer, Arctic sea ice melts on its surface and bottom and lateral edges. Some of this fresh meltwater is stored on the ice surface in features called melt ponds. The rest flows into the ocean. The meltwater flowing into the upper ocean affects ice growth and melt, upper ocean properties, and ocean ecosystems. Using field measurements, we found that the summer meltwater was equal to an 80 cm thick layer; 85 % of this meltwater flowed into the ocean and 15 % was stored in melt ponds.
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).
Richard Porter-Smith, John McKinlay, Alexander D. Fraser, and Robert A. Massom
Earth Syst. Sci. Data, 13, 3103–3114, https://doi.org/10.5194/essd-13-3103-2021, https://doi.org/10.5194/essd-13-3103-2021, 2021
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This study quantifies the characteristic complexity
signaturesaround the Antarctic outer coastal margin, giving a multiscale estimate of the magnitude and direction of undulation or complexity at each point location along the entire coastline. It has numerous applications for both geophysical and biological studies and will contribute to Antarctic research requiring quantitative information about this important interface.
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Editorial statement
This manuscript is relevant for the broader geoscience community and the broader public/media as it discusses in depth the role of waves in ice that goes beyond commonly considered mechanical break up but includes implications for radiation, melting, and biology, and the feedbacks thereof. It thus also discusses critical missing processes in climate models. The manuscript includes recommendations for future research focused in the role of waves in ice that will direct future research projects and cruises. Compelling visuals make the material particularly accessible for a broader public.
This manuscript is relevant for the broader geoscience community and the broader public/media as...
Short summary
This paper advances understanding of why and how Antarctic sea ice can retreat so rapidly each summer, and identifies critical gaps in climate models, by highlighting 3 previously-neglected wave-driven processes and 5 associated feedbacks that accelerate seasonal ice melting and link physics to biology (wave flooding, wave pulverisation and wave greening). There are major implications for Earth’s radiation budget, Antarctic ecosystems and the accuracy of future sea-ice and climate projections.
This paper advances understanding of why and how Antarctic sea ice can retreat so rapidly each...
