Articles | Volume 18, issue 4
https://doi.org/10.5194/tc-18-1647-2024
© Author(s) 2024. 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-18-1647-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication
| 
09 Apr 2024
Brief communication |
| 09 Apr 2024
| 09 Apr 2024
Brief communication: Identification of 140 000-year-old blue ice in the Grove Mountains, East Antarctica, by krypton-81 dating
Zhengyi Hu
MNR Key Laboratory of Polar Science, Polar Research Institute of China, Shanghai, 200062, China
Wei Jiang
Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
Chinese Academy of Sciences Center for Excellence in Quantum Information and Quantum Physics, School of Physical Sciences, University of Science and Technology of China, Hefei, 230026, China
Yuzhen Yan
State Key Laboratory of Marine Geology, Tongji University, Shanghai, 200092, China
Yan Huang
Key Laboratory of Geographic Information Science, School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
Xueyuan Tang
MNR Key Laboratory of Polar Science, Polar Research Institute of China, Shanghai, 200062, China
Lin Li
MNR Key Laboratory of Polar Science, Polar Research Institute of China, Shanghai, 200062, China
Florian Ritterbusch
Chinese Academy of Sciences Center for Excellence in Quantum Information and Quantum Physics, School of Physical Sciences, University of Science and Technology of China, Hefei, 230026, China
Guo-Min Yang
Chinese Academy of Sciences Center for Excellence in Quantum Information and Quantum Physics, School of Physical Sciences, University of Science and Technology of China, Hefei, 230026, China
Zheng-Tian Lu
Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
Chinese Academy of Sciences Center for Excellence in Quantum Information and Quantum Physics, School of Physical Sciences, University of Science and Technology of China, Hefei, 230026, China
Key Laboratory of Geographic Information Science, School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241, China
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The Cryosphere, 20, 1543–1558, https://doi.org/10.5194/tc-20-1543-2026, https://doi.org/10.5194/tc-20-1543-2026, 2026
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Heat from inside the Earth beneath Antarctica affects how fast ice melts and how quickly the sea level rises, but direct measurements are very limited. We built a data-driven computer model that learns the complex links between geophysical features and geothermal heat flow and reports confidence. We find lower heat flow in East Antarctica and higher heat flow in West Antarctica, especially near coasts.
Chunlei An, Su Jiang, Guitao Shi, Hongmei Ma, Chuanjin Li, Zhe Li, Xiaolong Li, Ye Hu, Yan Liu, Xiao Yan, Ningning Sun, Bo Zhang, Shugui Hou, and Yuansheng Li
EGUsphere, https://doi.org/10.5194/egusphere-2026-769, https://doi.org/10.5194/egusphere-2026-769, 2026
This preprint is open for discussion and under review for Climate of the Past (CP).
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Ningning Sun, Xu Yu, Jian Zhen Yu, Bo Zhang, Yilan Li, Ye Hu, Zhe Li, Zhenlou Chen, and Guitao Shi
Atmos. Chem. Phys., 26, 1699–1712, https://doi.org/10.5194/acp-26-1699-2026, https://doi.org/10.5194/acp-26-1699-2026, 2026
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Atmospheric particles over the ocean contain organic nitrogen, affecting climate and ecosystems. This first pole-to-pole study of marine air reveals a strong latitudinal divide, with higher concentrations in the polluted Northern Hemisphere. A key discovery is that air influenced by Antarctic sea ice is enriched in organic nitrogen, revealing a major natural source. Our new dataset improves climate models by clarifying how human emissions and natural processes shape the atmosphere.
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EGUsphere, https://doi.org/10.5194/egusphere-2025-6487, https://doi.org/10.5194/egusphere-2025-6487, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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We developed a high-resolution computer model to simulate how the ocean, sea ice, and ice shelves interact around Antarctica. This helps us understand their critical role in global climate and sea-level rise. Our model successfully captures essential features like major currents and seasonal ice changes. Despite some remaining biases, it provides a useful tool for predicting future changes in this vital and rapidly evolving region.
Zhengyi Song, Yudi Pan, Jiangtao Li, Hongrui Peng, Yiming Wang, Yuande Yang, Kai Lu, Xueyuan Tang, and Xiaohong Zhang
The Cryosphere, 19, 6341–6353, https://doi.org/10.5194/tc-19-6341-2025, https://doi.org/10.5194/tc-19-6341-2025, 2025
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Obtaining the physical properties of ice sheets is important. In this study, we use seismic ambient noise to obtain the shallow S-wave velocity structure at the Dome A region. The result agrees with the ice-core data nearby and reveals radial anisotropy in the firn layer. This study demonstrates that cultural seismic noise provides an effective and environmentally friendly way for the imaging of near-surface structures in Antarctica.
Robert G. Bingham, Julien A. Bodart, Marie G. P. Cavitte, Ailsa Chung, Rebecca J. Sanderson, Johannes C. R. Sutter, Olaf Eisen, Nanna B. Karlsson, Joseph A. MacGregor, Neil Ross, Duncan A. Young, David W. Ashmore, Andreas Born, Winnie Chu, Xiangbin Cui, Reinhard Drews, Steven Franke, Vikram Goel, John W. Goodge, A. Clara J. Henry, Antoine Hermant, Benjamin H. Hills, Nicholas Holschuh, Michelle R. Koutnik, Gwendolyn J.-M. C. Leysinger Vieli, Emma J. MacKie, Elisa Mantelli, Carlos Martín, Felix S. L. Ng, Falk M. Oraschewski, Felipe Napoleoni, Frédéric Parrenin, Sergey V. Popov, Therese Rieckh, Rebecca Schlegel, Dustin M. Schroeder, Martin J. Siegert, Xueyuan Tang, Thomas O. Teisberg, Kate Winter, Shuai Yan, Harry Davis, Christine F. Dow, Tyler J. Fudge, Tom A. Jordan, Bernd Kulessa, Kenichi Matsuoka, Clara J. Nyqvist, Maryam Rahnemoonfar, Matthew R. Siegfried, Shivangini Singh, Vjeran Višnjević, Rodrigo Zamora, and Alexandra Zuhr
The Cryosphere, 19, 4611–4655, https://doi.org/10.5194/tc-19-4611-2025, https://doi.org/10.5194/tc-19-4611-2025, 2025
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The ice sheets covering Antarctica have built up over millenia through successive snowfall events which become buried and preserved as internal surfaces of equal age detectable with ice-penetrating radar. This paper describes an international initiative working together on these archival data to build a comprehensive 3-D picture of how old the ice is everywhere across Antarctica and how this is being used to reconstruct past and to predict future ice and climate behaviour.
Haifeng Huo, Hui Xu, Jixiu Wu, Tao Li, Jingjin Liu, Enzhao Xiao, and Xueyuan Tang
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This preprint is open for discussion and under review for The Cryosphere (TC).
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Through a series of direct shear tests, this study analyzes the variation of shear strength parameters (cohesion and internal friction angle) in compacted snow under different conditions of density, sintering time, and temperature. A Genetic Algorithm-Back Propagation neural network model was subsequently developed to establish systematic benchmark values for these parameters. This work provides essential data and a predictive framework for the reliable design of snow structures in cold regions.
Rui Li, Xing Liu, Yubing Shen, Yumeng Shao, Yining Gao, Ziwei Yao, Xi Liu, and Guitao Shi
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We reveal for the first time the global variations of PAHs and derivatives in marine air. We found that marine aerosols in East China Sea (ECS) and Western Pacific (WP) were significantly affected by coal and engine combustion, while those in Bismarck Sea (BS) and East Australian Sea (EAS) were mainly influenced by wildfire and coal combustion. The Antarctic Ocean (AO) was dominated by biomass burning and local shipping emissions. This finding helps elucidate the mechanism of the global PAH cycle.
Giyoon Lee, Jinho Ahn, Hyeontae Ju, Ikumi Oyabu, Florian Ritterbusch, Songyi Kim, Jangil Moon, Joohan Lee, Yeongcheol Han, Soon Do Hur, Kenji Kawamura, Zheng-Tian Lu, Wei Jiang, and Guo-Min Yang
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Jiahui Xu, Yao Tang, Linxin Dong, Shujie Wang, Bailang Yu, Jianping Wu, Zhaojun Zheng, and Yan Huang
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Marie Bouchet, Amaëlle Landais, Antoine Grisart, Frédéric Parrenin, Frédéric Prié, Roxanne Jacob, Elise Fourré, Emilie Capron, Dominique Raynaud, Vladimir Ya Lipenkov, Marie-France Loutre, Thomas Extier, Anders Svensson, Etienne Legrain, Patricia Martinerie, Markus Leuenberger, Wei Jiang, Florian Ritterbusch, Zheng-Tian Lu, and Guo-Min Yang
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A new federative chronology for five deep polar ice cores retrieves 800 000 years of past climate variations with improved accuracy. Precise ice core timescales are key to studying the mechanisms linking changes in the Earth’s orbit to the diverse climatic responses (temperature and atmospheric greenhouse gas concentrations). To construct the chronology, new measurements from the oldest continuous ice core as well as glaciological modeling estimates were combined in a statistical model.
Yan Huang, Jiahui Xu, Jingyi Xu, Yelei Zhao, Bailang Yu, Hongxing Liu, Shujie Wang, Wanjia Xu, Jianping Wu, and Zhaojun Zheng
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Reliable snow cover information is important for understating climate change and hydrological cycling. We generate long-term daily gap-free snow products over the Tibetan Plateau (TP) at 500 m resolution from 2002 to 2021 based on the hidden Markov random field model. The accuracy is 91.36 %, and is especially improved during snow transitional period and over complex terrains. This dataset has great potential to study climate change and to facilitate water resource management in the TP.
Giyoon Lee, Jinho Ahn, Hyeontae Ju, Florian Ritterbusch, Ikumi Oyabu, Christo Buizert, Songyi Kim, Jangil Moon, Sambit Ghosh, Kenji Kawamura, Zheng-Tian Lu, Sangbum Hong, Chang Hee Han, Soon Do Hur, Wei Jiang, and Guo-Min Yang
The Cryosphere, 16, 2301–2324, https://doi.org/10.5194/tc-16-2301-2022, https://doi.org/10.5194/tc-16-2301-2022, 2022
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Blue-ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the area hinders constraining the age. We applied state-of-the-art techniques and found that the ages cover the last deglaciation period. Our study demonstrates that the BIA in northern Victoria Land may help reconstruct the past climate during the termination of the last glacial period.
Lin Li, Aiguo Zhao, Tiantian Feng, Xiangbin Cui, Lu An, Ben Xu, Shinan Lang, Liwen Jing, Tong Hao, Jingxue Guo, Bo Sun, and Rongxing Li
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-332, https://doi.org/10.5194/tc-2021-332, 2021
Preprint withdrawn
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No subglacial lakes have been reported in Princess Elizabeth Land (PEL), East Antarctica. In this study, thanks to a new suite of airborne geophysical observations in PEL, including RES and gravity data collected during the Chinese National Antarctic Research Expedition, we detected a large subglacial lake of ~45 km in length, ~11 km in width, and ~250 m in depth. These findings will help us understand ice sheet stability in the PEL region.
X. Cui, S. Lang, L. Li, and B. Sun
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 449–453, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-449-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-449-2021, 2021
Song Shu, Hongxing Liu, Richard A. Beck, Frédéric Frappart, Johanna Korhonen, Minxuan Lan, Min Xu, Bo Yang, and Yan Huang
Hydrol. Earth Syst. Sci., 25, 1643–1670, https://doi.org/10.5194/hess-25-1643-2021, https://doi.org/10.5194/hess-25-1643-2021, 2021
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This study comprehensively evaluated 11 satellite radar altimetry missions (including their official retrackers) for lake water level retrieval and developed a strategy for constructing consistent long-term water level records for inland lakes. It is a two-step bias correction and normalization procedure. First, we use Jason-2 as the initial reference to form a consistent TOPEX/Poseidon–Jason series. Then, we use this as the reference to remove the biases with other radar altimetry missions.
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Short summary
The age of the surface blue ice in the Grove Mountains area is dated to be about 140 000 years, and one meteorite found here is 260 000 years old. It is inferred that the Grove Mountains blue-ice area holds considerable potential for paleoclimate studies.
The age of the surface blue ice in the Grove Mountains area is dated to be about 140 000 years,...
