Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4757-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-4757-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
25 Sep 2025
Data description paper |
| 25 Sep 2025
| 25 Sep 2025
Daily 1 km seamless Antarctic sea ice albedo product from 2012 to 2021 based on VIIRS data
Chao Ma
Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China
Weifeng Hao
CORRESPONDING AUTHOR
Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China
The Key Laboratory of Polar Environment Monitoring and Public Governance (Wuhan University), Ministry of Education, Wuhan 430079, China
Qing Cheng
School of Computer Science, China University of Geoscience, Wuhan 430074, China
Fan Ye
School of Computer Science, China University of Geoscience, Wuhan 430074, China
Ying Qu
School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
Jiabo Yin
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430079, China
School of Artificial Intelligence, Wuhan University, Wuhan 430079, China
Haojian Wu
Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China
Fei Li
CORRESPONDING AUTHOR
Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China
The Key Laboratory of Polar Environment Monitoring and Public Governance (Wuhan University), Ministry of Education, Wuhan 430079, China
The Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, 518055, China
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Jiabo Yin, Louise J. Slater, Abdou Khouakhi, Le Yu, Pan Liu, Fupeng Li, Yadu Pokhrel, and Pierre Gentine
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Earth Syst. Sci. Data, 14, 5671–5694, https://doi.org/10.5194/essd-14-5671-2022, https://doi.org/10.5194/essd-14-5671-2022, 2022
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Yu Zhang, Tingting Zhu, Gunnar Spreen, Christian Melsheimer, Marcus Huntemann, Nick Hughes, Shengkai Zhang, and Fei Li
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We developed an algorithm for ice-water classification using Sentinel-1 data during melting seasons in the Fram Strait. The proposed algorithm has the OA of nearly 90 % with STD less than 10 %. The comparison of sea ice concentration demonstrate that it can provide detailed information of sea ice with the spatial resolution of 1km. The time series shows the average June to September sea ice area does not change so much in 2015–2017 and 2019–2020, but it has a significant decrease in 2018.
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Short summary
Antarctic sea ice albedo is a key factor influencing the global energy balance. Here we present a daily 1 km shortwave albedo product for Antarctic sea ice from 2012 to 2021, based on Visible Infrared Imaging Radiometer Suite (VIIRS) reflectance data. The albedo for missing pixels due to cloud cover was also reconstructed. This dataset can be used to assess changes in Antarctic sea ice, radiation budget, and the strength of sea ice albedo feedback, as well as their potential interconnections.
Antarctic sea ice albedo is a key factor influencing the global energy balance. Here we present...
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