Application of HY-2B Satellite Data to Retrieve Snow Depth on Antarctic Sea Ice
Sea ice and its surface snow are crucial components of the energy cycle and mass balance between the atmosphere and ocean, serving as sensitive indicators of climate change. Observing and understanding changes in snow depth on Antarctic sea ice are essential for sea ice research and global climate c...
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ftdoajarticles:oai:doaj.org/article:10479e6ef91144b5a9870225a9e35131 2024-10-13T14:01:19+00:00 Application of HY-2B Satellite Data to Retrieve Snow Depth on Antarctic Sea Ice Qing Ji Nana Liu Mengqin Yu Zhiming Zhang Zehui Xiao Xiaoping Pang 2024-09-01T00:00:00Z https://doi.org/10.3390/rs16173253 https://doaj.org/article/10479e6ef91144b5a9870225a9e35131 EN eng MDPI AG https://www.mdpi.com/2072-4292/16/17/3253 https://doaj.org/toc/2072-4292 doi:10.3390/rs16173253 2072-4292 https://doaj.org/article/10479e6ef91144b5a9870225a9e35131 Remote Sensing, Vol 16, Iss 17, p 3253 (2024) snow depth sea ice HY-2B passive microwave remote sensing Antarctic Science Q article 2024 ftdoajarticles https://doi.org/10.3390/rs16173253 2024-09-17T16:00:44Z Sea ice and its surface snow are crucial components of the energy cycle and mass balance between the atmosphere and ocean, serving as sensitive indicators of climate change. Observing and understanding changes in snow depth on Antarctic sea ice are essential for sea ice research and global climate change studies. This study explores the feasibility of retrieving snow depth on Antarctic sea ice using data from the Chinese marine satellite HY-2B. Using generic retrieval algorithms, snow depth on Antarctic sea ice was retrieved from HY-2B Scanning Microwave Radiometer (SMR) data, and compared with existing snow depth products derived from other microwave radiometer data. A comparison against ship-based snow depth measurements from the Chinese 35th Antarctic Scientific Expedition shows that snow depth derived from HY-2B SMR data using the Comiso03 retrieval algorithm exhibits the lowest RMSD, with a deviation of −1.9 cm compared to the Markus98 and Shen22 models. The snow depth derived using the Comiso03 model from HY-2B SMR shows agreement with the GCOM-W1 AMSR-2 snow depth product released by the National Snow and Ice Data Center (NSIDC). Differences between the two primarily occur during the sea ice ablation and in the Bellingshausen Sea, Amundsen Sea, and the southern Pacific Ocean. In 2019, the monthly average snow depth on Antarctic sea ice reached its maximum in January (36.2 cm) and decreased to its minimum in May (15.3 cm). Thicker snow cover was observed in the Weddell Sea, Ross Sea, and Bellingshausen and Amundsen seas, primarily due to the presence of multi-year ice, while thinner snow cover was found in the southern Indian Ocean and the southern Pacific Ocean. The derived snow depth product from HY-2B SMR data demonstrates high accuracy in retrieving snow depth on Antarctic sea ice, highlighting its potential as a reliable alternative for snow depth measurements. This product significantly contributes to observing and understanding changes in snow depth on Antarctic sea ice and its relationship with ... Article in Journal/Newspaper Amundsen Sea Antarc* Antarctic Bellingshausen Sea National Snow and Ice Data Center Ross Sea Sea ice Weddell Sea Directory of Open Access Journals: DOAJ Articles Amundsen Sea Antarctic Bellingshausen Sea Indian Pacific Ross Sea Weddell Weddell Sea Remote Sensing 16 17 3253 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
snow depth sea ice HY-2B passive microwave remote sensing Antarctic Science Q |
spellingShingle |
snow depth sea ice HY-2B passive microwave remote sensing Antarctic Science Q Qing Ji Nana Liu Mengqin Yu Zhiming Zhang Zehui Xiao Xiaoping Pang Application of HY-2B Satellite Data to Retrieve Snow Depth on Antarctic Sea Ice |
topic_facet |
snow depth sea ice HY-2B passive microwave remote sensing Antarctic Science Q |
description |
Sea ice and its surface snow are crucial components of the energy cycle and mass balance between the atmosphere and ocean, serving as sensitive indicators of climate change. Observing and understanding changes in snow depth on Antarctic sea ice are essential for sea ice research and global climate change studies. This study explores the feasibility of retrieving snow depth on Antarctic sea ice using data from the Chinese marine satellite HY-2B. Using generic retrieval algorithms, snow depth on Antarctic sea ice was retrieved from HY-2B Scanning Microwave Radiometer (SMR) data, and compared with existing snow depth products derived from other microwave radiometer data. A comparison against ship-based snow depth measurements from the Chinese 35th Antarctic Scientific Expedition shows that snow depth derived from HY-2B SMR data using the Comiso03 retrieval algorithm exhibits the lowest RMSD, with a deviation of −1.9 cm compared to the Markus98 and Shen22 models. The snow depth derived using the Comiso03 model from HY-2B SMR shows agreement with the GCOM-W1 AMSR-2 snow depth product released by the National Snow and Ice Data Center (NSIDC). Differences between the two primarily occur during the sea ice ablation and in the Bellingshausen Sea, Amundsen Sea, and the southern Pacific Ocean. In 2019, the monthly average snow depth on Antarctic sea ice reached its maximum in January (36.2 cm) and decreased to its minimum in May (15.3 cm). Thicker snow cover was observed in the Weddell Sea, Ross Sea, and Bellingshausen and Amundsen seas, primarily due to the presence of multi-year ice, while thinner snow cover was found in the southern Indian Ocean and the southern Pacific Ocean. The derived snow depth product from HY-2B SMR data demonstrates high accuracy in retrieving snow depth on Antarctic sea ice, highlighting its potential as a reliable alternative for snow depth measurements. This product significantly contributes to observing and understanding changes in snow depth on Antarctic sea ice and its relationship with ... |
format |
Article in Journal/Newspaper |
author |
Qing Ji Nana Liu Mengqin Yu Zhiming Zhang Zehui Xiao Xiaoping Pang |
author_facet |
Qing Ji Nana Liu Mengqin Yu Zhiming Zhang Zehui Xiao Xiaoping Pang |
author_sort |
Qing Ji |
title |
Application of HY-2B Satellite Data to Retrieve Snow Depth on Antarctic Sea Ice |
title_short |
Application of HY-2B Satellite Data to Retrieve Snow Depth on Antarctic Sea Ice |
title_full |
Application of HY-2B Satellite Data to Retrieve Snow Depth on Antarctic Sea Ice |
title_fullStr |
Application of HY-2B Satellite Data to Retrieve Snow Depth on Antarctic Sea Ice |
title_full_unstemmed |
Application of HY-2B Satellite Data to Retrieve Snow Depth on Antarctic Sea Ice |
title_sort |
application of hy-2b satellite data to retrieve snow depth on antarctic sea ice |
publisher |
MDPI AG |
publishDate |
2024 |
url |
https://doi.org/10.3390/rs16173253 https://doaj.org/article/10479e6ef91144b5a9870225a9e35131 |
geographic |
Amundsen Sea Antarctic Bellingshausen Sea Indian Pacific Ross Sea Weddell Weddell Sea |
geographic_facet |
Amundsen Sea Antarctic Bellingshausen Sea Indian Pacific Ross Sea Weddell Weddell Sea |
genre |
Amundsen Sea Antarc* Antarctic Bellingshausen Sea National Snow and Ice Data Center Ross Sea Sea ice Weddell Sea |
genre_facet |
Amundsen Sea Antarc* Antarctic Bellingshausen Sea National Snow and Ice Data Center Ross Sea Sea ice Weddell Sea |
op_source |
Remote Sensing, Vol 16, Iss 17, p 3253 (2024) |
op_relation |
https://www.mdpi.com/2072-4292/16/17/3253 https://doaj.org/toc/2072-4292 doi:10.3390/rs16173253 2072-4292 https://doaj.org/article/10479e6ef91144b5a9870225a9e35131 |
op_doi |
https://doi.org/10.3390/rs16173253 |
container_title |
Remote Sensing |
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16 |
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17 |
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3253 |
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