Daily Sea Ice Concentration Product over Polar Regions Based on Brightness Temperature Data from the HY-2B SMR Sensor
Polar sea ice profoundly affects atmospheric and oceanic circulation and plays a significant role in climate change. Sea ice concentration (SIC) is a key geophysical parameter used to quantify these changes. In this study, we determined SIC products for the Arctic and Antarctic from 2019 to 2021 usi...
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ftmdpi:oai:mdpi.com:/2072-4292/15/6/1692/ 2023-08-20T04:00:54+02:00 Daily Sea Ice Concentration Product over Polar Regions Based on Brightness Temperature Data from the HY-2B SMR Sensor Suhui Wu Lijian Shi Bin Zou Tao Zeng Zhaoqing Dong Dunwang Lu agris 2023-03-21 application/pdf https://doi.org/10.3390/rs15061692 EN eng Multidisciplinary Digital Publishing Institute Satellite Missions for Earth and Planetary Exploration https://dx.doi.org/10.3390/rs15061692 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 15; Issue 6; Pages: 1692 sea ice concentration HY-2B bootstrap Arctic Antarctic Text 2023 ftmdpi https://doi.org/10.3390/rs15061692 2023-08-01T09:22:09Z Polar sea ice profoundly affects atmospheric and oceanic circulation and plays a significant role in climate change. Sea ice concentration (SIC) is a key geophysical parameter used to quantify these changes. In this study, we determined SIC products for the Arctic and Antarctic from 2019 to 2021 using data from the Chinese marine satellite Haiyang 2B (HY-2B) with an improved bootstrap algorithm. Then the results were compared with similar operational SIC products and ship-based data. Our findings demonstrate the effectiveness of the improved algorithm for accurately determining SIC in polar regions. Additionally, the results of the study demonstrate that the SIC product obtained through the improved bootstrap algorithm has a high correlation with other similar SIC products. The daily average SIC of the different products showed similar inter-annual trends for both the Arctic and Antarctic regions. Comparison of the different SIC products showed that the Arctic BT-SMR SIC was slightly lower than the BT-SSMIS and BT-AMSR2 SIC products, while the difference between Antarctic SIC products was more pronounced. The lowest MAE was between the BT-SSMIS SIC and BT-SMR SIC in both regions, while the largest MAE was between the NT-SMR and BT-SMR in the Arctic, and between the NT-SSMIS and BT-SMR in the Antarctic. The SIE and SIA time series showed consistent trends, with a greater difference in SIA than SIC and a slight difference in SIA between the BT-AMSR2 and BT-SMR in the Arctic. Evaluation of the different SIC products using ship-based observation data showed a high correlation between the BT-SMR SIC and the ship-based SIC of approximately 0.85 in the Arctic and 0.88 in the Antarctic. The time series of dynamic tie-points better reflected the seasonal variation in sea ice radiation characteristics. This study lays the foundation for the release of long-term SIC product series from the Chinese autonomous HY-2B satellite, which will ensure the continuity of polar sea ice records over the past 40 years despite potential ... Text Antarc* Antarctic Arctic Climate change Sea ice MDPI Open Access Publishing Arctic Antarctic The Antarctic Remote Sensing 15 6 1692 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
sea ice concentration HY-2B bootstrap Arctic Antarctic |
spellingShingle |
sea ice concentration HY-2B bootstrap Arctic Antarctic Suhui Wu Lijian Shi Bin Zou Tao Zeng Zhaoqing Dong Dunwang Lu Daily Sea Ice Concentration Product over Polar Regions Based on Brightness Temperature Data from the HY-2B SMR Sensor |
topic_facet |
sea ice concentration HY-2B bootstrap Arctic Antarctic |
description |
Polar sea ice profoundly affects atmospheric and oceanic circulation and plays a significant role in climate change. Sea ice concentration (SIC) is a key geophysical parameter used to quantify these changes. In this study, we determined SIC products for the Arctic and Antarctic from 2019 to 2021 using data from the Chinese marine satellite Haiyang 2B (HY-2B) with an improved bootstrap algorithm. Then the results were compared with similar operational SIC products and ship-based data. Our findings demonstrate the effectiveness of the improved algorithm for accurately determining SIC in polar regions. Additionally, the results of the study demonstrate that the SIC product obtained through the improved bootstrap algorithm has a high correlation with other similar SIC products. The daily average SIC of the different products showed similar inter-annual trends for both the Arctic and Antarctic regions. Comparison of the different SIC products showed that the Arctic BT-SMR SIC was slightly lower than the BT-SSMIS and BT-AMSR2 SIC products, while the difference between Antarctic SIC products was more pronounced. The lowest MAE was between the BT-SSMIS SIC and BT-SMR SIC in both regions, while the largest MAE was between the NT-SMR and BT-SMR in the Arctic, and between the NT-SSMIS and BT-SMR in the Antarctic. The SIE and SIA time series showed consistent trends, with a greater difference in SIA than SIC and a slight difference in SIA between the BT-AMSR2 and BT-SMR in the Arctic. Evaluation of the different SIC products using ship-based observation data showed a high correlation between the BT-SMR SIC and the ship-based SIC of approximately 0.85 in the Arctic and 0.88 in the Antarctic. The time series of dynamic tie-points better reflected the seasonal variation in sea ice radiation characteristics. This study lays the foundation for the release of long-term SIC product series from the Chinese autonomous HY-2B satellite, which will ensure the continuity of polar sea ice records over the past 40 years despite potential ... |
format |
Text |
author |
Suhui Wu Lijian Shi Bin Zou Tao Zeng Zhaoqing Dong Dunwang Lu |
author_facet |
Suhui Wu Lijian Shi Bin Zou Tao Zeng Zhaoqing Dong Dunwang Lu |
author_sort |
Suhui Wu |
title |
Daily Sea Ice Concentration Product over Polar Regions Based on Brightness Temperature Data from the HY-2B SMR Sensor |
title_short |
Daily Sea Ice Concentration Product over Polar Regions Based on Brightness Temperature Data from the HY-2B SMR Sensor |
title_full |
Daily Sea Ice Concentration Product over Polar Regions Based on Brightness Temperature Data from the HY-2B SMR Sensor |
title_fullStr |
Daily Sea Ice Concentration Product over Polar Regions Based on Brightness Temperature Data from the HY-2B SMR Sensor |
title_full_unstemmed |
Daily Sea Ice Concentration Product over Polar Regions Based on Brightness Temperature Data from the HY-2B SMR Sensor |
title_sort |
daily sea ice concentration product over polar regions based on brightness temperature data from the hy-2b smr sensor |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15061692 |
op_coverage |
agris |
geographic |
Arctic Antarctic The Antarctic |
geographic_facet |
Arctic Antarctic The Antarctic |
genre |
Antarc* Antarctic Arctic Climate change Sea ice |
genre_facet |
Antarc* Antarctic Arctic Climate change Sea ice |
op_source |
Remote Sensing; Volume 15; Issue 6; Pages: 1692 |
op_relation |
Satellite Missions for Earth and Planetary Exploration https://dx.doi.org/10.3390/rs15061692 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs15061692 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
6 |
container_start_page |
1692 |
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1774721119777980416 |