Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products

Currently, the performance of sea ice thickness (SIT) data retrieved from multisource satellite products in the Arctic seasonal ice zones remains unclear. This study presented the spatiotemporal intercomparison and evaluation of satellite data, including the latest versions of Soil Moisture and Ocean Salinity (SMOS), CryoSat-2, combined CryoSat-2 and SMOS (CS2SMOS), and Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2), specifically focusing on area with mean SIT below 0.5 m. Five evaluation datasets were used. During 2010–2023, SMOS had the smallest mean SIT, with CryoSat-2 showing the largest mean SIT. During 2018–2023, with the inclusion of ICESat-2, SMOS still showed the smallest mean SIT. CryoSat-2 exhibited the largest mean SIT, followed by ICESat-2, CS2SMOS ranked third. Evaluation results indicated that four satellite products generally underestimated SIT. In two periods, SMOS consistently exhibited the weakest performance, which showed a large gap from what was expected in previous studies. In contrast, CS2SMOS demonstrated the highest alignment with five evaluation datasets during 2010–2023, indicating the best overall performance. During 2018–2023, ICESat-2 exhibited the best overall performance with two evaluation datasets. This study refreshes previous knowledge about SMOS in the seasonal ice zones and contributes to further improvements in SIT retrieval.

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Publication Details

Journal
Remote Sensing
Published
2025-05-10
DOI
https://doi.org/10.3390/rs17101680
Citations
1
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
1.30

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article

Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products

Song Hu, Deshuai Wang, Hailong Guo, Weizeng Shao et al.
1 citations
Remote Sensing
Arctic and Antarctic ice dynamics
1.30
article

Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products

Song Hu, Deshuai Wang, Hailong Guo, Weizeng Shao, Huan Li, Yu Zhang, Changsheng Chen, Jie Lian, Yi Zhou
article en
1 citations

Abstract

Currently, the performance of sea ice thickness (SIT) data retrieved from multisource satellite products in the Arctic seasonal ice zones remains unclear. This study presented the spatiotemporal intercomparison and evaluation of satellite data, including the latest versions of Soil Moisture and Ocean Salinity (SMOS), CryoSat-2, combined CryoSat-2 and SMOS (CS2SMOS), and Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2), specifically focusing on area with mean SIT below 0.5 m. Five evaluation datasets were used. During 2010–2023, SMOS had the smallest mean SIT, with CryoSat-2 showing the largest mean SIT. During 2018–2023, with the inclusion of ICESat-2, SMOS still showed the smallest mean SIT. CryoSat-2 exhibited the largest mean SIT, followed by ICESat-2, CS2SMOS ranked third. Evaluation results indicated that four satellite products generally underestimated SIT. In two periods, SMOS consistently exhibited the weakest performance, which showed a large gap from what was expected in previous studies. In contrast, CS2SMOS demonstrated the highest alignment with five evaluation datasets during 2010–2023, indicating the best overall performance. During 2018–2023, ICESat-2 exhibited the best overall performance with two evaluation datasets. This study refreshes previous knowledge about SMOS in the seasonal ice zones and contributes to further improvements in SIT retrieval.

Remote SensingVol. 17(10)
University of Massachusetts Dartmouth (US), National University of Defense Technology (CN), Shanghai Jiao Tong University (CN), Ministry of Natural Resources (CN), First Institute of Oceanography (CN), Shanghai Ocean University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 23%
Arctic and Antarctic ice dynamics
1.30
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