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 Ocea...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/10/1680 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850126513654988800 |
|---|---|
| author | Huan Li Jiarui Lian Yu Zhang Hailong Guo Changsheng Chen Weizeng Shao Yi Zhou Deshuai Wang Song Hu |
| author_facet | Huan Li Jiarui Lian Yu Zhang Hailong Guo Changsheng Chen Weizeng Shao Yi Zhou Deshuai Wang Song Hu |
| author_sort | Huan Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a3c57969c98c4cb8941c2da620ca84ca |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-a3c57969c98c4cb8941c2da620ca84ca2025-08-20T02:33:55ZengMDPI AGRemote Sensing2072-42922025-05-011710168010.3390/rs17101680Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite ProductsHuan Li0Jiarui Lian1Yu Zhang2Hailong Guo3Changsheng Chen4Weizeng Shao5Yi Zhou6Deshuai Wang7Song Hu8College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, ChinaCollege of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, ChinaSchool for Marine Science and Technology, University of Massachusetts-Dartmouth, New Bedford, MA 02744, USACollege of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, ChinaSchool of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, ChinaFirst Institute of Oceanography and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, ChinaCollege of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, ChinaCurrently, 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.https://www.mdpi.com/2072-4292/17/10/1680sea ice thicknessarcticthin icesatelliteevaluation |
| spellingShingle | Huan Li Jiarui Lian Yu Zhang Hailong Guo Changsheng Chen Weizeng Shao Yi Zhou Deshuai Wang Song Hu Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products Remote Sensing sea ice thickness arctic thin ice satellite evaluation |
| title | Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products |
| title_full | Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products |
| title_fullStr | Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products |
| title_full_unstemmed | Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products |
| title_short | Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products |
| title_sort | evaluating arctic thin ice thickness retrieved from latest version of multisource satellite products |
| topic | sea ice thickness arctic thin ice satellite evaluation |
| url | https://www.mdpi.com/2072-4292/17/10/1680 |
| work_keys_str_mv | AT huanli evaluatingarcticthinicethicknessretrievedfromlatestversionofmultisourcesatelliteproducts AT jiaruilian evaluatingarcticthinicethicknessretrievedfromlatestversionofmultisourcesatelliteproducts AT yuzhang evaluatingarcticthinicethicknessretrievedfromlatestversionofmultisourcesatelliteproducts AT hailongguo evaluatingarcticthinicethicknessretrievedfromlatestversionofmultisourcesatelliteproducts AT changshengchen evaluatingarcticthinicethicknessretrievedfromlatestversionofmultisourcesatelliteproducts AT weizengshao evaluatingarcticthinicethicknessretrievedfromlatestversionofmultisourcesatelliteproducts AT yizhou evaluatingarcticthinicethicknessretrievedfromlatestversionofmultisourcesatelliteproducts AT deshuaiwang evaluatingarcticthinicethicknessretrievedfromlatestversionofmultisourcesatelliteproducts AT songhu evaluatingarcticthinicethicknessretrievedfromlatestversionofmultisourcesatelliteproducts |