Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer
Reliable estimation and initialization of Arctic sea-ice thickness (SIT) through data assimilation (DA) during the summer melt season were previously hampered by the lack of available observations owing to limitations in satellite retrieval algorithms. Recently, successful satellite-derived Arctic S...
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10965907/ |
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| author | Jeong-Gil Lee Daehyun Kang Joo-Hong Kim Jong-Min Kim Sang-Moo Lee Yoo-Geun Ham |
| author_facet | Jeong-Gil Lee Daehyun Kang Joo-Hong Kim Jong-Min Kim Sang-Moo Lee Yoo-Geun Ham |
| author_sort | Jeong-Gil Lee |
| collection | DOAJ |
| description | Reliable estimation and initialization of Arctic sea-ice thickness (SIT) through data assimilation (DA) during the summer melt season were previously hampered by the lack of available observations owing to limitations in satellite retrieval algorithms. Recently, successful satellite-derived Arctic SIT measurements from CryoSat-2 (CS2) and advanced microwave scanning radiometer 2 (AMSR2) during the boreal summer have been achieved using advanced retrieval algorithms. This study compares the impacts of CS2 and AMSR2 SIT datasets by individually assimilating each dataset using the ensemble optimal interpolation DA technique with CICE 5 dynamical sea-ice model in 2019 and 2020. The underestimated sea-ice extent in the control simulation without DA during summer was effectively corrected in the reanalysis assimilating AMSR2. However, the degree of correction was less pronounced in the reanalysis assimilating CS2. A sensitivity experiment confirmed that the weak correction degree when using CS2 was not due to its low spatiotemporal resolution, suggesting that the issues may arise from a systematic negative bias related to ice roughness over the central Arctic Ocean in CS2. During the summer and subsequent sea-ice growing seasons, the simulated SIT in the DA of AMSR2 shows greater similarity with independent reanalysis and satellite data than that of CS2. Validations against SIT observations measured by ice mass balance and upward-looking sonar indicate that the DA of AMSR2 effectively enhances the day-to-day variability compared with CS2 and control simulations during both the summer and subsequent winter seasons. This study underscores the response of the model to assimilating current satellite summer SIT data and highlights the factors to consider when utilizing these data. |
| format | Article |
| id | doaj-art-524e5ae9aef64b0fab9aa75049f18ff1 |
| institution | OA Journals |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-524e5ae9aef64b0fab9aa75049f18ff12025-08-20T02:28:19ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118113301134110.1109/JSTARS.2025.356125710965907Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal SummerJeong-Gil Lee0https://orcid.org/0000-0001-6233-2850Daehyun Kang1https://orcid.org/0000-0003-3284-1245Joo-Hong Kim2https://orcid.org/0000-0003-3087-9864Jong-Min Kim3https://orcid.org/0000-0002-7852-4758Sang-Moo Lee4https://orcid.org/0000-0002-3560-7908Yoo-Geun Ham5https://orcid.org/0000-0002-0236-6968Environmental Planning Institute, Seoul National University, Seoul, South KoreaCenter for Climate and Carbon Cycle Research, Korea Institute of Science and Technology, Seoul, South KoreaDivision of Ocean and Atmosphere Sciences, Korea Polar Research Institute, Incheon, South KoreaCenter of Remote Sensing and GIS, Korea Polar Research Institute, Incheon, South KoreaSchool of Earth and Environmental Sciences and the Institute for Data Innovation in Science, Seoul National University, Seoul, South KoreaDepartment of Environmental Managements, Graduate School of Environmental Studies, Seoul National University, Seoul, South KoreaReliable estimation and initialization of Arctic sea-ice thickness (SIT) through data assimilation (DA) during the summer melt season were previously hampered by the lack of available observations owing to limitations in satellite retrieval algorithms. Recently, successful satellite-derived Arctic SIT measurements from CryoSat-2 (CS2) and advanced microwave scanning radiometer 2 (AMSR2) during the boreal summer have been achieved using advanced retrieval algorithms. This study compares the impacts of CS2 and AMSR2 SIT datasets by individually assimilating each dataset using the ensemble optimal interpolation DA technique with CICE 5 dynamical sea-ice model in 2019 and 2020. The underestimated sea-ice extent in the control simulation without DA during summer was effectively corrected in the reanalysis assimilating AMSR2. However, the degree of correction was less pronounced in the reanalysis assimilating CS2. A sensitivity experiment confirmed that the weak correction degree when using CS2 was not due to its low spatiotemporal resolution, suggesting that the issues may arise from a systematic negative bias related to ice roughness over the central Arctic Ocean in CS2. During the summer and subsequent sea-ice growing seasons, the simulated SIT in the DA of AMSR2 shows greater similarity with independent reanalysis and satellite data than that of CS2. Validations against SIT observations measured by ice mass balance and upward-looking sonar indicate that the DA of AMSR2 effectively enhances the day-to-day variability compared with CS2 and control simulations during both the summer and subsequent winter seasons. This study underscores the response of the model to assimilating current satellite summer SIT data and highlights the factors to consider when utilizing these data.https://ieeexplore.ieee.org/document/10965907/Advanced microwave scanning radiometer 2 (AMSR2)CryoSat-2 (CS2)data assimilation (DA)sea-ice thickness (SIT)summer sea ice |
| spellingShingle | Jeong-Gil Lee Daehyun Kang Joo-Hong Kim Jong-Min Kim Sang-Moo Lee Yoo-Geun Ham Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Advanced microwave scanning radiometer 2 (AMSR2) CryoSat-2 (CS2) data assimilation (DA) sea-ice thickness (SIT) summer sea ice |
| title | Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer |
| title_full | Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer |
| title_fullStr | Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer |
| title_full_unstemmed | Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer |
| title_short | Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer |
| title_sort | data assimilation of satellite derived arctic sea ice thickness during boreal summer |
| topic | Advanced microwave scanning radiometer 2 (AMSR2) CryoSat-2 (CS2) data assimilation (DA) sea-ice thickness (SIT) summer sea ice |
| url | https://ieeexplore.ieee.org/document/10965907/ |
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