第一/通讯作者文章(*为通讯作者 #为共同一作)：

13. Rui Xu, Qian Shi*, Qinghua Yang, Jiping Liu, Jie Su, Matti Leppäranta, 2025: Arctic Sea Ice Seasonal Melt-Freeze Transitions Observed by ASCAT From 2007 to 2022, Journal of Geophysical Research: Atmospheres, 130(20), e2024JD043176, https://doi.org/10.1029/2024JD043176. 

12. Fei Shi, Qian Shi*, Yiyong Luo, Renhao Wu, et al., 2025: Meridional shift of Southern Ocean mesoscale eddies since the 1990s, Advances in Atmospheric Sciences, https://doi.org/10.1007/s00376-024-4294-4. 

11. Qian Shi, Fei Shi, Rui Xu*, Matti Leppäranta et al., 2024: Improved method for retrieving Arctic summer sea ice velocity based on FY-3D/MWRI brightness temperatures, International Journal of Digital Earth, 17(1), https://doi.org/10.1080/17538947.2024.2420411.

10. Qian Shi, Qinghua Yang, Jiping Liu, Qizhen Sun*, 2024: Improved Arctic sea-ice motion in summer from the brightness temperature of the AMSR2 36GHz channel, International Journal of Digital Earth, 17(1): 2311317, https://doi.org/10.1080/17538947.2024.2311317.

9. Wenxiu Zhong, Qian Shi* et al., 2024: Wintertime Arctic sea ice decline related to multi-year La Niña events, Advances in Atmospheric Sciences, https://doi.org/10.1007/s00376-024-3194-y. 

8. Linxin Zhang, Qian Shi* et al., 2024: Estimating winter Arctic sea ice motion based on random forest models, Remote Sensing, 16(3), 581, https://doi.org/10.3390/rs16030581. 

7. Yichen Lin, …, Qian Shi* et al., 2023: A volume‐conserved approach to estimating sea‐ice production in Antarctic polynyas, Geophysical Research Letters, 50(4), https://doi.org/10.1029/2022GL101859. 

6. Qian Shi, Jie Su*, Gunnar Spreen, Qinghua Yang, 2022: An Improved Sea-Ice velocity retrieval algorithm based on 89 GHz brightness temperature satellite data in the Fram Strait, Earth and Space Science, 9(6), https://doi.org/10.1029/2021EA002170

5. Jinfei Wang, …, Qian Shi* et al., 2022: A comparison between Envisat and ICESat sea ice thickness in the Southern Ocean, The Cryosphere, 16(10), 4473-4490, https://doi.org/10.5194/tc-16-4473-2022.

4. Qian Shi, Qinghua Yang*, Longjiang Mu*, Jinfei Wang, François Massonnet, Matthew R. Mazloff, 2021: Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea, The Cryosphere, 15(1): 31-47, doi: 10.5194/tc-15-31-2021.

3. Qian Shi, Jie Su*, Georg Heygster, ., 2020: Step-by-Step validation of Antarctic ASI AMSR-E sea-ice concentrations by MODIS and an Aerial image, IEEE Transactions on Geoscience and Remote Sensing, 59(1): 392- 403, https://doi.org/10.1109/TGRS.2020.2989037. 

2. 施骞，苏洁*，2020：三种国际主流的北极卫星遥感冰速产品评估和分析，遥感学报，24(7): 867-882, https://doi.org/10.11834/jrs.20209038. 

1. Qian Shi et al., 2018: Retrieval and Validation of Sea Ice Concentration from AMSR-E/AMSR2 in Polar Regions, IEEE International Geoscience and Remote Sensing Symposium, https://doi.org/10.1109/IGARSS.2018.8518127. 

合作作者文章：

11. Lijuan Lu, Qinghua Yang*, Marcus Gutjahr, Qian Shi, …, Shuh-Ji Kao*, 2025: Decoupled Antarctic and Subarctic export productivity under intensified Southern Hemisphere westerlies during the last interglacial, Nature Communications, 16, 11427, 2537, https://doi.org/10.1038/s41467-025-66289-4.

10. Xiaochun Zhai, …, Qian Shi, et al., 2025: Intercomparison of Ku- and C-Band Backscatter Feature Parameters for Arctic Sea Ice Using Spaceborne FengYun-3E WindRAD Scatterometer, IEEE Transactions on Geoscience and Remote Sensing, 63, https://doi.org/10.1109/TGRS.2025.3632199.

9. Ziqi Ma, Qinghua Yang, Yue Xu, Xiaoran Dong, Qian Shi, …, Yafei Nie*, 2025: Reconstruction of Antarctic sea ice thickness from sparse satellite laser altimetry data via deep learning, Scientific Data, https://doi.org/10.1038/s41597-025-06390-x.

8. Qiaoqiao Zhang, Hao Luo*, Chao Min, Yongwu Xiu, Qian Shi, Qinghua Yang, 2023: Evaluation of Arctic sea ice thickness from a parameter-optimized Arctic Sea Ice-Ocean Model, Remote Sensing, 15(10), 2537, https://doi.org/10.3390/rs15102537.

7. Jinfei Wang, Hao Luo*, Qinghua Yang, Jiping Liu, Lejiang Yu, Qian Shi, Bo Han, 2022: An unprecedented record low Antarctic sea-ice extent during austral summer 2022, Advances in Atmospheric Sciences,1591-1597, https://doi.org/10.1007/s00376-022-2087-1. 

6. Sutao Liao, Hao Luo*, Jinfei Wang, Qian Shi et al., 2022: An evaluation of Antarctic sea-ice thickness from the Global Ice-Ocean Modeling and Assimilation System based on in situ and satellite observations, The Cryosphere, 16(5): 1807-1819 https://doi.org/10.5194/tc-16-1807-2022.

5. 林丽金，史久新*，…，施骞, 2022：南极威德尔-斯科舍汇流区上层湍流混合特征及其与水团和环流的联系. 极地研究, 34 (1), 34-50.

4. Hairu Hao, Jie Su*, Qian Shi, Lele Li, 2021: Arctic sea ice concentration retrieval using the DT-ASI algorithm based on FY-3B/MWRI data, Acta Oceanologica Sinica, 40: 176-188, https://doi.org/10.1007/s13131-021-1839-6. 

3. 王今菲, 杨清华*，于乐江，宋米荣，罗昊，施骞等, 2021：南极海冰变化及其气候效应研究述评. 海洋学报, 43(7), 11-22;

2. Jie Su*, Qian Shi et al., 2019: The coupling characteristics of Arctic sea ice concentration and sea ice motion in winter, IEEE International Geoscience and Remote Sensing Symposium, https://doi.org/10.1109/IGARSS.2019.8898867. 

1. Chao Min, Longjiang Mu*, Qinghua Yang*, Robert Ricker, Qian Shi et al., 2019: Sea ice export through the Fram Strait derived from a combined model and satellite data set, The Cryosphere, 13(12): 3209-3224, https://doi.org/10.5194/tc-13-3209-2019.

主要项目：

主持项目：

• 国家自然科学基金委员会, 青年科学基金项目, 42005062, 基于AMSR2高频亮温数据的南极海冰速度反演研究, 2021-01 至 2024-12, 30万元，结题

• 广东省基础与应用基础研究基金委员会，广东省自然科学基金区域联合基金青年基金, 2019A1515110295，北极季节性海冰冰速的卫星遥感反演算法改进及应用, 2020-01 至 2021-12, 10万元, 结题

• 中国科学院西北生态环境资源研究院，冰冻圈科学国家重点实验室开放基金，SKLCS-OP-2020-5，北冰洋季节性海冰冰速反演及融合冰速场重构，8万元，结题

参与项目：

• 科技部, 国家重点研发计划, 2024YFF0506602, 调控源区底层水产量和变异的海-冰-气耦合过程研究, 2024-12至 2029-11, 骨干, 在研

• 国家自然科学基金委员会，重点项目，42530406，南极海冰稳态转变的驱动机制及影响，2026-01至2030-12，骨干，在研

• 科技部, 国家重点研发计划, 2019YFA0607004, 影响北极未来变化趋势的关键过程、情景与效应, 2019-11至 2024-10, 骨干, 结题

  山东省青岛市崂山区松岭路238号中国海洋大学物理海洋教育部重点实验室 邮编：266100

  Email: shiq9@ouc.edu.cn