林霞

Name (Pinyin):linxia

E-Mail:

School/Department:海洋科学学院

Education Level:With Certificate of Graduation for Doctorate Study

Degree:Doctoral Degree in Science

Alma Mater:南京信息工程大学

Discipline:Physical Oceanograph

Honors and Titles:

江苏省三好学生


Current Position: Home >> Scientific Research >> Paper Publications

Total 0   0/0 

Personal Profile

个人简介:    

南京信息工程大学和英国东英吉利大学联培博士,先后在河海大学和比利时新鲁汶大学从事博士后、助理研究员和项目科学家等工作。2024年入选国家博士后海外引才专项。主要研究方向包括极地海洋-海冰-大气相互作用和海洋-海冰模式模拟与评估

文章投稿情况

17. Lin, X.*Massonnet, F., Ortega, P., de Azevedo, H. B., Zhai, X. M.,  Frigola, A. 2025. Characterization and causes of the Central North Atlantic cold bias in CMIP6 and HighResMIP simulations. Journal of Climate, major revision.

文章发表情况

16. Liu, C.*, Wang, Z.*, Chen, D., Han, X., Leng, H., Liang, X., Yan, L., Li, X., Stevens, C., Hogg, A. M., Kusahara, K., Yamazaki, K., Ohshima, K. I., Zhou, M., Cheng, X., Wang, D., Dong, C., Liu, J., Yang, Q., Li, X., Lei, R., Ding, M., Zhang, Z., Kang, D., Qi, D., Liu, T., Dong, J., An, L., Chen, R., Zhang, T., Hu, X., Han, B., Bi, H., Shu, Q., Mu, L., Xu, S., Yang, H., Liu, H., Dou, T., Feng, Z., Zheng, L., Tang, X., Shi, G., Cai, Y., Li, B., Wu, Y., Lin, X., Sun, W., Liu, Y., Yu, K., Zhang, Y., Shao, W., Wang, X., Zheng, S., Yuan, C., Zhou, C., Liu, J., Liu, Y., Xia, Y., Pan, X., Zeng, J., Liu, K., Fan, J., Cheng, C. and Li, Q. (2026). The coupled Southern Ocean–Sea ice–Ice shelf Model (SOSIM v1.0): configuration and evaluation. Geoscientific Model Development, 19(7), 29853033, DOI: 10.5194/gmd-19-2985-2026.

15. Lin, X.*, Zhu, Y., Li, W., Jin, M., Huang, J., Guo, X., Wang, X., Wei, J., Lai, Z. and Dong, C. 2025. Mean-State Arctic Sea Ice Transitions During 1979–2024 and the Underlying Physical Processes. Journal of Marine Science and Engineering, 13(12), 2264.

14. Frigola, A.*, Martin-Martinez, E., Moreno-Chamarro, E., Samsó, M., Loosvelt-Tomas, S., Bretonnière, P. A., Kuznetsova, D., Lin, X., and Ortega, P. 2025. The North Atlantic mean state in mesoscale eddy-resolving coupled models: a multimodel study. Ocean Science21(6), 35073540.

13. Jin, M., Chen, Z., Lin, X., Li, C., & Qi, D.2025. Influences of Global Warming and Upwelling on the Acidification in the Beaufort Sea. Remote Sensing17(5), 866.

12. Nie, Y. F., Lin, X., Yang, Q. H*, Liu, J. P., Chen, D. K., Uotila P. 2023. Improved Antarctic Sea Ice  Concentration Budgets in CMIP6 models. Geophysical Research Letters, 50, e2023GL105265. DOI: 10.1029/2023GL105265.

Nie, Y., Lin, X., Yang, Q., Liu,

J., Chen, D., & Uotila, P. (2023).

Differences between the CMIP5 and

CMIP6 Antarctic sea ice concentration

budgets.

Geophysical Research Letters

,

50

, e2023GL105265.

https://doi.

org/10.1029/2023GL105265

11. Lin, X.*, Massonnet, F., Fichefet, T., and Vancoppenolle, M. 2023. Impact of atmospheric forcing uncertainties on Arctic and Antarctic sea ice simulation in CMIP6 OMIP. The Cryosphere, 17(5),1935-1965. DOI: 10.5194/tc-17-1935-2023.

10. Yang, C. X.*, Cagnazzo, C., Artale, V., Nardelli, B. B., Buontempo, C., Busatto, J., Caporaso, L., Cesarini, C., Cionni, I., Coll, J., Crezee, B., Cristofanelli, P., de Toma, V., Essa, Y. H., Eyring, V., Fierli, F., Grant, L., Hassler, B., Hirschi, M., Huybrechts, P., Le Merle, E., Leonelli, F. E., Lin, X., Madonna, F., Mason, E., Massonnet, F., Marcos, M., Marullo, S., Müller, B., Obregon, A., Organelli, E., Palacz, A., Pascual, A., Pisano, A., Putero, D., Rana, A., Sánchez-Román, A., Seneviratne, S. I., Serva, F., Storto, A., Thiery, W., Throne, P., Tricht, L. V., Verhaegen, Y., Volpe, G., and Santoleri, R. 2022. Independent quality assessment of essential climate variables: lessons learnt from the Copernicus Climate Change Service. Bulletin of the American meteorological society, E2032–E2049. DOI: 10.1175/BAMS-D-21-0109.1

9. Hu, Y., Wang, X.*, Luo, J. J.*, Wang, D., Yan, H., Yuan, C., and Lin, X. 2022. Forecasts of MJO during DYNAMO in a coupled tropical channel model, Part I: Impact of parameterization schemes. International Journal of Climatology, 42(12), 6771–6792. DOI: 10.1002/joc.7610.

8. Hu, Y., Wang, X.* , Luo, J. J.*, Wang, D., Yan, H., Yuan, C., and Lin, X. 2022. Forecasts of MJO during DYNAMO in a coupled tropical channel model: Impact of Planetary Boundary Layer Schemes. Atmosphere, 13(5), 666DOI: 10.3390/atmos13050666.

7. Lin, X.*, Massonnet, F., Fichefet, T., and Vancoppenolle, M. 2021. SITool (v1. 0)–a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP. Geoscientific Model Development, 14(10), 6331–6354. DOI: 10.5194/gmd-14-6331-2021.

6. Lin, X., Zhai, X.*, Wang, Z.*, and Munday, D. 2020. Southern Ocean wind stress in CMIP5 models: Role of  wind fluctuations. Journal of Climate, 33, 1209–1226. DOI: 10.1175/JCLI-D-19-0466.1.

5. Wu, Y., Wang, Z.*, Liu, C., and Lin, X. 2020. Impacts of high-frequency atmospheric forcing on Southern Ocean circulation and Antarctic sea ice. Advances in Atmospheric Sciences, 37, 515–531. DOI: 10.1007/s00376-020-9203-x.

4. Lin, X., Zhai, X.*, Wang, Z., and Munday, D. 2018. Mean, variability and trend of Southern Ocean wind stress: Role of wind fluctuations. Journal of Climate, 31, 3557–3573. DOI: 10.1175/JCLI-D-17-0481.1.

3. Lin, X.*, and Wang, Z. 2018. Simulated impact of Southern Hemisphere westerlies on Antarctic Continental Shelf Bottom Water temperature. Advances in Polar Science, 29(3), 3–19. DOI: 10.13679/j.advps.2018.3.00003.

2. Wang, Z.*, Wu, Y., Lin, X., Liu, C., and Xie, Z. 2017. Impacts of open ocean deep convection in the Weddell Sea on coastal and bottom water temperature. Climate Dynamics, 48, 2967–2981. DOI: 10.1007/s00382-016-3244-y.

1. 林霞,王召民*,最近 21 年厄加勒斯反曲的变化。中国海洋大学学报(自然科学版)201646),11–14

科研项目情况:

1. 国家自然科学基金青年科学基金项目,41906190,南大洋翻转环流的纬向异性及其与外强迫的关系,主持,已结题。

2. 国家自然科学基金极地基础科学前沿专项项目,多尺度海洋环流与埃默里冰架底部质量平衡的相互作用研究,参与,在研。 

3. 中国博士后科学基金,2019M661705,南大洋海冰区混合层深度的局地差异及其与外强迫的关系,主持,已结题。 

4. 河海大学中央高校基本科研业务费自由探索专项,2019B19014, 南大洋风场变化及其对海洋环流的影响,主持,已结题。

主要研究成果:

1. 利用全球高分辨率海洋-海冰耦合模式和全耦合模式、多源观测资料和再分析资料,系统地研究了高频大气扰动过程对南大洋表层风应力、浮力通量、南极绕极流、南大洋翻转环流、南极海冰、亚极地环流和南极陆架底层水温的影响。研究发现提高南大洋高频大气扰动过程的模拟能力,可显著减小耦合模式中南大洋海洋环流以及极区海冰的模拟偏差,这为改进南大洋环流和全球气候系统模拟和预测提供了重要依据。

2. 针对系统性海冰评估和预测的需求,开发了基于Python的海冰模拟能力评估模型,该模型提供了性能指标和诊断图片,用于评估海洋-海冰模式对南北极海冰密集度、范围、外缘线位置、速度、厚度以及积雪深度的模拟能力。该模型目前被欧洲联合会开发的海洋-海冰模式 NEMO v4.0 采纳,为高效地管理模式输出以及改进模式模拟水平提供支撑。同时本人从热力学和动力学的角度研究了影响海冰密集度变化的因子及其与表层通量的关系,探讨了海冰流速与海冰密集度、厚度和表层风应力的关系,揭示了大气强迫场的变化影响海冰密集度和漂流速度模拟的机制,为提高海冰模拟水平提供了科学基础。

开源海冰评估模型:https://github.com/XiaLinUCL/Sea-Ice-Evaluation-Tool

学术获奖与兼职: 

2018 年,中国极地科学学术年会青年优秀论文奖; 

2022 年至今,比利时极地青年科学家协会理事会成员;