宋振亚,博导,物理海洋学博士,研究员,目前担任学术期刊Ocean Modelling执行编辑、Scientific Data编委、中国海洋学会海气相互作用专业委员会秘书长、CLIVAR 海洋模式发展组OMDP委员等。一直从事地球系统模式发展与应用等方面的研究,率先将海浪的非破碎垂向混合作用和对海气通量作用引入到气候模式中,揭示了小尺度海浪过程在大尺度气候系统中的重要作用及机制;开展了海洋数值模式基于国产处理器的高效并行算法、地球系统模式的负载均衡算法以及AI4ClimateModeling等研究,有效提升了模式计算效率;发展了两代耦合海浪的地球系统模式FIO-ESM,通过完善模式所包含的小尺度过程,有效减缓模拟偏差,提高模拟和预测能力;构建了短期气候预测系统FIO-CPS,在国家海洋环境预报中心、国家气候中心等多个国家级和地方业务中心应用。先后主持NSFC青年、面上、重点、优青、杰青以及重点研发计划项目等多个项目;先后入选自然资源部第一海洋研究所“束星北”青年学者、自然资源部高层次科技创新人才领军人才和第二人才梯队等。
1. Wang Yuanlin, Yajuan Song, Ying Bao, Chan Joo Jang and Zhenya Song*, 2025, Assessment of the Marine Heatwaves Prediction Performance of the Short-term Climate Prediction System FIO-CPS v2.0. Weather and Climate Extremes, 48: 100757, doi:10.1016/j.wace.2025.100757
2. Shu Qi, Fangli Qiao, Jiping Liu, Ying Bao and Zhenya Song*, 2024, Description of FIO-ESM version 2.1 and evaluation of its sea ice simulations. Ocean Modelling, 187: 102308, doi:10.1016/j.ocemod.2023.102308
3. Wu Xiaoyu, Rui Zhao, Hongyi Chen, Zijia Wang, Chen Yu, Xingjie Jiang, Weiguo Liu and Zhenya Song*, 2024, GSDNet: A deep learning model for downscaling the significant wave height based on NAFNet. Journal of Sea Research, 198: 102482, doi:10.1016/j.seares.2024.102482
4. Jin, Quan, Xingjie Jiang, Feng Hua, Yongzeng Yang, Shumin Jiang, Chen Yu and Zhenya Song*, 2024, GWSM4C: A Global Wave Surrogate Model for Climate Simulation Based on a Convolutional Architecture. Ocean Engineering, 309: 118458, doi:10.1016/j.oceaneng.2024.118458
5. Song Yajuan, Xiaodan Yang, Ying Bao, Fangli Qiao and Zhenya Song*, 2024, Role of Strong Sea Surface Temperature Diurnal Variation in Triggering the Summer Monsoon Onset over the Bay of Bengal in a Climate Model. Geophysical Research Letters, 51(15): e2023GL108015, doi:10.1029/2023GL108015
6. Yang Xiaodan, Ying Bao, Zhenya Song*, Qi Shu, Yajuan Song, Xin Wang* and Fangli Qiao*, 2023, Key of ENSO phase-locking simulation: Effects of sea surface temperature diurnal amplitude. npj Climate and Atmospheric Science, 6: 159, doi:10.1038/s41612-023-00483-3
7. Jiang Xingjie, Botao Xie, Ying Bao and Zhenya Song*, 2023, Global 3-hourly wind-wave and swell data for wave climate and wave energy resource research from 1950 to 2100. Scientific Data, 10: 225, doi:10.1038/s41597-023-02151-w
8. Liao Huaxia, Zhichao Cai, Jingsong Guo and Zhenya Song*, 2023, Effects of ITCZ poleward location bias on ENSO seasonal phase-locking simulation in climate models. Journal of Climate, 36(15): 5233-5249, doi:10.1175/JCLI-D-22-0891.1
9.宋振亚, 鲍颖,乔方利. 两代耦合海浪的地球系统模式FIO-ESM全球碳循环过程发展. 海洋科学进展, 2022, 40(4): 777-790. doi:10.12362/j.issn.1671-6647.20220628001
10. Liu Hailong, Zhenya Song*, Xidong Wang and Vasu Misra, 2022, An Ocean Perspective on CMIP6 Climate Model Evaluations. Deep-Sea Research Part II, 201C: 105120, doi:10.1016/j.dsr2.2022.105120
11. Yang Xiaodan, Yajuan Song, Meng Wei, Yuhuan Xue and Zhenya Song*, 2022, Different influencing mechanisms of two ENSO types on the interannual variation in diurnal SST over the Niño 3 and 4 regions. Journal of Climate, 35(1): 125–139, doi:10.1175/JCLI-D-20-0815.1
12. Song Yajuan, Fangli Qiao, Jiping Liu*, Qi Shu, Ying Bao, Meng Wei and Zhenya Song*, 2022, Effects of sea spray on large-scale climatic features over the Southern Ocean. Journal of Climate, 35(14): 4645–4663, doi:10.1175/JCLI-D-21-0608.1
13. Qiu Zijian, Fangli Qiao, Chan Joo Jang, Lujun Zhang and Zhenya Song*, 2021, Evaluation and Projection of the global marine heatwaves based on CMIP6 models. Deep-Sea Research Part II, 194: 104998, doi:10.1016/j.dsr2.2021.104998
14. Song Zhenya, Ying Bao, Danqi Zhang, Qi Shu, Yajuan Song and Fangli Qiao*, Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research. Scientific Data, 7: 226. doi:10.1038/s41597-020-0566-8
15. Song Zhenya, Hailong Liu and Xingrong Chen*, 2020, Eastern equatorial Pacific SST seasonal cycle in global climate models: from CMIP5 to CMIP6, Acta Oceanologica Sinica, 39(7): 50-60, doi:10.1007/s13131-020-1623-z
16.宋振亚, 鲍颖, 乔方利. FIO-ESM v2.0模式及其参与CMIP6的方案, 气候变化研究进展, 2019, 37(2): 161-170, doi:10.12006/j.issn.1673-1719.2019.033
17.宋振亚, 刘卫国, 刘鑫, 苏天赟, 刘海行, 尹训强. 海量数据驱动下的高分辨率海洋数值模式发展与展望, 海洋科学进展, 2019, 37(2): 161-170, doi:10.3969/j.issn.1671-6647.2019.02.001
18. Chen Xingrong, Huaxia Liao, Xiaoyan Lei, Ying Bao and Zhenya Song*, 2019, Analysis of ENSO simulation biases in FIO-ESM version 1.0. Climate Dynamics, 53(11): 6933-6946, doi:10.1007/s00382-019-04969-w
19. Ding Nan, Wei Xue*, Zhenya Song*, Haohuan Fu, Shiming Xu and Weimin Zheng, 2019, An Automatic Performance Model-based Scheduling Tool for Coupled Climate System Models. Journal of Parallel and Distributed Computing, 132: 204-216, doi:10.1016/j.jpdc.2018.01.002
20. Yang Xiaodan, Zhenya Song*, Yu-Heng Tseng, Fangli Qiao and Qi Shu, 2017, Evaluation of three temperature profiles of a sublayer scheme to simulate SST diurnal cycle in a global ocean general circulation model. Journal of Advances in Modeling Earth Systems, 9: 1994-2006, doi:10.1002/2017MS000927
21. Song Zhenya, Sang-Ki Lee, Chunzai Wang, Ben Kirtman and Fangli Qiao*, 2015, Contributions of the atmosphere–land and ocean–sea ice model components to the tropical Atlantic SST bias in CESM1. Ocean Modelling, 96(2): 280-290, doi: 10.1016/j.ocemod.2015.09.008
22. Song Zhenya, Qi Shu, Ying Bao, Xunqiang Yin and Fangli Qiao*, 2015, The prediction on the 2015/16 El Niño event from the perspective of FIO-ESM, Acta Oceanologica Sinica, 34(12): 67-71, doi:10.1007/s13131-015-0787-4
23. Song Zhenya, Hailong Liu, Chunzai Wang, Liping Zhang and Fangli Qiao*, 2014, Evaluation of the eastern equatorial Pacific SST seasonal cycle in CMIP5 models, Ocean Science, 10: 837-843, doi:10.5194/os-10-837-2014
24. Song Zhenya, Fangli Qiao*, Xiaoyan Lei and Chunzai Wang, 2012, Influence of Parallel Computational Uncertainty on Simulations of the Coupled General Climate Model. Geoscience Model Development, 5: 313-319, doi:10.5194/gmd-5-313-2012
25. Song Zhenya, Fangli Qiao* and Yajuan Song, 2012, Response of the equatorial basin-wide SST to wave mixing in a climate model: An amendment to tropical bias. Journal of Geophysical Research, 117: C00J26, doi:10.1029/2012JC007931
26. Song Zhenya, Fangli Qiao* and Chunzai Wang, 2011, The correctness to spuriously simulated sea surface temperature semi-annual cycle in the equatorial eastern Pacific. Science China Earth Sciences, 54(3): 438-444, doi:10.1007/s11430-011-4176-3
27. 宋振亚, 乔方利*, 赵伟, 波致混合对CCSM3气候模式预测能力的改进, 自然科学进展, 2009, 19(2): 203-211
28. Song Zhenya, Fangli Qiao*, Yongzeng Yang and Yeli Yuan, 2007, An improvement of the too cold tongue in the tropical Pacific with the development of an ocean-wave-atmosphere coupled numerical model. Progress in Natural Science, 17(5): 576-583.
获奖与荣誉
1. 宋振亚,自然资源部高层次科技创新人才工程第二梯队,自然资源部,2024年
2. 宋振亚,全国自然资源系统先进个人,中华人民共和国人力资源和社会保障部、中华人民共和国自然资源部,2024年
3. 宋振亚,乔方利,舒启,鲍颖,宋亚娟,杨晓丹,李新放,魏萌,王世柱,黄传江,何琰,赵彪,陈思宇,尹训强,赵伟,第二代耦合海浪的新型气候模式发展与应用,海洋工程科学技术奖一等奖,海洋工程咨询协会,2023年
4. 宋振亚,自然资源部高层次科技创新人才工程“科技领军人才”,自然资源部,2021年
5. 宋振亚,青岛市新侨创新创业杰出成就人士,2021年
6. 乔方利,黄传江,戴德君,宋振亚,袁业立,海洋浪致混合理论研究及模式应用,青岛市自然科学奖一等奖,青岛市人民政府,2020年
7. 宋振亚,2016年度青岛市杰出青年岗位能手称号,共青团青岛市委,2016年
8. 宋振亚,2015年度海洋领域优秀科技青年,国家海洋局,2015年
9. 乔方利,宋振亚,鲍颖,王关锁,宋亚娟,舒启,黄传江,赵伟,尹训强,李新放,杨永增,夏长水,包含海浪的新型全球气候数值模式的建设与应用,海洋工程科学技术奖一等奖,海洋工程咨询协会,2014年
10. 宋振亚,清华大学-浪潮集团计算地球科学青年人才奖,2014年
主持项目
1. 2025.01-2029.12,国家自然科学基金,气候系统模式发展与应用(42425606),400.00万元,主持
2. 2024.12-2029.11,国家重点研发计划“地球系统与全球变化”专项项目,关键海气交换参数化方案及其在海气耦合模式中的应用(2024YFF0808900),2000.00万元,主持
3. 2021.01-2023.12,国家自然科学基金,气候系统模式发展及应用(42022042),120.00万元,主持
4. 2019.01-2022.12,国家自然科学基金,海量数据驱动下的高分辨率海洋数值模式关键算法研究(U1806205),267.00万元,主持
5. 2016.07-2021.01,国家重点研发计划“全球变化及应用”专项“大规模多模式多过程地球系统模式耦合平台研发”项目课题,高精度数据投影与通量算法研究(2016YFA0602203),525.00万元,主持
6. 2015.01-2018.12,国家自然科学基金,海气耦合模式中热带SST偏差的来源于发展过程研究(41476023),100.00万元,主持
7. 2010.01-2012.12,国家自然科学基金,波致混合对气候模式中赤道太平洋SST的影响机制研究(40906018),22.00万元,主持