Name: Zhenya Song
Date and country of birth: 20 Jun 1982, P. R. China
Affiliation: First Institute of Oceanography (FIO), MNR, China
Address: First Institute of Oceanography, Ministry of Natural Resources
No. 6 Xianxialing Road, Qingdao, P. R. China 266061
No. 6 Xianxialing Road, Qingdao, P. R. China 266061
• 2007-2011: Ocean University of China, Physical Oceanography, Ph.D.
• 2003-2006: Ocean University of China, Physical Oceanography, Master
• 1999-2003: Ocean University of China, Applied Mathematics, Bachelor
• Professor, First Institute of Oceanography, MNR, China, 2018 – present
• PI, Laboratory for Regional Oceanography and Numerical Modeling, QNML, China, 2016 – present
• Associate Professor, First Institute of Oceanography, MNR, China, 2013 – 2017
• Assistant Professor, First Institute of Oceanography, MNR, China, 2008 – 2013
• Lecturer, First Institute of Oceanography, MNR, China, 2006 – 2008
• Visiting Scholar, University of Miami, USA, Jan. – Dec., 2013
• Visiting Scholar, University of Melbourne, Australia, Feb. – Apr., 2019
Research Field and Works
My research field focuses on climate model development and applications, climate change, tropical air-sea interaction, high-performance computing, and machine learning.
I have been working on the climate models and the effect of the wave-induced vertical mixing in the climate system since 2004 when I was a master student. I weaved a surface wave model into a global climate model for the first time and found that the wave-induced vertical mixing plays a crucial role in improving the numerical modeling of the climate system by improving the simulation of ocean mixed layer. Then I developed two generations the earth system model name FIO-ESM (First Institute of Oceanography-Earth System Model) and participated CMIP (Climate Model Inter-comparison Project). Furthermore, based on the FIO-ESM, I established a short-term climate forecast system to predict ENSO, Arctic sea-ice concentration, and China rainfall. Recently, I started to work on the convergence of machine learning and numerical simulations.
I’m severing the Deep-Sea Research Part II as the Guest Editor, and the Ocean Modelling as the Managing Editor. I also referee for the peer-reviewed journal, e.g., Acta Oceanologica Sinica, Advances in Atmospheric Sciences, Climate Dynamics, Geoscientific Model Development, Journal of Atmospheric and Oceanic Technology, Journal of Climate, Journal of Geophysical Research: Oceans, Journal of Meteorological Research, Journal of Physical Oceanography, Monthly Weather Review, Ocean Modelling, Proceedings of the National Academy of the Sciences of the United States of America, etc.
Peer Reviewed Publications (Sorted by Published Date)
1.Song, Z., F. Qiao, Y. Yang, and Y. Yuan (2007). An improvement of the too cold tongue in the tropical Pacific with the development of an ocean-wave-atmosphere coupled numerical model, Prog. Nat. Sci, 17(5), 576-583.
2.Song, Z., F. Qiao, and C. Wang (2011). The correctness to spuriously simulated sea surface temperature semi-annual cycle in the equatorial eastern Pacific, Sci. China Earth Sci. 54(3), 438-444, doi:10.1007/s11430-011-4176-3.
3.Song, Z., F. Qiao, X. Lei, and C. Wang (2012). Influence of Parallel Computational Uncertainty on Simulations of the Coupled General Climate Model, Geosci. Model Dev. 5, 313-319, doi:10.5194/gmd-5-313-2012.
4.Song, Z., F. Qiao, and Y. Song (2012). Response of the equatorial basin-wide SST to wave mixing in a climate model: An amendment to tropical bias, J. Geophys. Res., 117, C00J26, doi:10.1029/2012JC007931.
5.Qiao, F., Z. Song, Y. Bao, Q. Shu, C. Huang, and W. Zhao (2013). Description and evaluation of an earth system model climate with surface gravity wave, J. Geophys. Res. Oceans, 118, doi: 10.1002/jgrc.20327.
6.Song, Z., H. Liu, L. Zhang, F. Qiao, and C. Wang (2014). Evaluation of the eastern equatorial Pacific SST seasonal cycle in CMIP5 models, Ocean Sci., 10, 837-843, doi:10.5194/os-10-837-2014.
7.Song, Z., S.-K. Lee, C. Wang, B. Kirtman, and F. 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.
8.Song, Z., Q. Shu, Y. Bao, X. Yin, and F. Qiao (2015). The prediction on the 2015/16 El Niño event from the perspective of FIO-ESM, Acta Oceanol. Sin., 34(12), 67-71, doi:10.1007/s13131-015-0787-4.
9.Qiao, F., Y. Yuan, J. Deng, D. Dai, and Z. Song (2016). Wave-turbulence interaction-induced vertical mixing and its effects in ocean and climate models, Phil. Trans. R. Soc A, 374, 20150201, doi:10.1098/rsta.2015.0201.
10.Yang, X., Z. Song, Y.-H. Tseng, F. Qiao, and Q. Shu (2017). Evaluation of three temperature profiles of a sublayer scheme to simulate SST diurnal cycle in a global ocean general circulation model, J. Adv. Model. Earth Syst., 9, 1994-2006, doi:10.1002/2017MS000927. (Corresponding author)
11.Song. Z., Y. Bao, and F. Qiao (2019). Introduction of FIO-ESM v2.0 and its participation plan in CMIP6 Experiments. Advances in Climate Change Research, 15(5), 558-565. doi:10.12006/j.issn.1673-1719.2019.033. (In Chinese)
12.Ding, N., S. Xu, Z. Song, B. Zhang, J. Li, and Z. Zheng (2019). Using Hardware Counters-based Performance Model to Diagnose Scaling Issues of HPC Applications, Neural Comput. Appl., 31(5), 1563-1575, doi: 10.1007/s00521-018-3496-z. (Corresponding author)
13.Ding, N., W. Xue, Z. Song, H. Fu, S. Xu, and W. Zheng (2019), An Automatic Performance Model-based Scheduling Tool for Coupled Climate System Models, J. Parallel. Distr. Com., 132, 204-216. doi: 10.1016/j.jpdc.2018.01.002. (Corresponding author)
14.Chen, X., H. Liao, X. Lei, Y. Bao, and Z. Song (2019), Analysis of ENSO simulation biases in FIO-ESM version 1.0, Clim. Dynam., 53(11), 6933-6946. doi: 10.1007/s00382-019-04969-w. (Corresponding author)
15.Song, Z., Y. Bao, D. Zhang, Q. Shu, Y. Song, and F. Qiao (2020), Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research, Sci. Data, 7, 226. doi: 10.1038/s41597-020-0566-8
16.Song, Z., H. Liu, and X. Chen (2020), Eastern equatorial Pacific SST seasonal cycle in global climate models: from CMIP5 to CMIP6, Acta Oceanol. Sin., 39(7), 50-60. Doi: 10.1007/s13131-020-1623-z
17.Bao, Y., Z. Song, and F. Qiao (2020), FIO Earth System Model (FIO-ESM) version 2.0: Model description and Evaluation, J. Geophys. Res. Oceans, 125(6), e2019JC016036. doi:10.1029/2019JC016036
18.Shu, Q., Q. Wang, Z. Song, and F. Qiao (2021), The poleward enhanced Arctic Ocean cooling machine in a warming climate, Nat. Commun., 12, 2966. Doi: 10.1038/s41467-021-23321-7
19.Yang, X., S. Zhou, S. Zhou, Z. Song, and W. Liu (2021), A barotropic solver for the high-resolution ocean general circulation model, J. Mar. Sci. Eng., 9(4), 421. doi:10.3390/jmse9040421. (Corresponding author)
20.Liao, H., C. Wang, Z. Song (2021), ENSO phase-locking biases from the CMIP5 to CMIP6 models and a possible explanation, Deep-Sea Res PT II, doi:10.1016/j.dsr2.2021.104943. (Corresponding author)
21.Song, Y., Q. Shu, Y. Bao, X. Yang, and Z. Song (2021), The Short-Term Climate Prediction System FIO-CPS v2.0 and its Prediction Skill in ENSO, Front. Earth Sci., 9, 759339. doi: 10.3389/feart.2021.759339 (Corresponding author)
22.Yang, X., Y. Song, M. Wei, Y. Xue, and Z. Song (2021), Different influencing mechanisms of two ENSO types on the interannual variation in diurnal SST over the Niño 3 and 4 regions, J. Clim., doi: 10.1175/JCLI-D-20-0815.1 (Corresponding author)
Recent Awards and Recognitions
• 2014, The 2nd Tsinghua University----Inspur Group Computational Earth Science Young Talent Award
• 2015, Outstanding Young Scientist in Chinese Marine Field
• 2017, AoShan Talents Cultivation Excellent Scholar Supported by Qingdao National Laboratory for Marine Science and Technology
• 2019, High-quality review for Journal of Meteorological Research
• 2020, the National Science Fund for Excellent Young Scholars by National Natural Science Foundation of China
• PICES Working Group 29: Reginal Climate Modeling, 2012 – 2017
• PICES China POC committee, Deputy Chair, 2017 – present
• Chinese National Committee for International Association of the Physical Sciences of the Ocean, Deputy Chair, 2020 – 2024
• Intel HPC AI Advisory Council Member, 2021 – present
• Deep-Sea Research Part II, Guest Editor, 2021 – present
• Ocean Modelling, Managing Editor, 2021.06 – present