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张国胜(副院长)
来源:yl88858永利中国2025年11月06日

  张国胜

  教授/副院长,yl8858永利集团,yl88858永利中国
  分管工作:大气科学学位点建设、科研工作、教学工作、实验室工作
  海南省三亚市育才路1号,邮编:572022
  邮箱:gszhang@hntou.edu.cn
  
  教育背景:
  9/2005 - 6/2009:  中国海洋大学,海洋环境学院,海洋系,理学学士
  9/2009 - 6/2014:  河海大学,港口海岸与近海工程学院,物理海洋学, 理学博士
  工作经历:
  9/2014 – 1/2015:   美国西北太平洋实验室(PNNL),访问交流
  4/2015 –10/2018:   加拿大Bedford海洋研究所,Visiting Scientist
  10/2018– 3/2019:   南京信息工程大学,海洋科学学院,校聘教授
  3/2019  – 5/2025:  南京信息工程大学,海洋科学学院,教授
  6/2025  – 现在:    yl8858永利集团,yl88858永利中国,教授/副院长
  学术成果简述:
  张国胜教授,围绕“提高热带气旋(尤其是台风或飓风)强度预报水平”这一国际前沿问题,致力于“基于海洋微波遥感的台风海气界面动力过程研究”,取得了系列性创新研究成果,系星载SAR台风遥感领域的国际知名专家学者。以第一作者/唯一通讯作者发表中科院二区及以上SCI论文20篇(其中Nature子刊npj-CAS一篇,遥感顶刊RSE两篇,IEEE协会一流刊物五篇:IEEE-TGRS四篇、IEEE-GRSL一篇,美国地球物理学会AGU一流刊物四篇:GRL三篇、JGR-Ocean一篇,中国气象学会一流刊物AAS一篇),单篇最高引用131次。担任IEEE-TGRS、GRL、Ocean Modelling、Remote Sensing Letters等期刊审稿人。
  精准测量是提升台风认知理解和预报水平的基石。张博士在国际上首次提出了“遥感机理仿真指导反演算法发展/改善”的新路径,发展的SAR海面风场反演算法C-3PO是国际主流算法之一;创建的平均型、椭圆型、双风眼型、W1型、流入角型、简易型等多类型SAR台风独立测量方法(命名为SHEW系列模型,SHEW为古英语,意为展现),推动了“眼壁置换”“流入角结构”“引导气流”“涡旋Rossby波”等台风移动与增强动力过程的认知理解。曾连续三年获加拿大政府部门博士后奖学金、2018年引进为南京信息工程大学“星载SAR台风遥感”学术带头人、2019年(32岁)评为教授、2022年获江苏省“双创”人才、2024年获南京市C类高层次人才(对应国家“优青”、教育部“青年长江”等层次级别)。2025年yl8858永利集团重点引进为海洋遥感学科带头人,“蒋兴伟院士工作站”负责人。在星载SAR台风遥感领域经过十余年积累,贯通了遥感机理探索、反演算法研发、独立测量及动力分析的创新全链条,实现了从“跟跑”“并跑”到“领跑”的跨越。其研究的准实时台风监测系统趋于成熟时,美国NOAA等相关部门的类似体系才初步建立,这充分体现了其研究的先行性与国际领先性。
  科研奖励:
  [1]中共江苏省委组织部,省级人才,JSSCRC2022476,2022年江苏省“双创人才”,2022-09 至 2025-09,50万元。
  [2]南京市 C类人才(C类人才标准:国家重点人才工程青年人才、国家优秀青年科学基金获得者、“长江学者”奖励计划青年学者、省“双创人才”入选者、省“333工程”第二层次培养对象等)
  科研项目:
  [3]基于星载SAR的热带气旋内核精细结构特征分析及对强度变化影响机制研究,国家自然科学基金,41706193,2018-01至2020-12,23万,主持。
  [4]基于微波遥感的台风内部动力过程研究,南信大人才启动经费资助项目,2019-03至 2021-12,20万,主持。
  [5]热带气旋海面风场的多源卫星监测研究(20200102) ,“海洋科学”浙江省一流学科建设开放课题,2020-09至2021-08,6万,主持。
  [6]SAR台风海面风场数据预处理,中国科学院海洋研究所 横向,2022-02至 2023-03,10万,主持。
  [7]西北太平洋热带气旋GPS定位系统研发,华东师范大学地理信息科学教育部重点实验室开放基金,2017-10至2019-09,5万,主持。
  主要论著:
  [1]Zhang, G., Li, X., Chan, P. et al. Potential tropical cyclone movement and intensification factors imaged by spaceborne SAR. npj Clim Atmos Sci 8, 264 (2025). https://doi.org/10.1038/s41612-025-01162-1
  [2]Zhang, G., Xu, C., Li, X.*, Zhu, Z., & Perrie, W., (2022). Tropical Cyclone Center and Symmetric Structure Estimating from SMAP Data [J]. IEEE Transactions on Geoscience and Remote Sensing, (TOP期刊)
  [3]Zhang, G., Li, X., Perrie, W., & Zhang, J. A. (2021). Tropical cyclone winds and inflow angle asymmetry from SAR imagery [J]. Geophysical Research Letters, 48, e2021GL095699. https://doi.org/10.1029/2021GL095699 (Top期刊).
  [4]Zhang, G.*, Perrie, W., Zhang, B.*, Yang, J., & He, Y., (2020), Monitoring of Tropical Cyclone Structures in Ten Years of RADARSAT-2 SAR images [J], Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2019.111449. (遥感顶刊) 
  [5]Zhang, G.*, Zhang, B.*, Perrie, W., He, Y., Li, H., Fang, H., Khurshid, S., & Warner, K., (2019), C-band Right-Circular Polarization Ocean Wind Retrieval [J], IEEE Geoscience and Remote Sensing Letters, 16(9), 1398-1401, DOI.: 10.1109/LGRS.2019.2898557.(IF:3.833)
  [6]Zhang, G.*, Perrie, W., Zhang, B., Khurshid, S., & Warner, K., (2018), Semi-empirical Ocean Surface Model for Compact-Polarimetry Mode SAR of RADARSAT Constellation Mission [J], Remote Sensing of Environment, 217, 52-60, DOI:10.1016/j.rse.2018.08.006. (遥感顶刊)
  [7]Zhang, G.*, & Perrie, W. (2018). Effects of asymmetric secondary eyewall on tropical cyclone evolution in Hurricane Ike (2008) [J]. Geophysical Research Letters, 45(3), 1676-1683. (Top期刊)
  [8]Zhang, G.*, & Perrie, W. (2018). Dual-Polarized Backscatter Features of Surface Currents in the Open Ocean during Typhoon Lan (2017) [J]. Remote Sensing, 10, 875, doi: 10.3390/rs10060875. (IF:4.509)
  [9]Zhang, G.*, & Perrie, W. (2018), Symmetric Double-Eye Structure in Hurricane Bertha (2008) Imaged by SAR [J]. Remote Sensing, 10, 1292, doi: 10.3390/rs10081292. (IF:4.509)
  [10]Zhang, G., Li, X.*, Perrie, W., Hwang, P., Zhang, B., & Yang, X. (2017). A Hurricane Wind Speed Retrieval Model for C-band RADARSAT-2 Cross-polarization ScanSAR Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 55(8), 4766-4774. (IF:5.855) 
  [11]Zhang, G., Perrie, W., Li, X.*, & Zhang, J. A. (2017). A Hurricane Morphology and Sea Surface Wind Vector Estimation Model Based on C-Band Cross-Polarization SAR Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 55(3), 1743-1751. (IF:5.855) 
  [12]Zhang, G., Li, X.*, Perrie, W., Zhang, B., & Wang L. (2016), Rain effects on the hurricane observations over the ocean by C-band Synthetic Aperture Radar [J], Journal of Geophysical Research: Ocean, 121(1),14-26. (Top期刊,IF:3.559)
  [13] Zhang, G., Zhang, B., Perrie, W., Xu, Q., & He, Y. (2014). A Hurricane Tangential Wind Profile Estimation Method for C-Band Cross-Polarization SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 52(11), 7186-7194. (IF:5.855)   
  [14] Zhang, G., Xu, Q., Gong, Z., Cheng, Y., Wang, L., & Ji, Q. (2014). Annual and Interannual Variability of Scatterometer Ocean Surface Wind over the South China Sea [J]. Journal of Ocean University of China, 13(2), 191-197. (海洋学T1期刊)
  [15] Fang, H., Perrie, W., Zhang, G., Zhang*, P., Chen, L., & Xu, C. (2025). Tropical cyclone center estimates purely from FY‐3E WindRAD measurements in the dawn‐dusk orbit. Geophysical Research Letters, 52, e2025GL115872. https://doi.org/10.1029/2025GL115872
  [16] He Fang, William Perrie, Guosheng Zhang*, Chao Xu, Pakwai Chan, Hui Su, Gang Zheng, Jingsong Yang, (2025). Radiometer-only tropical cyclone center location, intensity and wind structure estimation in eight years of SMAP data, Atmospheric Research, 107945, ISSN 0169-8095. (唯一通讯)
  [17] He Fang, William Perrie, Lin Chen, Hui Su, Pakwai Chan, Guosheng Zhang*, (2025). Estimation of Dynamic Characteristic Parameters for Long-Lived Tropical Cyclone Freddy from Active/Passive Spaceborne Microwave Sensors, Advances in Atmospheric Sciences. (唯一通讯)
  [18] Sun, T.; Zhang, G.*; Perrie, W.; Zhang, B.; Guan, C.; Khurshid, S.; Warner, K.; Sun, J. (2018) Ocean Wind Retrieval Models for RADARSAT Constellation Mission Compact Polarimetry SAR. Remote Sens. 2018, 10, 1938. (IF:4.509)
  [19] Hua, H.; Zhang, B.; Zhang, G.*; Perrie, W.; Chen, C.; Li, Y. (2022) Aircraft and Satellite Observations of Vortex Evolution and Surface Wind Asymmetry of Concentric Eyewalls in Hurricane Irma. Remote Sens., 14, 2158. https://doi.org/10.3390/rs14092158  (IF:5.349)
  [20]Fang, H.; Perrie, W.; Zhang, G.*; Xie, T.; Khurshid, S.; Warner, K.; Yang, J.; He, Y. (2019) Ocean Surface Wind Speed Retrieval Using Simulated RADARSAT Constellation Mission Compact Polarimetry SAR Data. Remote Sens., 11, 1876. (IF:4.509)
  [21] Sun, R.*, Zhai, F., Zhang, G.*, Gu, Y., & Chi, N. (2020). Cold Water in the Lee of the Batanes Islands in the Luzon Strait [J]. Journal of Ocean University of China, 9 (6), 1245-1254. (海洋学T1期刊)
  [22] 张国胜,方贺,孙轶,微波遥感资料在台风丰满度提取中的应用研究,大气科学,2025。
  [23] 张国胜, 徐青, 程永存, 张苏平, & 王蕾. (2012). 热带印度洋偶极子区域海表面温度特征与海流相关性分析[J]. 河海大学学报(自然科学版), 40(4),455-460.
  [24] 张国胜,张彪,王蕾,& 杜岩. (2014). 基于卫星高度计的热带印度洋Rossby 波传播速度与变形半径的提取[J]. 热带海洋学报, 33(5): 22-27.
  [25] 谢骏成,张国胜*, 徐青, & 张彪. (2015). 热带印度洋海温与海表面高度相关关系分析[J]. 河海大学学报(自然科学版).
  [26] Li, C., Li, X., Zhang, G., Boswell, K. M., Kimball M. E., Shen, D., & Lin J., (2016), Estuarine Plume: A Case Study by Satellite SAR Observations and In Situ Measurements[J], IEEE Transactions on Geoscience and Remote Sensing. (IF:5.855)
  [27] Fang, H., Xie, T., Perrie, W., Zhang, G., Yang, J., He, Y. (2018) Comparison of C-Band Quad-Polarization Synthetic Aperture Radar Wind Retrieval Models [J]. Remote Sensing, 10, 1448, doi: 10.3390/rs10091448. (IF:4.509) 
  [28] Wang, L., Perrie, W., Long, Z., Blokhina, M., Zhang, G., Toulany, B. & Zhang, M., (2018), The Impact of Climate Change on the Wave Climate in the Gulf of St. Lawrence [J], Ocean Modelling, DOI: 10.1016/j.ocemod.2018.06.003, 128, 87-101. (IF:3.013)
  [29] Zhang, L.; Liu, G.; Perrie, W.; He, Y.; Zhang, G. Typhoon/Hurricane-Generated Wind Waves Inferred from SAR Imagery. Remote Sens. 2018, 10, 1605. (IF:4.509)
  [30] Fan, S., Zhang, B., Mouche, A. A., Perrie, W., Zhang, J. A., & Zhang, G. (2019). Estimation of Wind Direction in Tropical Cyclones Using C-Band Dual-Polarization Synthetic Aperture Radar. IEEE Transactions on Geoscience and Remote Sensing, 58(2), 1450-1462. (IF:5.855)
  [31] Zhang, B., Mouche, A., Lu, Y., Perrie, W., Zhang, G., & Wang, H. (2019). A geophysical model function for wind speed retrieval from C-band HH-polarized synthetic aperture radar. IEEE Geoscience and Remote Sensing Letters, 16(10), 1521-1525.
  [32] Lu, Y., Zhang, B., Perrie, W., Mouche, A., & Zhang, G. (2020). CMODH validation for C-band synthetic aperture radar HH polarization wind retrieval over the ocean. IEEE Geoscience and Remote Sensing Letters. (IF:3.833)
  [33] Zhang, B., Lu, Y., Perrie, W., Zhang, G., & Mouche, A. (2021). Compact Polarimetry Synthetic Aperture Radar Ocean Wind Retrieval: Model Development and Validation. Journal of Atmospheric and Oceanic Technology. (IF: 1.952)
  [34] Zhang, G., Li, X., Zhang, B., & Perrie, W., (2016, July), Non-Bragg scattering contributions to the dual-polarized SAR imaging of Hurricane Earl. In Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International (pp. 2239-2242). IEEE. (EI收录)  
  [35] Zhang, B., Zhang, G.*, Perrie, W., Xu, Q., & He, Y. A New Semi-Empirical Sea Surface Microwave Backscatter Model Coupled with the Rain Effect[J]. IGARSS2014. (EI收录)
  [36] Perrie, W., Zhang, G.*, Zhang, B., & Li, X., (2016, July), Mechanisms for rain effects on Synthetic Aperture Radar. In Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International (pp. 2216-2219). (EI收录)
  [37] Xu, Q., Zhang, G., Cheng, Y., Ji, Q., Wang, L., & Zhao, Y. (2011). Wind Resource Estimation using QuikSCAT Ocean Surface Winds[J]. ISOPE:506-510. (EI收录)
  [38] Xu, Q., Zhang, G., Cheng, Y., Ji, Q., & Lian, J. (2013). Satellite SAR detection of hurricane Helene (2006)[J]. ISOPE. (EI收录)
  

 

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