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a 日本亚洲欧洲免费天堂:邵伟增

发布者:刘丙宝发布时间:2021-03-12浏览次数:10

  

、教育经历:

20099月至20131  中国海洋大学,海洋与大气学院,物理海洋学,理学博士

2010 9月至20129月德国宇航中心,国家留学基金委博士联合培养项目

2007 9月至20096月中国海洋大学,海洋与大气学院,物理海洋学,硕博连读

2003 9月至20076  江苏科技大学,机械与动力工程学院,工学学士

 

二、工作经历:

20211月至今  上:Q蟠笱,海洋科学学院,教授

20181 202112  卫星海洋环境动力学国家重点实验室,访问青年海星学者

20131月至202012  浙江海洋大学,海洋科学与技术学院,副教授

 

三、研究方向:

合成孔径雷达海洋信息提取;海浪与小尺度海气相互作用;台风过程的数值模拟; 极地海浪数值模拟。

 

四、主持的科研项目:

  1. 基于星载合成孔径雷达的北极边缘冰区海浪探测研究,国家自然科学基金面上项目,2021-2024,61

  2. 基于海浪信息的X波段合成孔径雷达台风风速提取研究,国家自然科学基金青年项目,2019-2021,25

  3. 舟山海域海上溢油一体化预测预警系统的研发,舟山市科技计划重点项目, 2019-2021, 30

  4. 海岸带和沿海地区全球变化综合风险研究,国家重点研发计划, 2017-2022,纵向合作(课题任务负责人), 113

  5. 基于遥感数据的典型海域环境电磁特性研究,十三五装备预研共用技术和领域基金重点项目, 2018-2020,纵向合作(项目任务负责人), 37万,已结题

  6. 基于高分3号遥感卫星与数值模拟的台风以及台风浪监测预报技术的开发,浙江省基础公益研究项目,2019-2020,10万,已结题

  7. 星载合成孔径雷达的降雨和台风浪遥感探测研究,浙江省省属高校基本科研业务费,2019-2020,5万,已结题

  8. 合成孔径雷达对台风监测的应用研究, 浙江省自然科学基金青年项目, 2014-2016, 5万,已结题

  9. 基于遥感与水声技术油库溢油监测预警系统的开发,浙江省公益技术研究计划,2015-2017,15万,已结题

 

五、学术论文 (SCI/SCI-E,*通讯作者):

  1. Shao W, Yu W, Jiang X, Shi J, Wei Y. Analysis of wave distribution using WAVEWATCH-III model in Arctic Ocean [J]. Journal of Ocean University of China, 2021, doi: 10.1007/s11802-021-4811-3

  2. Zhao X, Shao W*, Zhao L, Gao Y, Hu Y, Yuan X. Impact of rain on wave retrieval from Sentinel-1 synthetic aperture radar images in tropical cyclone [J]. Advances in Space Research, 2021, doi: 10.1016/j.asr.2021.01.050

  3. Shao W, Hu Y, Nunziata F, Corcione, V, Migliaccio M, Li X. Cyclone wind retrieval based on X-band SAR -derived wave parameter estimation [J]. Journal of Atmospheric and Oceanic Technology, 2020c, 37(10): 1907-1924.

  4. Yang Z, Shao W*, Ding Y, Shi J, Ji Q. Wave simulation by the SWAN model and FVCOM considering the sea-water level around the Zhoushan Islands[J]. Journal of Marine Science and Engineering, 2020, 8(10): 783.

  5. Hu Y, Shao W*, Wei Y, Zuo J. Analysis of typhoon-induced waves along typhoon tracks in the western North Pacific Ocean, 1998-2017 [J]. Journal of Marine Science and Engineering, 2020, 8(7): 521.

  6. Shao W, Jiang X, Nunziata, F, Marino A, Yang Z, Zhang Y, Corcione V. Analysis of waves observed by synthetic aperture radar across ocean fronts [J]. Ocean Dynamics, 2020b, 79(11): 1397-1407.

  7. Hu Y, Shao W*, Shi J, Sun J, Ji Q, Cai L. Analysis of the typhoon wave distribution simulated in WAVEWATCH-III model in the context of Kuroshio and wind-induced current [J]. Journal of Oceanology and Limnology, 2020, 38(6): 1692-1710.

  8. Shao W, Hu Y, Zheng G, Cai L, Yuan X, Zuo J. Sea state parameters retrieval from cross-polarization Gaofen-3 SAR data [J]. Advances in Space Research, 2020, 65(3): 1025-1034.

  9. Zhu S, Shao W*, Marino A, Sun J, Yuan X. Semi-empirical algorithm for wind speed retrieval from Gaofen-3 quad-polarization strip mode SAR data [J]. Journal of Ocean University of China, 2020, 19(1): 23-35.

  10. Shao W, Ding Y, Li J, Gou S, Nunziata F, Yuan X, Zhao L. Wave retrieval under typhoon conditions using a machine learning method applied to Gaofen-3 SAR imagery [J]. Canadian Journal of Remote Sensing, 2019c, 45(6):723-732.

  11. Shao W, Zhu S, Zhang X, Gou S, Jiao C, Yuan X, Zhao L. Intelligent wind retrieval from Chinese Gaofen-3 SAR imagery in quad-polarization [J]. Journal of Atmospheric and Oceanic Technology, 2019b, 36(11):2121-2138.

  12. Shi J, Hu J, Shao W*, Wang X, Yuan X, Zhao L, Li X. The impact of rain to observed signal from Chinese Gaofen-3 synthetic aperture radar in typhoons [J]. Acta Oceanologica Sinica, 2019, 38(11):121-133.

  13. Ding Y, Zuo J, Shao W*, Shi J, Yuan X, Sun J, Hu J, Li X. Wave parameters retrieval for dual-polarization C-band synthetic aperture radar using a theoretical-based algorithm under cyclonic conditions [J]. Acta Oceanologica Sinica, 2019, 38(5):21-31.

  14. Sheng Y, Shao W*, Li S, Zhang Y, Yang H, Zuo J. Evaluation of typhoon waves simulated by WaveWatch-III model in shallow waters around Zhoushan islands [J]. Journal of Ocean University of China, 2019, 18(2):365-375.

  15. Shao W, Zhu S, Sun J, Yuan X, Sheng Y, Zhang Q, Ji Q. Evaluation of wind retrieval from co-polarization Gaofen-3 SAR imagery around China Seas [J]. Journal of Ocean University of China, 2019, 18(1):80-92.

  16. Zhu S, Shao W*, Marino A, Shi J, Sun J, Yuan X, Hu J,Yang D, Zuo J. Evaluation of Chinese quad-polarization Gaofen-3 SAR wave mode data for significant wave height retrieval [J]. Canadian Journal of Remote Sensing, 2018, 44(6):588-600.

  17. Shao W, Hu Y, Yang J, Nunziata F, Sun J, Li H, Zuo J. An empirical algorithm to retrieve significant wave height from Sentinel-1 synthetic aperture radar imagery collected under cyclonic conditions [J]. Remote Sensing, 2018, 10(9):1367.

  18. Shao W, Sheng Y, Li H, Shi J, Ji Q, Tan W, Zuo J. Analysis of wave distribution simulated by WAVEWATCH-III model in typhoons passing Beibu Gulf, China [J]. Atmosphere, 2018, 9(7):265.

  19. Ji Q, Shao W*, Sheng Y, Yuan X, Sun J, Zhou W, Zuo J. A promising method of typhoon wave retrieval from Gaofen-3 synthetic aperture radar image in VV-polarization [J]. Sensors, 2018, 18(7):2064.

  20. Sheng Y, Shao W*, Zhu S, Sun J, Yuan X, Li S, Shi J, Zuo J. Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm [J]. Acta Oceanologica Sinica, 2018, 37(6):1-10.

  21. Shao W, Yuan X, Sheng Y, Sun J, Zhou W, Zhang Q. Development of wind speed retrieval from cross-polarization Chinese Gaofen-3 synthetic aperture radar in typhoons [J]. Sensors, 2018, 18(2):412.

  22. Shao W, Li X, Hwang P, Zhang B, Yang X. Bridging the gap between cyclone wind and wave by C-band SAR measurements [J]. Highlights by Journal of Geophysical Research: Oceans, 2017, 122(7):6714-6724.

  23. Shao W, Wang J, Li X, Sun J. An empirical algorithm for wave retrieval from co-polarization X-Band SAR imagery [J]. Remote Sensing, 2017, 9(7):711.

  24. Shao W, Sheng Y, Sun J. Preliminary assessment of wind and wave retrieval from Chinese Gaofen-3 SAR imagery [J]. Sensors, 2017, 17(8) :1705.

  25. Lin B, Shao W*, Li X, Li H, Du X, Ji Q, Cai L. Development and validation of an ocean wave retrieval algorithm for VV-polarization Sentinel-1 SAR data [J]. Acta Oceanologica Sinica, 2017, 36(7):95-101.

  26. Shao W, Zhang Z, Li X, Li H. Ocean wave parameters retrieval from Sentinel-1 SAR imagery[J], Remote Sensing, 2016, 8(9):707.

  27. Shao W, Zhang Z, Li X, Wang W. Sea surface wind speed retrieval from TerraSAR-X HH-polarization data using an improved polarization ratio model [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(11):4991-4997.

  28. Shao W, Li X, Sun J. Ocean wave parameters retrieval from TerraSAR-X images validated against buoy measurements and model results [J]. Remote Sensing, 2015, 7(10):12815-12828.

  29. Shao W, Li X M, Lehner S, Guan C. Development of polarization ratio model for sea surface wind field retrieval from TerraSAR-X HH polarization data [J]. International Journal of Remote Sensing, 2014, 35(11):4046-4063.

  30. Shao W, Sun J, Guan C, Sun Z. A method for sea surface wind field retrieval from SAR image mode data [J]. Journal of Ocean University of China, 2014, 13(2):198-204.

 

六、专著/章节:

  1. Shao W, Li X, Yang X. Retrieval of winds and waves from synthetic aperture radar imagery. In: Barale V., Gade M. (eds) Remote Sensing of the Asian Seas. Springer, Cham, 2019, 285-303.

  2. 邵伟增,袁新哲,李欢,陈鹏,郑罡编著,星载合成孔径雷达海洋应用技术[M],北京:海洋出版社,ISBN:978-7-5210-0650-6.

 

七、知识产权:

  1. 邵伟增,李欢,孙展凤. SAR海面仿真方法及装置, 专利号: ZL 2017103484170

  2. 邵伟增,孙建,孙展凤.一种海面风场和海浪联合反演的方法, 专利号: ZL 2014100815695

  3. 邵伟增,孙建,孙展凤.一种海面风场和海浪联合反演的装置, 专利号: ZL 2014100814974


八、科技奖励:

  1. 海洋灾害过程监测预警报及影响评估技术,发明创业成果奖二等奖,中国发明协会,排名第1,2018

  2. 海洋灾害过程对沿海地区环境生态影响评估关键技术及应用,中国产学研合作创新成果奖一等奖,中国产学研合作促进会,排名第3,2018

  3. 海洋内孤立波综合分析系统, 军队科技进步奖三等奖,排名第5,2018

 

 

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