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潘晓驹
来源:海洋科学与技术学院2022年06月13日
潘晓驹,男,1973年5月,福建福州人,博士,副教授,硕士生导师。
联系方式:xiaojupan@hntou.edu.cn
教育与工作经历:
2020年10月-至今:海南热带海洋学院,威尼斯官方入口—welcome,副教授。
2015年1月-2020年7月:中国海洋大学,海洋化学理论与工程技术教育部重点实验室,副教授。
2009年9月-2014年12月:台湾中央研究院环境变迁研究中心,博士后。
2006年12月-2009年9月:美国宇航局戈达德太空飞行中心(NASA Goddard Space Flight Center), 博士后。
2000年8月-2007年5月:美国欧道明大学(Old Dominion University),海洋学专业,博士学位 。
1997年9月-2000年7月:中国科学院海洋研究所,水产养殖专业,硕士学位。
1992年9月-1996年7月:厦门大学,生物化学专业,学士学位。
研究领域与兴趣:
结合海色遥感的海洋生物地球化学过程研究,研究方向包括海洋浮游植物种群结构的遥感研究、边缘海海色反演技术的发展、海洋生态系统对气候和环境变迁的响应、海洋生物地球化学过程及调控机理等。
科研项目:
1.中国科学院,海洋大科学研究中心重点部署项目,COMS2019Q05,“黄东海铜藻金潮的关键过程与生物学机制研究”课题3——金潮的监测防控对策研究,201911-202210。(主持)
2.国家自然科学基金委,重点项目,41630966,“人类活动和自然变化对长江口-闽浙近海生态结构驱动机制的古-今对比研究”,201701-202112。(参与)
3.科技部,国家重点研发计划,全球气候变化及应对专项课题3,2016YFA0601403,“沉积记录重建地史过程中的海洋碳汇演变”,201607-202106。(参与)
4.青岛海洋科学与技术国家实验室,鳌山科技创新计划项目,2016ASKJ02,“近海生态灾害发生机理与防控策略”,201603-201712。(参与)
5.山东省,重点研发计划项目,2015GSF117017,“浒苔与黄海主要藻类的色素组成差异及其在浒苔的海色遥感中的应用”,201601-201712。(主持)
6.教育部,中央高校基本科研业务费项目,841513037,“我国陆架海颗粒有机碳时空分布的器测与卫星水色反演的比较研究”,201510-201712。(主持)
7.教育部,中央高校基本科研业务费项目,201512011,“北南海初级生产力的遥感研究”,201501-201712。(主持)
发表论文、论著:
1.Pan, X., G. T. F. Wong, T.-Y. Ho, J.-H. Tai (2019). Diel variability of vertical distributions of chlorophyll a at the SEATS and ALOHA stations: implications on remote sensing interpretations. International Journal of Remote Sensing, 40 (8): 2916-2935.
2.Pan, X., G. T. F. Wong, T.-Y. Ho, J.-H. Tai, H. Liu, J. Liu, F.-K. Shiah (2018). Remote sensing of surface [nitrite+nitrate] in river-influenced shelf-seas: The northern South China Sea Shelf-sea. Remote Sensing of Environment, 210, 1-11.
3.Pan, X., G. T. F. Wong, T. M. DeCarlo, J.-H. Tai, A. L. Cohen (2017). Validation of the remotely sensed nighttime sea surface temperature in the shallow waters at the Dongsha Atoll. Terrestrial, Atmospheric and Oceanic Sciences, 28(3),517-524.
4.Tai, J.-H., G. T. F. Wong, X. Pan (2017). Upper water structure and mixed layer depth in tropical waters: The SEATS station in the northern South China Sea. Terrestrial, Atmospheric and Oceanic Sciences, 28(6),1019-1032.
5.Pan, X., G. T. F. Wong, J.-H. Tai, T.-Y. Ho (2015). Climatology of physical hydrographic and biological characteristics of the northern South China Sea Shelf-sea (NoSoCS) and adjacent waters: Observations from satellite remote sensing. Deep-Sea Research II, 117, 10-22.
6.Pan, X., and G. T. F. Wong (2015). An improved algorithm for remotely sensing marine dissolved organic carbon: climatology in the northern South China Sea Shelf-sea and adjacent waters. Deep-Sea Research II, 117, 131-142.
7.Wong, G. T. F., X. Pan, K.-Y. Li, F.-K. Shiah, T.-Y. Ho, X. Guo (2015). Hydrography and nutrient dynamics in the Northern South China Sea Shelf-sea (NoSoCS). Deep-Sea Research II, 117, 23-40.
8.Ho, T.-Y., X. Pan, H.-H. Yang, G. T. F. Wong, F.-K. Shiah (2015). Controls on temporal and spatial variations of phytoplankton pigment distribution in the northern South China Sea. Deep Sea Research II, 117, 65-85.
9.Pan, X., G. T. F. Wong, T.-Y. Ho, F.-K. Shiah, and H. Liu (2013). Remote sensing of picophytoplankton distribution in the northern South China Sea. Remote Sensing of Environment, 128, 162-175.
10.Pan, X., G. T. F. Wong, F.-K. Shiah, and T.-Y. Ho (2012). Enhancement of biological productivity by internal waves: Observations in the summertime in the northern South China Sea. Journal of Oceanography, 68, 427-437.
11.Pan, X., A. Mannino, H. G. Marshall, K. C. Filippino, and M. R. Mulholland (2011). Remote sensing of phytoplankton community composition along the northeast coast of the United States. Remote Sensing of Environment, 115, 3731-3747.
12.Pan, X., A. Mannino, M. E. Russ, S. B. Hooker, and L. W. Harding (2010). Remote Sensing of Phytoplankton Pigment Distribution in the United States Northeast Coast. Remote Sensing of Environment, 114, 2403-2416. 
13.Pan, X., and R. C. Zimmerman (2010). Modeling the vertical distributions of downwelling plane irradiance and diffuse attenuation coefficient in optically deep waters. Journal of Geophysical Research, 115, C08016.
14.Pan, X., A. Mannino, M. E. Russ, and S. B. Hooker (2008). Remote sensing of the absorption coefficients and chlorophyll a concentration in the United States southern Middle Atlantic Bight from SeaWiFS and MODIS-Aqua. Journal of Geophysical Research, 113, C11022.
15.刘娟娟,郭金强,潘晓驹(2020). 基于CDOM吸收系数的长江口DOC浓度反演模型的优化. 中国海洋大学学报(自然科学版),50(6),80-87.
16.潘晓驹,《水色学概览》(第五章 水色学与水质监测),厦门大学出版社,2019。

 
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