姓名陈双玲
出生年月1988年12月
学位学历博士
职称副研究员
职务
研究方向水色卫星遥感和海洋碳循环
联系方式电话：**
邮箱：slchen19@126.com

工作简历2018年12月- 至今 副研究员，海洋二所
2013年8月-2018年12月 博士 美国南佛罗里达大学

科研成果及奖励科研成果：
1. 不同海洋过程主导的海域，海表二氧化碳分压（pCO2）的卫星遥感反演算法
2. 多源河流输入影响下，海表盐度的水色卫星遥感反演
3. 非理想观测条件下，关于水色卫星缺测数据的有效恢复
奖励：
2018, 海洋高级专业技术人才，自然资源部第二海洋研究所

代表性发表论文(1) Chen, S., & Hu, C. (2019). Environmental controls of surface water pCO2 in different coastal environments: Observations from marine buoys. Continental Shelf Research, 183, 73-86.
(2) Androulidakis, Y., Kourafalou, V., Le Hénaff, M., Kang, H., Sutton, T., Chen, S., Hu, C., & Ntaganou, N. (2019). Offshore spreading of Mississippi waters: pathways and vertical structure under eddy influence. Journal of Geophysical Research: Oceans. doi: 10.1029/2018JC014661.
(3) Chen, S., Hu, C., Barnes, B. B., Wanninkhof, R., Cai, W. J., Barbero, L., & Pierrot, D. (2019). A machine learning approach to estimate surface ocean pCO2 from satellite measurements. Remote sensing of environment, 228, 203-226.
(4) Chen, S., Hu, C., Barnes, B. B., Xie, Y., Lin, G., & Qiu, Z. (2019). Improving ocean color data coverage through machine learning. Remote sensing of environment, 222, 286-302.
(5) Chen, S., and C. Hu (2017). Estimating sea surface salinity in the northern Gulf of Mexico from satellite ocean color measurements. Remote Sensing of Environment, 201, 115-132.
(6) Chen, S., Hu, C., Cai, W. J., & Yang, B. (2017). Estimating surface pCO2 in the northern Gulf of Mexico: Which remote sensing model to use? Continental Shelf Research, 151, 94-110.
(7) Chen, S., C. Hu, R. H. Byrne, L. L. Robbins, and B. Yang (2016). Remote estimation of surface pCO2 on the West Florida Shelf. Continental Shelf Research, 128, 10-25.
(8) Hu, C., Chen, S., M. Wang, B. Murch, and J. Taylor (2015). Detecting surface oil slicks using VIIRS nighttime imagery under moon glint: a case study in the Gulf of Mexico. Remote Sensing Letters, 6:295-301.
(9) Chen, S., and C. Hu (2014). In search of oil seeps in the Cariaco basin using MODIS and MERIS medium-resolution data. Remote Sensing Letters. 5(5): 442-450.
专著
Murk, A. J., Hollander, D. J., Chen, S., Hu, C., Liu, Y., Vonk, S. M., ... & Foekema, E. M. (2020). A Predictive Strategy for Mapping Locations Where Future MOSSFA Events Are Expected. In Scenarios and Responses to Future Deep Oil Spills (pp. 355-368). Springer, Cham.