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陈双玲个人简介
编辑 ：Argo野外站办公室 时间
：2020-07-06 10:18:39 访问次数 ：
陈双玲，女，1988年生，博士，自然资源部第二海洋研究所副研究员，毕业于美国南佛罗里达大学海洋科学专业， 2018年底回国工作。主要从事水色卫星遥感和海洋碳循环，对海表pCO2的水色卫星反演和变化机制，海洋灾害（溢油，赤潮），海洋初级生产力等方面开展了较深入的研究，在利用机器学习建立卫星反演算法等方面具有一定的研究经验。发表SCI论文9篇（第一作者7篇），出版论著1部。作为骨干成员参与了国家重大和重点研发计划等多项课题的申请，目前主持国家自然科学青年基金1项，2020年入选“浙江省钱江人才计划”。
- 承担的主要项目
基于卫星遥感算法的北太平洋新生产力时空格局研究, 国家自然科学基金青年项目,25万元，项目负责人
- 代表性论著
陈双玲等. Environmental controls of surface water pCO2 in different coastal environments: Observations from marine buoys. Continental Shelf Research, 2019, 183, 73-86.
陈双玲等. A machine learning approach to estimate surface ocean pCO2 from satellite measurements. Remote sensing of environment, 2019, 228, 203-226.
陈双玲等. Improving ocean color data coverage through machine learning. Remote sensing of environment, 2019, 222, 286-302.
陈双玲等. Estimating sea surface salinity in the northern Gulf of Mexico from satellite ocean color measurements. Remote sensing of environment, 2017, 201, 115-132.
陈双玲等. Estimating surface pCO2 in the northern Gulf of Mexico: Which remote sensing model to use? Continental Shelf Research, 2017, 151, 94-110.
陈双玲等. Remote estimation of surface pCO2 on the West Florida Shelf. Continental Shelf Research, 2016, 128, 10-25.
陈双玲等. In search of oil seeps in the Cariaco basin using MODIS and MERIS medium-resolution data. Remote Sensing Letters, 2014, 5(5): 442-450.
陈双玲等. A machine learning approach to estimate surface ocean pCO2 from satellite measurements. Remote sensing of environment, 2019, 228, 203-226.
陈双玲等. Improving ocean color data coverage through machine learning. Remote sensing of environment, 2019, 222, 286-302.
陈双玲等. Estimating sea surface salinity in the northern Gulf of Mexico from satellite ocean color measurements. Remote sensing of environment, 2017, 201, 115-132.
陈双玲等. Estimating surface pCO2 in the northern Gulf of Mexico: Which remote sensing model to use? Continental Shelf Research, 2017, 151, 94-110.
陈双玲等. Remote estimation of surface pCO2 on the West Florida Shelf. Continental Shelf Research, 2016, 128, 10-25.
陈双玲等. In search of oil seeps in the Cariaco basin using MODIS and MERIS medium-resolution data. Remote Sensing Letters, 2014, 5(5): 442-450.
