Dr. Chen Shuangling was born in 1988, she is now an Associate Professor and master student advisor in the State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography. Her research interests include but not limited to ocean color remote sensing, air-sea CO2 fluxes, and ocean carbon cycling. At present, Dr. Chen hosts one project from National Natural Science Foundation of China (NSFC), participate in one key project from NSFC as PI for a subproject, and participate in one key project from the National Key Research and Development Program of China. Dr. Chen has published 17 SCI papers, and contributed to one chapter of a scientific book published in Springer. She has gained significant achievements in ocean color remote sensing of partial pressure of surface seawater CO2 and sea surface salinity. Meanwhile, she serves as a reviewer of over ten main academic journals such as Remote Sensing of Environment and Journal of Geophysical Research: Oceans. She is also the winner of the Qianjiang Talent Program of Zhejiang Province in 2020.

2008/9-2012/6：Tianjin University of Science and Technology，Marine Technology，Bachelor
2013/8-2018/6:University of South Florida，Marine Science，PhD (Advisor: Professor Chuanmin Hu)

2018 Talent Program of the Senior Technology of Second Institute of Oceanography
2020 Qianjiang Talent Program of Zhejiang Province；
2020 Full member of SCOR # 162 Working Group；
2021 Member of OASIS Program of UN Ocean Decade

National Natural Science Foundation of China, The temporal and spatial variation patterns of new production in the North Pacific based on satellite remote sensing, 2020.01-2022.12, PI, ongoing.
National Natural Science Foundation of China, Identification and transport of anthropogenic iron and nitrate in the Northwest Pacific Ocean and their impacts on marine new production, 2021.01-2025.12, participate (PI on subproject), ongoing.
National Key Research and Development Program of China, Capacity building on uses of satellite remote sensing for monitoring marine and coastal ecosystems in Pacific island countries, 2022.01-2024.12，participate, ongoing.

【1】Chen, S.*, Smith, W., Yu. X., (2021). Revisiting the ocean color algorithms for particulate organic carbon and chlorophyll-a concentrations in the Ross Sea, Journal of Geophysical Research: Oceans, 126(8), e2021JC017749, doi: 10.1029/2021JC017749.
【2】Yu, X., Chen, S.*, & Chai, F. (2021). Remote Estimation of Sea Surface Nitrate in the California Current System from Satellite Ocean Color Measurements. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-17.
【3】Chen, S., Sutton, A. J., Hu, C., & Chai, F. (2021). Quantifying the Atmospheric CO2 Forcing Effect on Surface Ocean pCO2 in the North Pacific Subtropical Gyre in the Past Two Decades. Frontiers in Marine Science, 8, 73-86.
【4】Chen, S., Wells, M. L., Huang, R. X., Xue, H., & Xi, J., Chai, F. (2021). Episodic subduction patches in the western North Pacific identified from BGC-Argo float data. Biogeosciences, 18(19), 5539-5554.
【5】Xing, X., Wells, M. L., Chen, S., Lin, S., & Chai, F. (2020). Enhanced winter carbon export observed by BGC-Argo in the Northwest Pacific Ocean. Geophysical Research Letters, 47(22), e2020GL089847.
【6】Fan, G., Han, Z., Ma, W., Chen, S., Chai, F., Mazloff, M. R., ... & Zhang, H. (2020). Southern Ocean carbon export efficiency in relation to temperature and primary productivity. Scientific reports, 10(1), 1-11.
【7】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
【8】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.
【9】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.
【10】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.
【11】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.
【12】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.
【13】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.
【14】Hu, C., S. Chen, 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.
【15】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.