Dr Chengcheng Qian | Oceanography | Best Researcher Award

Dr Chengcheng Qian | Oceanography | Best Researcher Award

Senior Engineer atย North China Sea Marine Forecasting and Hazard Mitigation Center,Ministry of Natural Resources , China

Chengcheng Qian, born on July 21, 1986, is a distinguished researcher in ocean remote sensing and big data applications in marine science. Currently based at the North China Sea Marine Forecasting and Hazard Mitigation Center, she has a strong background in cartography and geographic information systems, enriched by her experiences as a visiting scholar in Germany and a joint Ph.D. candidate in the USA.

Profile

orcid

Academic Background

  • Ph.D. in Cartography and Geographic Information System
    Ocean University of China, 2009 – 2015
  • Visiting Scholar
    University of Bremen, Germany, September 2015
  • Joint Ph.D. in Ocean Remote Sensing Application
    University of California, Irvine, USA, 2013 – 2014

Professional Experience

  • Postdoctoral Researcher
    Various projects focusing on marine big data, ocean remote sensing, and climate studies.
  • Principal Investigator (PI)
    Led multiple projects funded by national and provincial programs, including research on precipitation’s influence on sea-air carbon dioxide flux and oil spill extraction using big data mining.

Research Focus

  • Analysis of global precipitation under climate change
  • Quality control of marine big data
  • Investigation of wind-induced rain drift in satellite measurements

Research Interests ๐Ÿ”

Her research interests encompass ocean remote sensing applications and big data mining, aimed at understanding climate change effects and enhancing marine data quality.

Awards and Honors ๐Ÿ†

Chengcheng has received several prestigious awards, including the Doctoral Candidate Creative Foundation from Ocean University of China and the China Postdoctoral Science Foundation, recognizing her contributions to marine research.

Strengths for the Award ๐ŸŒŸ

Her strengths include a robust analytical background, experience in interdisciplinary research, and the ability to lead innovative projects that bridge technology and marine science.

Areas for Improvement ๐Ÿ“ˆ

Chengcheng aims to enhance her collaboration with international research networks and develop advanced data analytics skills to further innovate in oceanography.

Projects

  • Doctoral Candidate Creative Foundation of Ocean University of China: Global precipitation analysis under global warming based on remote sensing data (PI, 2014-2015).
  • China Postdoctoral Science Foundation: Oil spill extraction based on marine big data mining (PI, 2015-2017).
  • National Natural Science Foundation: Research on precipitation influence on sea-air carbon dioxide flux (PI, 2020-2022).
  • National Key Research and Development Program of China: Cloud database construction (Task PI, 2018-2021).
  • Shandong Provincial Key Laboratory of Marine Ecology and Environment & Disaster Prevention and Mitigation Program (PI, 2020-2021).
  • Hubei Key Laboratory of Marine Geology Program (PI, 2023-2025).

Publications ๐Ÿ“šย  Oceanography

Chengcheng has authored and co-authored numerous impactful publications, including:

  • Qian, C., J.-Y. Yu, and G. Chen (2014). Decadal summer drought frequency in China: The increasing influence of the Atlantic Multi-decadal Oscillation, Environmental Research Letters, 9(12): 124004.
  • Qian, C., and G. Chen (2014). Warmer-get-wetter or wet-get-wetter? A criterion to classify oceanic precipitation, Journal of Ocean University of China, 13(4): 552-560.
  • Qian, C., H. Jiang, X. Wang, and G. Chen (2019). Climatology of Wind-Seas and Swells in the China Seas from Wave Hindcast, Journal of Ocean University of China, 18(6): 1-11.
  • Qian, C., A. Liu, R. Huang, Q. Liu, W. Xu, S. Zhong, and L. Yu (2019). Quality control of marine big dataโ€”a case study of real-time observation station data in Qingdao, Journal of Oceanology and Limnology, https://doi.org/10.1007/s00343-019-8258-y.
  • Qian, C., and G. Chen, D. Guo, and W. Xu (2018). Vertical structure analysis of ocean temperature and salinity using depth series EOF method with Argo data, Proceedings of 2018 International Conference on Big Data Technologies.
  • Qian, C., and G. Chen (2011). Impact analysis and error correction of wind induced rain drift in satellite remote sensing measurement, Journal of Remote Sensing, 15(5): 1079-1091.
  • Qian, C., B. Huang, X. Yang, and G. Chen (2021). Data science for oceanography: from small data to big data, Big Earth Data, DOI: 10.1080/20964471.2021.1902080.
  • Qian, C., and G. Chen (2018). Big Data Science for Ocean: Present and Future, Bulletin of the Chinese Academy of Sciences, 8:884-891.
  • Cao, C., G. Chen, C. Qian, and J. Shang (2022). Spatiotemporal variability and climate teleconnections of global ocean wave power, Frontiers in Marine Science, doi: 10.3389/fmars.2022.900950.
  • Chen, G., C. Qian, and C. Zhang (2012). New insights into annual and semiannual cycles of sea level pressure, Monthly Weather Review, 140(4): 1347-1355.