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  • Title
    Postdoctoral Researcher
  • Email
    qin4@llnl.gov
  • Phone
    (925) 423-7007
  • Organization
    Not Available

Research Interests

  • Cloud feedback and climate sensitivity
  • Cloud parameterization
  • Biases of moist processes in climate models

PhD, Atmospheric Sciences, Tsinghua University, 2019

BS, Atmospheric Sciences, Nanjing University of Information Science & Technology, 2014

  1. Qin, Y., Lin, Y., Xu, S., Ma, H.-Y., and Xie, S. (2018). A diagnostic PDF cloud scheme to improve subtropical low clouds in NCAR Community Atmosphere Model (CAM5). Journal of Advances in Modeling Earth Systems, 10, 320-341. https://doi.org/10.1002/2017MS001095
  2. Qin, Y., and Lin, Y. (2018). Alleviated double ITCZ problem in the NCAR CESM1: A new cloud scheme and the working mechanisms. Journal of Advances in Modeling Earth Systems, 10, 2318-2332. https://doi.org/10.1029/2018MS001343
  3. Lin, Y., Huang, X., Liang, Y., Qin, Y., Xu, S., and Huang, W., et al. (2020). Community Integrated Earth System Model (CIESM): Description and evaluation. Journal of Advances in Modeling Earth Systems, 12, e2019MS002036. https://doi.org/10.1029/2019MS002036
  4. Wu, L., Zhang, T., Qin, Y., and Xue, W., (2020). An effective parameter optimization with radiation balance constraint in CAM5 (version 5.3), Geosci. Model Dev., 13, 41-53, https://doi.org/10.5194/gmd-13-41-2020
  • Outstanding PhD Dissertation Award of Tsinghua University, 2020
  • Outstanding Doctoral Student Award of Tsinghua University, 2020
  • China National Scholarship, 2018