Providing Regional Climate Services to British Columbia

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Tong Li

Post-doctoral Scientist

Tong Li has joined the PCIC as a Post-doctoral researcher in 2023. Her main fields of interests are global and regional climate extremes, climate change projections, observational constraints, and detection and attribution. During her doctoral period, she focused on applying multiple observational constraints to deal with the multi-model projection problem. She also applied a more rigorous way to evaluate the validity of model ensembles used in future projections. In her post-doctoral research, Tong Li seeks to integrate emergent constraints with detection and attribution methodologies, aiming to deliver more accurate projection and attribution results.

  • Ph.D. in Meteorology, School of Atmospheric Sciences, Nanjing University of Information Science and Technology (NUIST), Nanjing, China
  • B.Sc. in Mathematics and Applied mathematics, School of Mathematics and Statistics, NUIST, Nanjing, China
Selected Publications: 
  • Li, T., X. Zhang, Z. Jiang, 2023, What aspect of model performance is the most relevant to skillful future projection on regional scale? J. Climate. In submitted
  • Li, T., Z. Jiang, H. L. Treut, L. Li, L. Zhao, and L. Ge, 2021, Machine learning to optimize climate projection over China with multi-model ensemble simulations. Environ. Res. Lett. 16 094028. DOI: 10.1088/1748-9326/ac1d0c
  • Li, T., Z. Jiang, L. Zhao, and L. Li, 2021, Multi-model ensemble projection of precipitation changes over China under global warming of 1.5 and 2°C with consideration of model performance and independence. J. Meteorol. Res. 35 184-197. DOI:10.1007/s13351-021-0067-5