· Application of deep learning in atmospheric science: bias correction and downscaling of climate model; climate prediction; deep learning interpretability.

· Climate extremes: prediction, attribution and impact projection.

· Wind energy projection and climate impacts on renewable energy.

Ph.D., Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, 2020

B.S., Applied Meteorology, China Agricultural University, 2015

Liu Q, Lou X, Yan Z, et al. Deep-learning post-processing of short-term station precipitation based on NWP forecasts. Atmospheric Research, 2023, 295: 107032. Doi: 10.1016/j.atmosres.2023.107032

Yu S, Vautard R. A transfer method to estimate hub-height wind speed from 10 meters wind speed based on machine learning. Renewable and Sustainable Energy Reviews, 2022, 169: 112897.

Wei W, Yan Z, Tong X, et al. Seasonal prediction of summer extreme precipitation over the Yangtze River based on random forest. Weather and Climate Extremes, 2022, 37: 100477.Doi: 10.1016/j.wace.2022.100477

Duan M, Xia J, Yan Z, et al. Reconstruction of the radar reflectivity of convective storms based on deep learning and himawari-8 observations. Remote Sensing, 2021, 13(16): 3330. Doi: 10.3390/rs13163330

Yu S, Tett S F B, Freychet N, et al. Changes in regional wet heatwave in Eurasia during summer (1979–2017). Environmental Research Letters, 2021, 16(6): 064094. DOI:10.1088/1748-9326/ac0745

Yu S, Yan Z, Freychet N, et al. Trends in summer heatwaves in central Asia from 1917 to 2016: Association with large‐scale atmospheric circulation patterns. International Journal of Climatology, 2020, 40(1): 115-127. DOI: 10.1002/joc.6197

Yu S, Xia J, Yan Z, et al. Loss of work productivity in a warming world: Differences between developed and developing countries. Journal of Cleaner Production, 2019, 208: 1219-1225. Doi:10.1016/j.jclepro.2018.10.067

Yu S, Xia J, Yan Z, et al. Changing spring phenology dates in the Three-Rivers headwater region of the Tibetan Plateau during 1960–2013. Advances in Atmospheric Sciences, 2018, 35: 116-126. Doi: 10.1007/s00376-017-6296-y

For a full list, see: Google Scholar: https://scholar.google.com/citations?hl=en&user=qJdHcHgAAAAJ