Huiling Yuan




Ph.D. in Civil Engineering, University of California, Irvine, USA (Advisor: Prof. Soroosh Sorooshian)


Ph.D. candidate in Hydrology and Water Resources, University of Arizona, Tucson, USA (Advisor: Prof. Soroosh Sorooshian)


M.S. in Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China (Advisor: Prof. Congbin Fu)


B.S. in Meteorology, Nanjing University, China

Work Experience

 Jul. 2010-current

Professor, School of Atmospheric Sciences, Nanjing University and
Associate Director, Key Laboratory of Mesoscale Severe Weather/ Ministry of Education

 2007- Sep. 2010

Research Scientist II, NOAA/Earth System Research Laboratory (ESRL) and
the Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado at Boulder, USA


Research Associate, National Research Council and NOAA/ESRL

Research Interests

          Numerical modeling and severe weather forecasting

          Machine learning/data science for Atmospheric Sciences

          Hydrometeorology and land-atmosphere interactions

Teaching Experience


          Introduction to Atmospheric Science

          Advanced Atmospheric Science

          Water Cycle and Water Resources

          English Skills in Atmospheric Sciences

Selected Appointments and Services

         Distinguished Professor, Ministry of Education of P.R. China (2021)

         Committee member (2011-2014) and vice chairman (2015- present), Chinese Hydrometeorological Society

         Chinese committee member, integrated Land Ecosystem - Atmosphere Process Study (iLEAPS) (2013-present)

         Working group member, the Hydrologic Ensemble Prediction Experiment (HEPEX) (2012-present)

         Editor, Environmental Research Letters (2021- present)

         Editor, Advances in Atmospheric Sciences (2013-present)

         Associated editor, Weather and Forecasting (2014-2015)

Selected Publications

Yang, S., H. Yuan*, 2023: A customized multi-scale deep learning framework for storm nowcasting. Geophysical Research Letters, 50, e2023GL103979.

Wang, J., Yuan, H.*, Wang, X., Cui, C., & Wang, X. (2023). Impact of thermally forced circulations on the diurnal cycle of summer precipitation over the southeastern Tibetan Plateau. Geophysical Research Letters, 50, e2022GL100951.

Yang, Y., H. Yuan*, W. Chen, 2023. Convection-permitting ensemble forecasts of a double rainbelt event in South China during the pre-summer rainy season. Atmospheric Research, 284, 106599.

Xu, F., H. Yuan*, L. Lin, W. Chen, 2023: Convective-scale ensemble forecasts of the heavy precipitation of typhoon Lekima (2019) in Zhejiang Province. Atmospheric Research, 283, 106543.

Liu, L., H. Yuan*, Y. Deng, J. Ren, Y. Bai, C. Cui, 2023: Effects of aerosols on the forecasting of Mei-yu frontal storms over the Yangtze–Huai River Valley. Atmospheric Research, 283, 106535.

Yang, S., H. Yuan*, L. Dong, 2022: Offshore wind resource assessment by characterizing weather regimes based on self-organizing map. Environmental Research Letters, 17, 124009.

Lin, L., H. Yuan*, X. Bao, W. Chen, S. Zhang, F. Xu, 2022: Evaluation of the raindrop size distribution representation of microphysics schemes in typhoon Lekima using disdrometer network observations. Atmospheric Research, 278, 106346.

Chen, W., H. Yuan*, 2022: Onshore convection associated with the easterly wave over the South China Sea: A case study. Atmospheric Research, 268, 105979.

Sandro F. Veiga, H. Yuan*, 2022: The response of the East Asian summer rainfall to more extreme El Niño events in future climate scenarios. Atmospheric Research, 268, 105983.

Sandro F. Veiga, H. Yuan*, 2021: Performance-based projection of precipitation extremes over China based on CMIP5/6 models using integrated quadratic distance. Weather and Climate Extremes, 34, 100398.

Wu, B., S. Oncley, H. Yuan*, F. Chen, 2020: Ground heat flux determination based on near-surface soil hydro-thermodynamics. Journal of Hydrology, 591, 125578.

Chen, Y, H. Yuan*, Y. Yang, and R. Sun, 2020: Sub-daily soil moisture estimate using dynamic Bayesian model averaging. Journal of Hydrology, 590, 125455.

Chen, F., H. Yuan*, R. Sun*, C. Yang, 2020: Streamflow simulations using error correction ensembles of satellite precipitation products over the Huaihe River basin. Journal of Hydrology, 589, 125179.

Chen, Y, and H. Yuan*, 2020:Evaluation of nine sub-daily soil moisture model products over China using high-resolution in situ observations. Journal of Hydrology, 588, 125054.

Yang, C., H. Yuan*, X. Su, 2020: Bias correction of ensemble precipitation forecasts in the improvement of summer streamflow prediction skill. Journal of Hydrology, 588, 124955.

Chen, Y., Yuan, H.*, and Gao, S., 2019: A high-resolution simulation of roll convection over the Yellow Sea during a cold air outbreak. Journal of Geophysical Research: Atmospheres, 124, 10608-10625.

Yang, Y., H. Yuan*, and W. Yu, 2018: Uncertainties of 3D Soil Hydraulic Parameters in Streamflow Simulations using a Distributed Hydrological Model System. Journal of Hydrology, 567, 12-24.

Sun, R., H. Yuan*, and Y. Yang, 2018. Using multiple satellite-gauge merged precipitation products ensemble for hydrologic uncertainty analysis over the Huaihe River basin. Journal of Hydrology, 566, 406-420.

Chen, X., H. Yuan*, and M. Xue, 2018: Spatial spread-skill relationship in terms of agreement scales for precipitation forecasts in a convection-allowing ensemble. Quarterly Journal of the Royal Meteorological Society, 144, 85-98.

Han, H., J. Liu*, H. Yuan*, et al., 2018: Impacts of synoptic weather patterns and their persistency on free tropospheric carbon monoxide concentrations and outflow in eastern China. Journal of Geophysical Research: Atmospheres, 123, 7024–7046.

Sun, R., H. Yuan*, and X. Liu, 2017. Effect of heteroscedasticity treatment in residual error models on model calibration and prediction uncertainty estimation. Journal of Hydrology, 554, 680-692.

Yuan, H., Sun, M. and Wang, Y., 2016: Assessment of the benefits of the Chinese Public Weather Service. Meteorological Applications, 23, 132–139.

Sun, R., H. Yuan*, X. Liu, and X. Jiang, 2016: Evaluation of the latest satellite-gauge precipitation products and their hydrologic applications over the Huaihe River basin. Journal of Hydrology, 536, 302-319.

Li, S., Y. Wang, H. Yuan*, J. Song, and X. Xu, 2016: Ensemble mean forecast skill and applications with the T213 ensemble prediction system. Advances in Atmospheric Sciences, 33, 1297–1305.

Jiang, X., H. Yuan*, M. Xue, X. Chen, X. Tan, 2014: Analysis of a heavy rainfall event over Beijing during 21-22 July 2012 based on high resolution model analyses and forecasts. Journal of Meteorological Research, 28, 199-212.

Su, X., H. Yuan*, Y. Zhu, Y., Y. Luo, and Y. Wang, 2014: Evaluation of TIGGE ensemble predictions of Northern Hemisphere summer precipitation during 2008-2012.Journal of Geophysical Research: Atmospheres, 119, 7292-7310.

Chang, H.-L., H. Yuan*, and P.-L. Lin, 2012: Short-range (0-12h) PQPFs from time-lagged multimodel ensembles using LAPS. Monthly Weather Review, 140, 1496-1516.

Tang, J., H. Yuan*, Y. Wang, and J. Fei, 2012: The use of shear gradient vorticity in tropical cyclone heavy precipitation prediction: A high-resolution numerical case study. Journal of Tropical Meteorology, 18(4), 403-411.

Yuan, H.*, C. Lu, J. A. McGinley, P. J. Schultz, B. Jamison, L. Wharton, and C. J. Anderson, 2009: Evaluation of short-range quantitative precipitation forecasts from a time-lagged multimodel ensemble. Weather and Forecasting, 24, 18-38.

Yuan, H.*, J. A. McGinley, P. J. Schultz, C. J. Anderson, and C. Lu, 2008: Short-range precipitation forecasts from time-lagged multimodel ensembles during the HMT-West-2006 campaign. Journal of Hydrometeorology, 9, 477-491.

Yuan, H.*, S. L. Mullen, X. Gao, S. Sorooshian, J. Du, and H. H. Juang, 2007: Short-range probabilistic quantitative precipitation forecasts over the southwest United States by the RSM ensemble system. Monthly Weather Review,135, 1685–1698

Yuan, H.*, X. Gao, S. L. Mullen, S. Sorooshian, J. Du, and H. H. Juang, 2007: Calibration of probabilistic quantitative precipitation forecasts with an artificial neural network. Weather and Forecasting, 22,1287–1303.

Yuan, H.*, S. L. Mullen, X. Gao, S. Sorooshian, J. Du, and H. H. Juang, 2005: Verification of probabilistic quantitative precipitation forecasts over the southwest United States during winter 2002/03 by the RSM ensemble system. Monthly Weather Review,133, 279-294.

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