袁慧玲

教授、博导

Email: yuanhl@nju.edu.cn

个人简介

袁慧玲，南京大学大气科学学院教授、博士生导师、中尺度灾害性天气教育部重点实验室副主任。2013年入选江苏省高层次创新创业人才，2021年入选教育部长江学者奖励计划特聘教授。主要从事中尺度数值模拟、陆面水文过程和水文气象集合预报研究。发表学术论文50余篇，参与编著英文专著1部和中文教材1本。目前担任中国气象学会水文气象学委员会副主任委员, SCI期刊Environmental Research Letters和Advances in Atmospheric Sciences编委等职务。获得军队科学技术进步奖二等奖、江苏省科学技术二等奖、国家气象中心气象科技工作成果应用一等奖，南京大学创新育人奖、魅力导师奖、师德先进团队奖、“我最喜爱的老师”和“我最喜爱的研究生生涯导师”等荣誉称号。

1997年获南京大学气象学学士学位，2000年获中科院大气物理研究所气象学硕士学位，2005年获美国加州大学尔湾分校土木工程学博士学位。2006-2010年就职于美国国家海洋大气局地球系统研究实验室（NOAA/ESRL），2010年被聘为南京大学教授。

教育经历

2003-2005 美国加州大学尔湾分校（UC Irvine）土木环境工程系，博士

2000-2003 美国亚利桑那大学水文与水资源系，博士研究生

1997-2000 中国科学院大气物理研究所，硕士

1993-1997 南京大学大气科学系天气动力学专业，学士

工作经历

2010-目前南京大学大气科学学院，教授、博导

2007-2010 美国国家海洋大气局地球系统研究实验室（NOAA/ESRL）和科罗拉多大学环境合作研究所（CIRES），
研究员(2级) (Research Scientist Ⅱ)

2006-2007 美国科学院国家研究委员会（NAS/NRC）和国家海洋大气局地球系统研究实验室（NOAA/ESRL），
助理研究员 (Research Associate)

教学经历

研究生课程：高等大气科学概论（英文授课）、水文气象（本硕通选，国际化课程）

本科课程：大气科学概论、水圈与水资源、大气科学英语实践课、Weather and Climate

重要项目

2021-2024 国家自然科学基金面上项目：土壤湿度初始化对WRF-Hydro模式陆面水文过程模拟的影响，主持

2018-2021 国家重点研发计划课题：暴雨可预报性与对流尺度集合预报方法，主持

2017-2020 国家自然科学基金面上项目：淮河上游流域分布式水文模拟的不确定性研究，主持

2012-2015 国家自然科学基金面上项目：中国夏季定量降水预报的不确定性理论研究，主持

2012-2014 公益性行业（气象）科研专项项目：定量降水预报的系统误差订正关键技术研究，主持人

代表论著

(*通讯作者)

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. https://doi.org/10.1016/j.atmosres.2021.105983

Chen, W., H. Yuan*, 2022: Onshore convection associated with the easterly wave over the South China Sea: A case study. Atmospheric Research, 268, 105979. https://doi.org/10.1016/j.atmosres.2021.105979

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. https://doi.org/10.1016/j.wace.2021.100398

苏翔,袁慧玲*,朱跃建,2021：四种定量降水预报客观订正方法对比研究.气象学报. 79(1):132-49. https://doi.org/10.11676/qxxb2020.071

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. https://doi.org/10.1016/j.jhydrol.2020.125578

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. https://doi.org/10.1016/j.jhydrol.2020.125445

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. https://doi.org/10.1016/j.jhydrol.2020.125179

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. https://doi.org/10.1016/j.jhydrol.2020.125054

苏翔,袁慧玲*,2020:集合预报统计学后处理技术研究进展.气象科技进展, 10(2), 30-41. https://doi.org/10.3969/j.issn.2095-1973.2020.02.005

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. https://doi.org/10.1029/2019JD030968

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. https://doi.org/10.1016/j.jhydrol.2018.09.042

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. https://doi.org/10.1016/j.jhydrol.2018.09.024

Chen, X., H. Yuan*, et al., 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. https://doi.org/10.1002/qj.3186

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. https://doi.org/10.1029/2017JD028172

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. https://doi.org/10.1016/j.jhydrol.2017.09.041

孙敏,袁慧玲*,杜予罡,2017:上海地区春季最高气温预报失败案例分析,气象, 44(1): 65-79. https://doi.org/10.7519/j.issn.1000-0526.2018.01.006

沈伟,袁慧玲*,陈曦,王文清,赵燕华,2017:江苏暖季短时强降水的时空不均匀特征分析.大气科学学报,40(4):453-462. https://doi.org/10.13878/j.cnki.dqkxxb.20160824002

Yuan, H., Sun, M. and Wang, Y., 2016: Assessment of the benefits of the Chinese Public Weather Service. Meteorological Applications, 23, 132–139. https://doi.org/10.1002/met.1539

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. J. Hydrology, 536, 302-319. https://doi.org/10.1016/j.jhydrol.2016.02.054

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. https://doi.org/10.1007/s00376-016-6155-2

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. https://doi.org/10.1002/2014JD021733

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. https://doi.org/10.1007/s13351-014-3139-y

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. https://doi.org/10.1175/MWR-D-11-00085.1

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. https://doi.org/10.1175/2008WAF2007053.1

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. https://doi.org/10.1175/2007JHM879.1

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. https://doi.org/10.1175/MWR3373.1

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. https://doi.org/10.1175/2007WAF2006114.1

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. https://doi.org/10.1175/MWR-2858.1

Fu, C., and H. Yuan, 2001: A virtual numerical experiment to understand the impacts of recovering natural vegetation on the summer climate and environmental conditions in East Asia. Chinese Science Bulletin, 48, 1199-1202. https://doi.org/10.1007/BF02900602