• 基本介绍
  • 教育经历
  • 工作经历
  • 研究方向
  • 科研项目
  • 论文信息
李源
副教授，硕士生导师
17702518075 liyuanhhu@hhu.edu.cn
李源，男，博士，副教授，硕士生导师。研究兴趣主要包括：大气季节内振荡、短中期定量降水预报、中长期降水概率预测、陆气耦合洪水预报、大范围干旱动态监测与预测等方面。主持国家自然科学基金青年项目1项，中国博士后科学基金面上项目1项、江苏省博士后基金资助项目1项；作为主要技术骨干参与长江水科学研究联合基金、国家自然基金面上项目、国家重点研发计划等多项科研项目。在Hydrology and Earth System Sciences、Journal of Hydrology、Journal of Applied Meteorology and Climatology等学术期刊上发表论文10余篇；参与撰写《大范围干旱动态监测与预测》专著1部。目前担任Weather and Forecasting、Journal of Hydrology: Regional Studies等多个期刊审稿人。
社会职务

担任Weather and Forecasting、Journal of Hydrology: Regional Studies等多个期刊审稿人

 

教育经历

  • 2009-09 - 2013-06: 77779193永利 水文与水资源工程 学士
  • 2013-09 - 2019-06: 77779193永利 博士
  • 2013-09 - 2019-06: 77779193永利 硕士
  • 2017-11 - 2018-11: University of Melbourne 博士

工作经历

  • 2019-12 - 2021-12 77779193永利博士后
  • 2022-01 - 2022-04 77779193永利讲师
  • 2022-05 - 2023-12 77779193永利副研究员
  • 2024-01 - 至今 77779193永利副教授

研究方向

  • 短中期定量降水预报
  • 中长期降水概率预测
  • 陆气耦合洪水预报
  • 大范围干旱动态监测与预测

科研项目

  • 基于动力-统计集合预报降水的流域月尺度径流过程预测，国家自然科学基金-青年项目
  • 考虑多尺度影响因子的季节降水概率预测研究，中国博士后科学基金-面上项目
  • 基于全球陆-海-气耦合模式统计后处理的月尺度径流过程预测，江苏省博士后科研基金

论文信息

  • Post-processing sub-seasonal precipitation forecasts at various spatiotemporal scales across China during boreal summer monsoon,Journal of Hydrology,2021,Yuan LI,Zhiyong WU,Hai HE et al.,598, 125742
  • A method to extend temporal coverage of high quality precipitation datasets by calibrating reanalysis estimates,Journal of Hydrology,2020,Yuan LI,Quan J. WANG,et al.,581, 124355
  • Sensitivity of Dynamical Downscaling Seasonal Precipitation Forecasts to Convection and Land Surface Parameterization in a High-Resolution Regional Climate Model,Advances in Meteorology,2019,Yuan LI,Guihua LU,et al.,2019, 1-14.
  • Deterministic and Probabilistic Evaluation of Sub-Seasonal Precipitation Forecasts at Various Spatiotemporal Scales over China during the Boreal Summer Monsoon,Atmosphere,2021,Yuan LI,Zhiyong WU,et al.,12(8), 1049
  • 岔巴沟流域植被变化特征及其对水沙的影响,水资源保护,2020,吴志勇，侍恒，何海，徐征光，李源，倪用鑫,36(1), 31-37
  • 综合干旱指数研究进展,水资源保护,2021,吴志勇，程丹丹，何海，李源，周建宏,37(1): 36-45
  • High-resolution dynamical downscaling of seasonal precipitation forecasts for the Hanjiang Basin in China using the Weather Research and Forecasting model,Journal of Applied Meteorology and Climatology 2017,2017,Yuan LI,Guihua LU,et al.,56(5), 1515-1536
  • Evaluation of Optimized WRF Precipitation Forecast over a Complex Topography Region during Flood Season,Atmosphere,2016,Yuan LI,Guihua LU,et al.,7(11), 145.
  • Dynamic-LSTM hybrid models to improve seasonal drought predictions over China,Journal of Hydrology,2022,Zhiyong WU, Hao YIN, Hai HE, Yuan LI
  • 水库抗暴雨能力概率预报的降雨情景构建方法,水资源保护,2022,吴志勇，汪瑛琪，何海，李源，周建宏,38(3): 9-16.
  • Diagnosing anomalous characteristics of atmospheric water cycle structure during seasonal-scale drought events: A case study in middle and lower reaches of Yangtze River,Water Science and Engineering,2022-06-01
  • The Combined Impacts of ENSO and IOD on Global Seasonal Droughts,Atmosphere,2022, Hao Yin, Zhiyong Wu, Hayley J. Fowler, Stephen Blenkinsop, Hai He and Yuan LI,13(10), 1673
  • Probabilistic subseasonal precipitation forecasts using preceding atmospheric intraseasonal signals in a Bayesian perspective,HYDROLOGY AND EARTH SYSTEM SCIENCES,2022-10-10
  • 水库抗暴雨能力概率预报的降雨情景构建方法,水资源保护,2021-01-01
  • The Combined Impacts of ENSO and IOD on Global Seasonal Droughts,ATMOSPHERE,2022-10-01
  • 湖南省农业干旱灾害风险区划研究,水资源保护,2023-01-01
  • 考虑地表-土壤-作物水分联合亏缺的综合旱情指数研究,水资源保护,2023-01-01
  • 珠江流域1981—2020年水文干旱时空特征分析,77779193永利学报(自然科学版),2023-01-01
  • 考虑地表-土壤-作物水分联合亏缺的综合旱情指数研究,水资源保护,2023-05-20
  • 湖南省农业干旱灾害风险区划研究,水资源保护,2023-09-14
  • Dynamic-LSTM hybrid models to improve seasonal drought predictions over China,JOURNAL OF HYDROLOGY,2022-12-01
  • 珠江流域1981—2020年水文干旱时空特征分析,77779193永利学报(自然科学版),2023-08-12
  • A statistical–dynamical approach for probabilistic prediction of sub-seasonal precipitation anomalies over 17 hydroclimatic regions in China,Hydrology and Earth System Sciences,SCI,2023.11,Yuan LI,College of Hydrology and Water Resources, Hohai University,et al.
  • 区域抗旱能力评价研究进展,人民长江,2023-05-06
  • Probabilistic subseasonal precipitation forecasts using preceding atmospheric intraseasonal signals in a Bayesian perspective,Hydrology and Earth System Sciences
Baidu
sogou