袁星，男，博士，南京信息工程大学教授（二级），博士生导师。研究领域包括气候变化与极端事件，地球系统模式，气候与水文预测。主持国家重点研发计划项目，国家自然科学基金重点项目、企事业委托项目等20余项。在Science、Nature Communications等期刊发表第一/通讯作者SCI论文120余篇。担任Hydrology and Earth System Sciences、JGR-A等SCI期刊编委、《大气科学》常务编委、《大气科学学报》等核心期刊编委。国际水文协会IAHS中国委员会陆气关系分委会副主席，中国气象学会干旱气象专业委员会副主任委员、水文气象专业委员会副主任委员。曾获国家“特支计划”科技创新领军人才、国家“海外引才计划”青年学者、中国科学院优秀导师等荣誉，成果获National Champion for Frontiers Planet Prize、中国青年科技奖、中国气象局年度科技成果奖。(xyuan@nuist.edu.cn)

科研项目

13. 国家重点研发计划项目，2024YFC3012400，旱涝急转事件风险辨识与防控技术，2025/01-2027/12，在研，主持

12. 国家自然科学基金重点项目，42330604，气候和下垫面变化下陆气耦合过程对中国东部骤旱的影响研究，2024/01-2028/12，在研，主持

11. 国家自然科学基金联合基金项目（重点支持项目），U22A20556，暖湿化进程中三江源区气候-水文-生态过程的动态耦合机制及其径流效应，2023/01-2026/12，在研，主持

10. 国家“特支计划”科技创新领军人才，第六批，地球科学，2021-2023，结题，主持

9. 江苏省杰出青年基金项目，BK20211540，气候变暖和城市化背景下华东热浪-骤旱相互作用机制，2021/07-2024/06，结题，主持

8. 国家重点研发计划“全球变化及应对”专项课题，2018YFA0606002，高分辨率区域陆面-生态-水文集成模型研发，2018/05-2023/04，结题，主持

7. 国家自然科学基金面上项目，41875105，气候变化背景下我国南方骤发干旱的演变趋势及驱动机制， 2019/01-2022/12，结题，主持

6. 国家自然科学基金重大研究计划培育项目，91547103，三江源区下垫面变化的气候效应及其对极端径流的影响，2016/01-2018/12，结题，主持

5. 国家“海外引才计划”青年项目，第十一批，地球与环境科学，2015-2018，结题，主持

4. 江苏省“双创人才”项目，全球不同温升阈值下江淮流域骤发干旱的生态水文效应研究，2020/09-2023/08，结题，主持

3. 中国长江电力股份有限公司委托项目，长江上游旱涝因子识别与中长期径流预报模型研究，在研，主持

2. 国家气象信息中心委托项目，基于陆面和海洋融合产品的雷达资料质量评估子系统软件开发，结题，主持

1. 黄河勘测规划设计研究院有限公司委托项目，伊洛河流域分布式洪水预报模型研发，在研，主持

部分学术论文（*通讯作者）

114. Zhang, M., X. Yuan*, Z. Zeng, M. Pan, P. Wu, J. Xiao, T. F. Keenan, 2025: A pronounced decline in northern vegetation resistance to flash droughts from 2001 to 2022. Nature Communications, 16, 2984. https://doi.org/10.1038/s41467-025-58253-z 

113. Zhou, S., X. Yuan*, and H. Li, 2025: Role of mid-latitude intraseasonal oscillations in triggering flash droughts in the Yangtze River Basin. Atmospheric Research, accepted

112. Zeng, J., X. Yuan*, H. Yang, P. Ji, and X. Xu, 2025: Characterizing Flash Drought Patterns in Eastern China Based on High-resolution and Long-term Soil Moisture Fusion Data. Journal of Hydrology, accepted

111. Chen, S., X. Yuan*, P. Ji, S. Yuan, C. Lu, 2025: Direct vegetation response to CO2 rise is critical in projecting seasonal soil moisture droughts in China. Journal of Hydrology, 661, 133639. https://doi.org/10.1016/j.jhydrol.2025.133639   

110. Ji, P., X. Zhang, X. Yuan*, and Q. Xu, 2025: Urbanization brings earlier onset of summertime compound heatwaves. Communications Earth & Environment, 6, 317. https://doi.org/10.1038/s43247-025-02315-z 

109. Ma, F., and X. Yuan*, 2025: The propagation from atmospheric flash drought to soil flash drought and its changes in a warmer climate. Journal of Hydrology, 654, 132877. https://doi.org/10.1016/j.jhydrol.2025.132877 

108. Yang, H., F. Ma*, X. Yuan*, P. Ji, and C. Li, 2025: Vegetation greening accelerated the propagation from meteorological to soil droughts in the Loess Plateau from a three-dimensional perspective. Journal of Hydrology, 650, 132522. https://doi.org/10.1016/j.jhydrol.2024.132522   

107. Zhu, E., Y. Wang, Y. Zhao, and X. Yuan*, 2025: Improving Long-term Prediction of Terrestrial Water Storage through Integration with CMIP6 Decadal Prediction. Atmospheric Research, 313, 107776. https://doi.org/10.1016/j.atmosres.2024.107776    

106. 袁星*, 王钰淼, 周诗玙, 李华, 李晨远, 2024: 气候变化下2022年长江特大骤旱的多尺度成因分析. 中国科学: 地球科学, 54(8), 2690 – 2702. https://doi.org/10.1360/SSTe-2024-0007   

Yuan, X.*, Y. Wang, S. Zhou, H. Li, C. Li, 2024: Multiscale causes of the 2022 Yangtze mega-flash drought under climate change. SCIENCE CHINA Earth Sciences, 67(8), 2649–2660. https://doi.org/10.1007/s11430-024-1356-x   

105. 袁星*, 周诗玙, 马凤, 王钰淼, 郝奕, 梁妙玲, 陈李楠, 2024: 气候和下垫面变化下骤旱形成演变机制研究进展. 地球科学进展，39(9)， 877-888. https://doi.org/10.11867/j.issn.1001-8166.2024.065 

104. Ma, F., X. Yuan*, H. Li, 2024: Dominant atmospheric circulation patterns associated with the rapid intensification of summer flash droughts in Eastern China. Science of the Total Environment, 957, 177416. https://doi.org/10.1016/j.scitotenv.2024.177416   

103. Hao, Y., X. Yuan*, and M. Zhang, 2024: Enhanced relationship between seasonal soil moisture droughts and vegetation under climate change over China. Agricultural and Forest Meteorology, 358, 110258. https://doi.org/10.1016/j.agrformet.2024.110258 

102. Ji, P., and X. Yuan*, 2024: Spatially Varying Effect of Soil Moisture-Atmosphere Feedback on Spring Streamflow under Future Warming in China. Communications Earth & Environment, 5, 518. https://doi.org/10.1038/s43247-024-01701-3   

101. Ji, P., and X. Yuan*, 2024: Disparities and similarities in the spatiotemporal dynamics of flash and slow droughts in China. Environmental Research Letters, 19, 084015. https://doi.org/10.1088/1748-9326/ad5d7e   

100. Ji, P., X. Yuan*, F. Ma, Q. Xu, 2024: Drivers of long-term changes in summer compound hot extremes in China: climate change, urbanization, and vegetation greening. Atmospheric Research, 310, 107632. https://doi.org/10.1016/j.atmosres.2024.107632 

99. Wang Y., X. Yuan*, Y. Liu, and W. Wang, 2024: Skillful Seasonal Prediction of the 2022-23 Mega Soil Drought over the Yangtze River Basin by Combining Dynamical Climate Prediction and Copula Analysis. Environmental Research Letters, 19, 064019. https://doi.org/10.1088/1748-9326/ad4978   

98. Chen, S., and X. Yuan*, 2024: The timing of detectable increases in seasonal soil moisture droughts under future climate change. Earth's Future, 12, e2023EF004174. https://doi.org/10.1029/2023EF004174   

97. Xi, X., M. Liang*, and X. Yuan*, 2024: Increased atmospheric water stress on gross primary productivity during flash droughts over China from 1961 to 2022. Weather and Climate Extremes, 44, 100667. https://doi.org/10.1016/j.wace.2024.100667   

96. Huang, Z., X. Yuan*, P. Ji, S. Sun, and G. Leng, 2024: Shifts in trends and correlation of water scarcity and productivity over China. Journal of Hydrology, 635, 131187. https://doi.org/10.1016/j.jhydrol.2024.131187   

95. Zhou, S., M. Liang*, and X. Yuan*, 2024: Impact of upwind flash drought on 2022 record-shattering heatwave over East China. Climate Dynamics, 62, 6367-6380. https://doi.org/10.1007/s00382-024-07211-4   

94. Rao, P., F. Wang, X. Yuan*, Y. Liu, and Y. Jiao, 2024: Evaluation and comparison of 11 sets of gridded precipitation products over the Qinghai-Tibet Plateau. Atmospheric Research, 302, 107315. https://doi.org/10.1016/j.atmosres.2024.107315   

93. Ma, F., X. Yuan*, H. Li, and Y. Wang, 2024: Flash drought in the south of Yangtze River and the potential impact of North Atlantic sea surface temperature. Journal of Geophysical Research: Atmosphere, 129, e2023JD039820. https://doi.org/10.1029/2023JD039820   

92. Ma, F., and X. Yuan*, 2024: Vegetation greening and climate warming increased the propagation risk from meteorological drought to soil drought at subseasonal timescales. Geophysical Research Letters, 51, e2023GL107937. https://doi.org/10.1029/2023GL107937   

91. Li, C., X. Yuan*, Y. Jiao, P. Ji, Z. Huang, 2024: High-resolution Land Surface Modeling of the Irrigation Effects on Evapotranspiration over the Yellow River Basin. Journal of Hydrology, 633, 130986. https://doi.org/10.1016/j.jhydrol.2024.130986   

90. Zeng J., X. Yuan*, and P. Ji, 2024: The important role of reliable land surface model simulation in high resolution multi-source soil moisture data fusion by machine learning. Journal of Hydrology, 630, 130700. https://doi.org/10.1016/j.jhydrol.2024.130700   

89. Zeng, D., and X. Yuan*, 2024: The Important Role of Reduced Moisture Supplies from Monsoon Region in the Formation of Spring and Summer Droughts over Northeast China. Journal of Climate, 37(5), 1703–1722. https://doi.org/10.1175/JCLI-D-23-0344.1   

88. Ji, P., X. Yuan*, Y. Jiao, and M. Zhang, 2024: On the reliability of 12 high-resolution precipitation products for process-based hydrological modeling in China. Journal of Hydrology, 628, 130598. https://doi.org/10.1016/j.jhydrol.2023.130598 

87. Yuan, X.*, Y. Wang, P. Ji, P. Wu, J. Sheffield, and J. Otkin, 2023: A global transition to flash droughts under climate change. Science, 380, 187-191.  https://doi.org/10.1126/science.abn6301

86. Ji, P., X. Yuan*, and Y. Jiao, 2023: Synergistic effects of high-resolution factors for improving soil moisture simulations over China. Water Resources Research, 59(12), e2023WR035513. https://doi.org/10.1029/2023WR035513 

85. Wang, Y., and X. Yuan*, 2023: High temperature accelerates onset speed of the 2022 unprecedented flash drought over the Yangtze River Basin. Geophysical Research Letters, 50(22), e2023GL105375. https://doi.org/10.1029/2023GL105375   

84. Zhou, S., and X. Yuan*, 2023: Acceleration of the onset speeds of heat waves over East China by upwind flash droughts. Journal of Geophysical Research: Atmosphere, 128(10), e2022JD038072. https://doi.org/10.1029/2022JD038072 

83. Huang, Z., X. Yuan*, S. Sun, G. Leng, and Q. Tang, 2023: Groundwater depletion rate over China during 1965-2016: the long-term trend and inter-annual variation. Journal of Geophysical Research: Atmosphere, 128(11), e2022JD038109. https://doi.org/10.1029/2022JD038109   

82. Liu, X., X. Yuan*, F. Ma, and J. Xia, 2023: The increasing risk of energy droughts for hydropower in the Yangtze River basin. Journal of Hydrology, 621, 129589. https://doi.org/10.1016/j.jhydrol.2023.129589 

81. Shao, C., X. Yuan*, and F. Ma, 2023: Skill decreases in real-time seasonal climate prediction due to decadal variability. Climate Dynamics, 61, 4203–4217. https://doi.org/10.1007/s00382-023-06800-z 

80. Li, J., X. Yuan*, and P. Ji, 2023: Long-lead daily streamflow forecasting using Long Short-Term Memory model with different predictors. Journal of Hydrology: Regional Studies, 48, 101471. https://doi.org/10.1016/j.ejrh.2023.101471   

79. Ma, F., X. Yuan*, and X. Liu, 2023: Intensification of drought propagation over the Yangtze River basin under climate warming. International Journal of Climatology, 43, 5640-5661.  https://doi.org/10.1002/joc.8165   

78. Zhu, E., C. Shi*, S. Sun, B. Jia, Y. Wang, and X. Yuan*, 2023: Hybrid Assimilation of Snow Cover Improves Land Surface simulations over Northern China. Journal of Hydrometeorology, 24(10), 1725–1738. https://doi.org/10.1175/JHM-D-23-0014.1 

77. Omer, A., X. Yuan*, and A. Gemitzi, 2023: Transboundary Nile Basin Dynamics: Land Use Change, Drivers, and Hydrological Impacts under Socioeconomic Pathways. Ecological Indicators, 153, 110414. https://doi.org/10.1016/j.ecolind.2023.110414 

76. Zhu, E., Y. Wang, and X. Yuan*, 2023: Changes of Terrestrial Water Storage during 1981-2020 over China Based on Dynamic-Machine Learning Model. Journal of Hydrology, 621, 129576. https://doi.org/10.1016/j.jhydrol.2023.129576 

75. Cao, Q., X. Yuan*, Q. Yan, and F. Zhu, 2023: Decadal change of rainfall erosivity during rainy season in mainland China and its underlying causes. Journal of Hydrology, 620, 129391. https://doi.org/10.1016/j.jhydrol.2023.129391 

74. Ma, R., and X. Yuan*, 2023: Subseasonal ensemble prediction of flash droughts over China. Journal of Hydrometeorology, 24(5), 897–910. https://doi.org/10.1175/JHM-D-22-0150.1   

73. Ma, F., and X. Yuan*, 2023: When will the unprecedented 2022 summer heat wave in Yangtze River basin become normal in a warming climate? Geophysical Research Letters, 50, e2022GL101946. https://doi.org/10.1029/2022GL101946 

72. Xi, X., and X. Yuan*, 2023: Remote sensing of atmospheric and soil water stress on ecosystem carbon and water use during flash droughts over eastern China. Science of the Total Environment, 868, 161715. https://doi.org/10.1016/j.scitotenv.2023.161715 

71. Ji, P., X. Yuan*, and Y. Jiao, 2023: Future hydrological drought changes over the upper Yellow River basin: the role of climate change, land cover change and reservoir operation. Journal of Hydrology, 617, 129128. https://doi.org/10.1016/j.jhydrol.2023.129128   

70. Ji, P., X. Yuan*, C. Shi, L. Jiang, G. Wang, and K. Yang, 2023: A long-term simulation of land surface conditions at high-resolution over continental China. Journal of Hydrometeorology, 24(2), 285-314. https://doi.org/10.1175/JHM-D-22-0135.1   

69. Huang, Z., X. Yuan*, X. Liu, and Q. Tang, 2023: Growing control of climate change on water scarcity alleviation over northern part of China. Journal of Hydrology: Regional Studies, 46, 101332. https://doi.org/10.1016/j.ejrh.2023.101332     

68. 季鹏, 袁星*, 2023: 基于多种机器学习模型的西北地区蒸散发模拟与趋势分析. 大气科学学报, 46(1), 69-81.

67. Wang, Y., and X. Yuan*, 2022: Land-atmosphere coupling speeds up flash drought onset. Science of the Total Environment, 851, 158109. https://doi.org/10.1016/j.scitotenv.2022.158109   

66. Xi, X., and X. Yuan*, 2022: Significant water stress on gross primary productivity during flash droughts with hot conditions. Agricultural and Forest Meteorology, 324, 109100. https://doi.org/10.1016/j.agrformet.2022.109100   

65. Zhang, M., X. Yuan*, J. Otkin, and P. Ji, 2022: Climate warming outweighs vegetation greening in intensifying flash droughts over China. Environmental Research Letters, 17(5), 054041. https://iopscience.iop.org/article/10.1088/1748-9326/ac69fb   

64. Chen, S., X. Yuan*, 2022: Quantifying the uncertainty of internal variability in future projections of seasonal soil moisture droughts over China. Science of the Total Environment, 824, 153817. https://doi.org/10.1016/j.scitotenv.2022.153817   

63. Ma, F., X. Yuan*, H. Li, 2022: Characteristics and circulation patterns for wet and dry compound day-night heat waves in mid-eastern China. Global and Planetary Change, 213, 103839. https://doi.org/10.1016/j.gloplacha.2022.103839   

62. Zhou, S., and X. Yuan*, 2022: Upwind droughts enhance half of the heatwaves over North China. Geophysical Research Letters, 49(2), e2021GL096639. https://doi.org/10.1029/2021GL096639 

61. Ma, F., X. Yuan*, P. Wu, and Z. Zeng, 2022: A moderate mitigation can significantly delay the emergence of compound hot extremes. Journal of Geophysical Research: Atmospheres, 127(2), e2021JD035427. https://doi.org/10.1029/2021JD035427   

60. Liu, J., X. Yuan*, J. Zeng, Y. Jiao, Y. Li, L. Zhong, and L. Yao, 2022: Ensemble streamflow forecasting over a cascade reservoir catchment with integrated hydrometeorological modeling and machine learning. Hydrology and Earth System Sciences, 26(2), 265–278. https://doi.org/10.5194/hess-26-265-2022   

59. Liu, H, X. Yuan*, M. Zhang, 2022: Unraveling human influence on evapotranspiration over East Asian monsoon river basins by using GRACE/GRACE-FO data and land surface models. Journal of Hydrology, 605, 127349. https://doi.org/10.1016/j.jhydrol.2021.127349   

58. Wang, Y., and X. Yuan*, 2022: The anthropogenic acceleration and intensification of flash drought over the southeastern coastal region of China will continue into the future. Atmospheric and Oceanic Science Letters, 15(5), 100262. https://doi.org/10.1016/j.aosl.2022.100262   

57. Zeng, J., X. Yuan*, P. Ji, and C. Shi, 2021: Effects of meteorological forcings and land surface model on soil moisture simulation over China. Journal of Hydrology, 603, 126978. https://doi.org/10.1016/j.jhydrol.2021.126978 

56. Ji, P., X. Yuan*, X.-Z. Liang, Y. Jiao, Y. Zhou, and Z. Liu, 2021: High-resolution land surface modeling of the effect of long-term urbanization on hydrothermal changes over Beijing metropolitan area. Journal of Geophysical Research: Atmosphere, 126, e2021JD034787. https://doi.org/10.1029/2021JD034787 

55. Zeng, D., and X. Yuan*, 2021: Modeling the Influence of Upstream Land–Atmosphere Coupling on the 2017 Persistent Drought over Northeast China. Journal of Climate, 34(12), 4971–4988. https://doi.org/10.1175/JCLI-D-20-0650.1 

54. Wang, Y., and X. Yuan*, 2021: Anthropogenic Speeding Up of South China Flash Droughts as Exemplified by the 2019 Summer-Autumn Transition Season. Geophysical Research Letters, 48(9), e2020GL091901. https://doi.org/10.1029/2020GL091901   

53. Ma, F., and X. Yuan*, 2021: More Persistent Summer Compound Hot Extremes Caused by Global Urbanization. Geophysical Research Letters, 48(15), e2021GL093721. https://doi.org/10.1029/2021GL093721   

52. Ma, F., and X. Yuan*, 2021: Impact of climate and population changes on the increasing exposure to summertime compound hot extremes. Science of the Total Environment, 772, 145004, https://doi.org/10.1016/j.scitotenv.2021.145004   

51. Huang, Z., X. Yuan*, and X. Liu, 2021: The key drivers for the changes in global water scarcity: water withdrawal versus water availability. Journal of Hydrology, 601, 126658. https://doi.org/10.1016/j.jhydrol.2021.126658   

50. Chen, S., and X. Yuan*, 2021: CMIP6 projects less frequent seasonal soil moisture droughts over China in response to different warming levels. Environmental Research Letters, 16, 044053, https://iopscience.iop.org/article/10.1088/1748-9326/abe782 

49. Liu, X., X. Yuan*, E. Zhu, 2021: Global warming induces significant changes in the fraction of stored precipitation in the surface soil. Global and Planetary Change, 205, 103616. https://doi.org/10.1016/j.gloplacha.2021.103616   

48. Zhu, E., and X. Yuan*, 2021: Global freshwater storage capability across time scales in the GRACE satellite era. Advances in Atmospheric Sciences, 38(6), 905-917. https://link.springer.com/article/10.1007/s00376-021-0222-z   

47. 袁星*，王钰淼，张苗，王琳瑛，2020：关于骤旱研究的一些思考. 大气科学学报, 43(6), 1086-1095

Yuan, X.*, Y. Wang, M. Zhang, and L. Wang, 2020: A few thoughts on the study of flash drought. Trans. Atmos. Sci., 43(6), 1086-1095, doi:10.13878/j.cnki.dqkxxb.20200914002 (in Chinese)

46. 袁星*，马凤，李华，陈思思，2020：全球变化背景下多尺度干旱过程及预测研究进展. 大气科学学报, 43(1), 225-237.

Yuan, X.*, F. Ma, H. Li, and S. Chen, 2020: A review on multi-scale drought processes and prediction under global change. Trans. Atmos. Sci., 43(1), 225-237, doi:10.13878/j.cnki.dqkxxb.20191105005 (in Chinese)

45. Zhang, M., and X. Yuan*, 2020: Rapid reduction in ecosystem productivity caused by flash droughts based on decade-long FLUXNET observations. Hydrology and Earth System Sciences, 24(11), 5579–5593, https://doi.org/10.5194/hess-24-5579-2020 

44. Ji, P., X. Yuan*, F. Ma, and M. Pan, 2020: Accelerated hydrological cycle over the Sanjiangyuan region induces more streamflow extremes at different global warming levels, Hydrology and Earth System Sciences, 24(11), 5439-5451, https://doi.org/10.5194/hess-24-5439-2020 

43. Zhang, M., X. Yuan*, and J. Otkin, 2020: Remote sensing of the impact of flash drought events on terrestrial carbon dynamics over China. Carbon Balance and Management, 15(1), 20, https://doi.org/10.1186/s13021-020-00156-1   

42. Zhu, E., X. Yuan*, and P. Wu, 2020: Skillful decadal prediction of droughts over large-scale river basins across the globe. Geophysical Research Letters, 47, e2020GL089738. https://doi.org/10.1029/2020GL089738

41. Ma, F., X. Yuan*, Y. Jiao, and P. Ji, 2020: Unprecedented Europe heat in June-July 2019: Risk in the historical and future context. Geophysical Research Letters, 47, e2020GL087809. https://doi.org/10.1029/2020GL087809

40. Ji, P., X. Yuan*, Y. Jiao, C. Wang, S. Han, and C. Shi, 2020: Anthropogenic contributions to the 2018 extreme flooding over the upper Yellow River basin in China. Bulletin of the American Meteorological Society, 101(1), S89-S94, https://doi.org/10.1175/BAMS-D-19-0105.1

39. Ji, P., X. Yuan*, and D. Li, 2020: Atmospheric radiative processes accelerate ground surface warming over the southeastern Tibetan Plateau during 1998-2013. Journal of Climate, 33(5), 1881-1895, doi: 10.1175/JCLI-D-19-0410.1

38. Zhang, M., and X. Yuan*, 2020: Crucial role of natural processes in detecting human influence on evapotranspiration by multisource data analysis. Journal of Hydrology, 580, 124350, doi:10.1016/j.jhydrol.2019.124350 

37. Ji, P., and X. Yuan*, 2020: Underestimation of the Warming Trend over the Tibetan Plateau during 1998-2013 by Global Land Data Assimilation Systems and Atmospheric Reanalyses. Journal of Meteorological Research, 34(1), 88-100, doi: 10.1007/s13351-020-9100-3

36. Yuan, X.*, L. Wang, P. Wu, P. Ji, J. Sheffield, and M. Zhang, 2019: Anthropogenic shift towards higher risk of flash drought over China. Nature Communications, 10, 4661. https://doi.org/10.1038/s41467-019-12692-7   

35. Zhu, E., X. Yuan*, and A. Wood, 2019: Benchmark Decadal Forecast Skill for Terrestrial Water Storage Estimated by an Elasticity Framework. Nature Communications, 10, 1237. https://doi.org/10.1038/s41467-019-09245-3

34. Jiao, Y., and X. Yuan*, 2019: More Severe Hydrological Drought Events Emerge at Different Warming Levels over the Wudinghe Watershed in northern China. Hydrology and Earth System Sciences, 23, 621–635, https://doi.org/10.5194/hess-23-621-2019

33. Zeng, D., X. Yuan*, and J. K. Roundy, 2019: Effect of Teleconnected Land-atmosphere Coupling on Northeast China Persistent Drought in Spring-Summer of 2017. Journal of Climate, 32(21), 7403-7420, https://doi.org/10.1175/JCLI-D-19-0175.1

32. Wang, S., X. Yuan*, R. Wu, 2019: Attribution of the persistent spring-summer hot and dry extremes over Northeast China in 2017. Bulletin of the American Meteorological Society, 100(1), S85-S89, doi: 10.1175/BAMS-D-18-0120.1

31. Li, Y.*, X. Yuan*, H. Zhang, R. Wang, C. Wang, X. Meng, Z. Zhang, S. Wang, Y. Yang, B. Han, K. Zhang, X. Wang, H. Zhao, G. Zhou, Q. Zhang, Q. He, N. Guo, W. Hou, C. Zhang, G. Xiao, X. Sun, P. Yue, S. Sha, H. Wang, T. Zhang, J. Wang, and Y. Yao, 2019: Mechanisms and Early Warning of Drought Disasters: Experimental Drought Meteorology Research over China. Bulletin of the American Meteorological Society, 100, 673-687, doi: 10.1175/BAMS-D-17-0029.1

30. Yuan, X.*, L. Wang, and E. F. Wood, 2018: Anthropogenic intensification of southern African flash droughts as exemplified by the 2015/16 season. Bulletin of the American Meteorological Society, 99, S86-S90, doi:10.1175/BAMS-D-17-0077.1

29. Yuan, X.*, S. Wang, and Z.-Z. Hu, 2018: Do climate change and El Niño increase likelihood of Yangtze River extreme rainfall? Bulletin of the American Meteorological Society, 99, S113-S117, doi:10.1175/BAMS-D-17-0089.1

28. Yuan, X.*, and E. Zhu, 2018: A first look at decadal hydrological predictability by land surface ensemble simulations. Geophysical Research Letters, 45, 2362-2369, doi:10.1002/2018GL077211

27. Yuan, X.*, Y. Jiao, D. Yang, and H. Lei, 2018: Reconciling the attribution of changes in streamflow extremes from a hydroclimate perspective. Water Resources Research, 54, 3886–3895, doi:10.1029/2018WR022714

26. Yuan, X.*, P. Ji, L. Wang, X.-Z. Liang, K. Yang, A. Ye, Z. Su, and J. Wen, 2018: High-resolution land surface modeling of hydrological changes over the Sanjiangyuan region in the eastern Tibetan Plateau: 1. Model development and evaluation. Journal of Advances in Modeling Earth Systems, 10, 2806–2828, doi:10.1029/2018MS001412.

25. Ji, P., and X. Yuan*, 2018: High-resolution land surface modeling of hydrological changes over the Sanjiangyuan region in the eastern Tibetan Plateau: 2. Impact of climate and land cover change. Journal of Advances in Modeling Earth Systems, 10, 2829–2843, doi:10.1029/2018MS001413.

24. Wang, S., and X. Yuan*, 2018: Extending seasonal predictability of Yangtze River summer floods. Hydrology and Earth System Sciences, 22, 4201-4211, doi:10.5194/hess-22-4201-2018.

23. Zeng, D., and X. Yuan*, 2018: Multiscale land-atmosphere coupling and its application in assessing subseasonal forecasts over East Asia. Journal of Hydrometeorology, 19, 745-760, doi:10.1175/JHM-D-17-0215.1

22. Wang, L., and X. Yuan*, 2018: Two types of flash drought and their connections with seasonal drought. Advances in Atmospheric Sciences, 35(12), 1478–1490, doi: 10.1007/s00376-018-8047-0.

21. Yuan, X.*, M. Zhang, L. Wang, and T. Zhou, 2017: Understanding and seasonal forecasting of hydrological drought in the Anthropocene. Hydrology and Earth System Sciences, 21, 5477-5492, doi:10.5194/hess-21-5477-2017

20. Ji, P., X. Yuan*, and X.-Z. Liang, 2017: Do lateral flows matter for the hyperresolution land surface modeling? Journal of Geophysical Research: Atmospheres, 122, 12077-12092, doi:10.1002/2017JD027366

19. Wang, S., X. Yuan*, and Y. Li, 2017: Does a strong El Niño imply a higher predictability of extreme drought? Scientific Reports,7, 40741; doi: 10.1038/srep40741

18. Yuan, X.*, F. Ma, L. Wang, Z. Zheng, Z. Ma, A. Ye, and S. Peng, 2016: An experimental seasonal hydrological forecasting system over the Yellow River basin-Part 1: Understanding the role of initial hydrological conditions. Hydrology and Earth System Sciences, 20, 2437–2451, doi:10.5194/hess-20-2437-2016

17. Yuan, X.*, 2016: An experimental seasonal hydrological forecasting system over the Yellow River basin-Part 2: The added value from climate forecast models. Hydrology and Earth System Sciences, 20, 2453–2466, doi:10.5194/hess-20-2453-2016

16. Yuan, X.*, J. K. Roundy, E. F. Wood, and J. Sheffield, 2015: Seasonal forecasting of global hydrologic extremes: system development and evaluation over GEWEX basins. Bulletin of the American Meteorological Society, 96, 1895-1912, doi:10.1175/BAMS-D-14-00003.1

15. Yuan, X.*, Z. Ma, M. Pan, and C. Shi, 2015: Microwave remote sensing of short-term droughts during crop growing seasons. Geophysical Research Letters, 42, 4394-4401, doi:10.1002/2015GL064125

14. Yuan, X.*, E. F. Wood, and Z. Ma, 2015: A review on climate-model-based seasonal hydrologic forecasting: physical understanding and system development. Wiley Interdisciplinary Reviews: Water, 2, 523-536, doi: 10.1002/wat2.1088

13. Ma, F., X. Yuan*, and A. Ye, 2015: Seasonal Drought Predictability and Forecast Skill over China. Journal of Geophysical Research: Atmospheres, 120, 8264-8275, doi:10.1002/2015JD023185

12. Yuan, X.*, E. F. Wood, and M. Liang, 2014: Integrating weather and climate prediction: toward seamless hydrologic forecasting. Geophysical Research Letters, 41, 5891–5896, doi:10.1002/2014GL061076

11. Yuan, X.*, E. F. Wood, J. K. Roundy, and M. Pan, 2013: CFSv2-based seasonal hydroclimatic forecasts over the conterminous United States. Journal of Climate, 26, 4828-4847, doi:10.1175/JCLI-D-12-00683.1

10. Yuan, X.*, and E. F. Wood, 2013: Multimodel seasonal forecasting of global drought onset. Geophysical Research Letters, 40(18), 4900-4905, doi:10.1002/grl.50949

9. Yuan, X.*, E. F. Wood, N. W. Chaney, J. Sheffield, J. Kam, M. Liang, and K. Guan, 2013: Probabilistic Seasonal Forecasting of African Drought by Dynamical Models. Journal of Hydrometeorology, 14, 1706-1720, doi:10.1175/JHM-D-13-054.1

8. Yuan, X.*, and E. F. Wood, 2012: Downscaling precipitation or bias-correcting streamflow? Some implications for coupled general circulation model (CGCM)-based ensemble seasonal hydrologic forecast. Water Resources Research, 48(12), W12519, doi:10.1029/2012WR012256

7. Yuan, X.*, X.-Z. Liang, and E.F. Wood, 2012: WRF ensemble downscaling seasonal forecasts of China winter precipitation during 1982-2008. Climate Dynamics, 39, 2041-2058, doi:10.1007/s00382-011-1241-8

6. Yuan, X.*, and E. F. Wood, 2012: On the clustering of climate models in ensemble seasonal forecasting. Geophysical Research Letters, 39(18), L18701, doi:10.1029/2012GL052735

5. Yuan, X.*, E. F. Wood, L. Luo, and M. Pan, 2011: A first look at Climate Forecast System version 2 (CFSv2) for hydrological seasonal prediction. Geophysical Research Letters, 38(13), L13402, doi:10.1029/2011GL047792

4. Yuan, X., and X.-Z. Liang, 2011: Improving cold season precipitation prediction by the nested CWRF-CFS system. Geophysical Research Letters, 38(2), L02706, doi:10.1029/2010GL046104

3. Yuan, X., and X.-Z. Liang, 2011: Evaluation of a Conjunctive Surface-Subsurface Process Model (CSSP) over the contiguous United States at regional-local scales. Journal of Hydrometeorology, 12, 579-599, doi:10.1175/2010JHM1302.1

2. Yuan, X., Z. Xie, J. Zheng, X. Tian and Z.-L. Yang, 2008: Effects of water table dynamics on regional climate: A case study over east Asian monsoon area. Journal of Geophysical Research, 113, D21112, doi:10.1029/2008JD010180

1. Yuan, X., Z. Xie, and M. Liang, 2008: Spatiotemporal prediction of shallow water table depths in continental China. Water Resources Research, 44, W04414, doi:10.1029/2006WR005453