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个人信息MORE +
袁星
博士生导师 硕士生导师
学位：理学博士学位
性别：男
毕业院校：中国科学院大气物理研究所
学历：博士研究生毕业
所在单位：水文与水资源工程学院




个人简介
袁星，男，博士，南京信息工程大学教授，博士生导师，水文与水资源工程学院院长，国家“海外引才计划”青年****，江苏“双创人才”。2009年获中科院大气所气象学博士学位。2009-2014年先后在美国伊利诺伊大学香槟分校（UIUC）和美国“常春藤”名校普林斯顿大学工作，2014-2018任中科院大气所研究员、博导。主持中组部人才项目、科技部国家重点研发专项课题、基金委培育项目和面上项目等。研究方向为水文气候和水文气象，包括高分辨率陆面模式研发、气候变化与水循环、水文气象集合预测、极端水旱事件归因等。发表论文80余篇，包括Nature Communications、BAMS、WRR等期刊第一/通讯作者SCI论文50余篇。担任Hydrology and Earth System Sciences（1区），JGR-A，Hydrology Research等多个SCI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，中国气象学会水文气象学专业委员会委员，中国水利学会水文气象学专业委员会委员，中国生态学会生态水文专业委员会委员。曾获谢义炳青年气象科技奖、清华大学?浪潮集团计算地球科学青年人才奖。(xyuan@nuist.edu.cn)


科研项目
科技部国家重点研发计划“全球变化及应对”专项课题，高分辨率区域陆面-生态-水文集成模型研发，2018/05-2023/04，主持
国家自然科学基金面上项目，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，主持
国家自然科学基金重大研究计划培育项目，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，主持
公益性行业（气象）科研专项（重大专项）“中国干旱气象科学研究—我国北方干旱致灾过程及机理”专题，干旱早期预警及干旱预测技术系统建设，2016/01-2018/12，主持
国家“海外引才计划”青年项目，地球与环境科学，2015，主持

发表论文目录（*通讯作者）

1.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, accepted
2.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, https://iopscience.iop.org/article/10.1088/1748-9326/abe782
3.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
4.Zhu, E., and X. Yuan*, 2021: Global freshwater storage capability across time scales in the GRACE satellite era. Advances in Atmospheric Sciences, doi: 10.1007/s00376-021-0222-z
5.Liang, M., and X. Yuan*, 2021: Critical role of soil moisture memory in predicting the 2012 central United States flash drought. Frontiers in Earth Science, 9, 615969. https://doi.org/10.3389/feart.2021.615969
6.Li, H., K. Fan, S. He, Y. Liu, X. Yuan, and H. Wang, 2021: Intensified impacts of central Pacific ENSO on the reversal of December and January surface air temperature anomaly over China since 1997. Journal of Climate, 34(5), 1601-1618, https://doi.org/10.1175/JCLI-D-20-0048.1
7.Wang, S., J. Huang, and X. Yuan, 2021: Attribution of 2019 Extreme Spring-Early Summer Hot Drought over Yunnan in Southwestern China. Bulletin of the American Meteorological Society, 102(1), S91–S96. https://doi.org/10.1175/BAMS-D-20-0121.1
8.Wu, J., X. Chen, X. Yuan, H. Yao, Y. Zhao, and A. AghaKouchak, 2021: The interactions between hydrological drought evolution and precipitation-streamflow relationship. Journal of Hydrology, accepted
9.Li, H., S. He, K. Fan, Y. Liu, and X. Yuan, 2021: Recent intensified influence of the winter North Pacific sea surface temperature on the withdrawal date of Meiyu. Journal of Climate, https://doi.org/10.1175/JCLI-D-19-0768.1
10.Wang, Y., Y. Zhou, K. Franz, X. Zhang, K. Ding, G. Jia, and X. Yuan, 2021: An agent-based framework for high-resolution modeling of domestic water use. Resources, Conservation & Recycling, 169, 105520. https://doi.org/10.1016/j.resconrec.2021.105520
11.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. (in Chinese)
12.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. (in Chinese)
13.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
14.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
15.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, 20, https://doi.org/10.1186/s13021-020-00156-1
16.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
17.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
18.Ji, P., X. Yuan*, Y. Jiao, C. Wang, S. Han, and C. Shi, 2020: Anthropogenic contributions to the 2018 extreme flooding over 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
19.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
20.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
21.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
22.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
23.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, doi: 10.1038/s41467-019-09245-3
24.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
25.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
26.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
27.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
28.Apurv, T., X. Cai, and X. Yuan, 2019: Influence of internal variability and global warming on multidecadal changes in regional drought severity over the continental United States. Journal of Hydrometeorology, 20(3), 411–429, https://doi.org/10.1175/JHM-D-18-0167.1.
29.Liang, P., Z.-Z. Hu, Y. Liu, X. Yuan, X. Li, and X. Jiang, 2019: Challenges in predicting and simulating summer rainfall in the eastern China. Climate Dynamics, 52, 2217–2233, doi:10.1007/s00382-018-4256-6
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-17-007.1
31.Yuan, X.*, S. Wang, and Z.-Z. Hu, 2018: Do climate change and El Ni?o increase likelihood of Yangtze River extreme rainfall? Bulletin of the American Meteorological Society, 99, S113-S117, doi:10.1175/BAMS-D-17-0089.1
32.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
33.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
34.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.
35.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.
36.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.
37.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
38.Yao, M., and X. Yuan*, 2018: Superensemble seasonal forecasting of soil moisture by NMME. International Journal of Climatology, 38, 2565–2574, doi:10.1002/joc.5436
39.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.
40.Li, Y., Y. Li, X. Yuan, L. Zhang, and S. Sha, 2018: Evaluation of Model-based Soil Moisture Drought Monitoring over Three Key Regions in China. Journal of Applied Meteorology and Climatology, 57, 1989-2004, doi:10.1175/JAMC-D-17-0118.1.
41.Yao, M., and X. Yuan*, 2018: Evaluation of summer drought ensemble prediction over the Yellow River basin. Atmospheric and Oceanic Science Letters, 11(4), 314-321, doi:10.1080/**.2018.**
42.杨大文，徐宗学，李哲，袁星，王磊，缪驰远，田富强，田立德，龙笛，汤秋鸿，刘星才，张学君. 水文学研究进展与展望. 地理科学进展, 2018, 37（1），36-45.
43.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
44.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
45.Wang, S., X. Yuan*, and Y. Li, 2017: Does a strong El Ni?o imply a higher predictability of extreme drought? Scientific Reports,7, 40741; doi: 10.1038/srep40741
46.Hao, Z., X. Yuan, Y. Xia, F. Hao, and V. Singh, 2017: An overview of drought monitoring and prediction systems at regional and global scales. Bulletin of the American Meteorological Society, 98, 1879–1896, doi:10.1175/BAMS-D-15-00149.1
47.Lv, M., Z. Ma, X. Yuan, M. Lv, M. Li, and Z. Zheng, 2017: Water budget closure based on GRACE measurements and reconstructed evapotranspiration using GLDAS and water use data for two large densely-populated mid-latitude basins. Journal of Hydrology, 547, 585-599, doi: 10.1016/j.jhydrol. 2017.02.027
48.Tian, D., E. F. Wood, and X. Yuan, 2017: CFSv2-based sub-seasonal precipitation and temperature forecast skill over the contiguous United States. Hydrology and Earth System Sciences,21, 1477–1490, doi:10.5194/hess-21-1477-2017
49.Jiao, Y., H. Lei, D. Yang, M. Huang, D. Liu, and X. Yuan, 2017: Impact of vegetation dynamics on hydrological processes in a semi-arid basin by using a land surface-hydrology coupled model. Journal of Hydrology, 551,116-131, doi:10.1016/j.jhydrol.2017.05.060
50.Koster, R. D., A. K. Betts, P. A. Dirmeyer, M. Bierkens, K. E. Bennett, S. J. Déry, J. Evans, R. Fu, F. Hernandez, L. R. Leung, X. Liang, M. Masood, H. Savenije, G. Wang, and X. Yuan, 2017: Hydroclimatic Variability and Predictability: A Survey of Recent Research, Hydrology and Earth System Sciences,21,3777-3798, doi:10.5194/hess-21-3777-2017
51.朱江，马柱国，严中伟，袁星，符淙斌. 气候变化背景下雄安新区发展中面临的问题.中国科学院院刊, 2017, 32(11):1231-1236.
52.李耀辉, 周广胜, 袁星, 等. 干旱气象科学研究—“我国北方干旱致灾过程及机理”项目概述与主要进展. 干旱气象, 2017, 35(2): 165-174.
53.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
54.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
55.Wang, L., X. Yuan*, Z. Xie, P. Wu, Y. Li, 2016: Increasing flash droughts over China during the recent global warming hiatus. Scientific Reports,6, 30571, doi: 10.1038/srep30571
56.Xie, Z., L. Wang, B. Jia, and X. Yuan, 2016: Measuring and modeling the impact of a severe drought on terrestrial ecosystem CO2 and water fluxes in a subtropical forest. Journal of Geophysical Research-Biogeosciences, 121, 2576-2587, doi:10.1002/2016JG003437
57.Tang, Q., X. Zhang, Q. Duan, S. Huang, X. Yuan, H. Cui, Z. Li, and X. Liu, 2016: Hydrological monitoring and seasonal forecasting: progress and perspectives. Journal of Geographical Sciences, 26(7), 904-920,doi: 10.1007/s11442-016-1306-z
58.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
59.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
60.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
61.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
62.Roundy, J. K., X. Yuan, J. Schaake, and E. F. Wood, 2015: A framework for diagnosing seasonal prediction through canonical event analysis. Monthly Weather Review, 143, 2404-2418, doi:10.1175/MWR-D-14-00190.1
63.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
64.Hejazi, M., X. Cai, X. Yuan, X.-Z. Liang, and P. Kumar, 2014: Incorporating reanalysis-based short-term forecasts from a regional climate model in an irrigation scheduling optimization problem. Journal of Water Resources Planning and Management, 140(5), 699-713, doi:10.1061/(ASCE)WR.1943-5452.**
65.Kam, J., J. Sheffield, X. Yuan, and E. F. Wood, 2014: Did a skillful prediction of sea surface temperatures help or hinder forecasting of the 2012 Midwestern US drought? Environmental Research Letters, 9, 034005, doi:10.1088/1748-9326/9/3/034005
66.Sheffield, J., E. F. Wood, N. Chaney, K. Guan, S. Sadri, X. Yuan, L. Olang, A. Amani, A. Ali, S. Demuth, and L. Ogallo, 2014: A Drought Monitoring and Forecasting System for Sub-Sahara African Water Resources and Food Security. Bulletin of the American Meteorological Society, 95, 861-882, doi:10.1175/BAMS-D-12-00124.1
67.Yang, L., F. Tian, Y. Sun, X. Yuan, and H. Hu, 2014: Attribution of hydrologic forecast uncertainty within scalable forecast windows. Hydrology and Earth System Sciences, 18, 775-786, doi:10.5194/hess-18-775-2014
68.Ye, A., Q. Duan, X. Yuan, E. F. Wood, and J. Schaake, 2014: Hydrologic post-processing of MOPEX streamflow simulations. Journal of Hydrology, 508, 147-156, doi:10.1016/j.jhydrol.2013.10.055
69.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
70.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
71.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
72.Kam, J., J. Sheffield, X. Yuan, and E. F. Wood, 2013: The influence of Atlantic Tropical Cyclones on Drought over the Eastern United States (1980-2007). Journal of Climate, 26, 3067-3086, doi:10.1175/JCLI-D-12-00244.1
73.Pan, M., X. Yuan, and E. F. Wood, 2013: A Probabilistic Framework for Assessing Drought Recovery. Geophysical Research Letters, 40(14), 3637-3642, doi:10.1002/grl.50728
74.Qin, P., Z. Xie, and X. Yuan, 2013: Incorporating groundwater dynamics and surface/subsurface runoff mechanisms in regional climate modeling over river basins in China. Advances in Atmospheric Sciences, 30, 983-996, doi:10.1007/s00376-012-2095-7
75.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
76.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
77.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
78.Liang, X.-Z., M. Xu, X. Yuan, T. Ling, H.I. Choi, F. Zhang, L. Chen, S. Liu, S. Su, F. Qiao, Y. He, J.X.L. Wang, K.E. Kunkel, W.Gao, E. Joseph, V. Morris, T.-W. Yu, J. Dudhia, and J. Michalakes, 2012: Regional Climate-Weather Research and Forecasting Model. Bulletin of the American Meteorological Society, 93, 1363-1387, doi:10.1175/BAMS-D-11-00180.1
79.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
80.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
81.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
82.Di, Z., Z. Xie, X. Yuan, X. Tian, Z. Luo, and Y. Chen, 2011: Prediction of water table depths under soil water-groundwater interaction and stream water conveyance. Science China-Earth Sciences, 54, 420-430, doi:10.1007/s11430-010-4050-8
83.Xie, Z., and X. Yuan, 2010: Prediction of water table under stream-aquifer interactions over an arid region. Hydrological Processes, 24, 160-169, doi:10.1002/hyp.7434
84.Yuan, X., Z. Xie, and M. Liang, 2009: Sensitivity of regionalized transfer function noise models to the input and parameter transfer method. Hydrological Sciences Journal-Journal des Sciences Hydrologiques, 54, 639-651, doi:10.1623/hysj.54.3.639
85.郑婧, 谢正辉, 戴永久, 袁星, 毕训强. 陆面过程模型CoLM与区域气候模式RegCM3的耦合及初步评估. 大气科学, 2009, 33(4):737-750.
86.谢正辉, 梁妙玲, 袁星, 陈锋, 刘春蓁, 刘志雨. 黄淮海平原浅层地下水埋深对气候变化响应. 水文, 2009, 29(1): 30-35.
87.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
88.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


教育经历
[1] 2005.9-2008.12
中国科学院大气物理研究所|气象学|博士研究生毕业|理学博士
[2] 2000.9-2004.6
湖南大学|信息与计算科学|大学本科|理学学士


工作经历
[1] 2018.10-至今
水文与水资源工程学院 | 南京信息工程大学  | 教授、博导 
[2] 2014.7-2018.10
中科院东亚区域气候-环境重点实验室 | 中国科学院大气物理研究所  | 研究员、博导 
[3] 2011.3-2014.7
土木环境工程系 | 美国普林斯顿大学  | Associate Climate Specialist 
[4] 2009.1-2011.2
水文研究所 | 美国伊利诺伊大学香槟分校  | Climate Modeler 


研究方向
[1]气候变化与水循环
[2]高分辨率陆面模式研发
[3]水文气象集合预测
[4]极端水旱事件归因


社会兼职
[1]2020.1-至今
Associate Editor, Journal of Geophysical Research: Atmospheres
[2]2019.11-至今
Editorial Board, Hydrology Research (SCI)
[3]2018.6-至今
Editor, Hydrology and Earth System Sciences (1区SCI)



团队成员
团队名称：水文气候学


王钰淼


邵春雨


林东钧


马汝轩


周诗玙


奚夏珍


李嘉源


刘心悦


刘铧桐


刘俊江


陈思思


曾俊涵


朱恩达


张苗


季鹏


曾鼎文


姚梦娜


王闪闪


王琳瑛


Abubaker Omer


吴杰峰


曹青


李华


黄忠伟


马凤


田烨


焦阳


袁星

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个人信息MORE +
袁星
博士生导师 硕士生导师
学位：理学博士学位
性别：男
毕业院校：中国科学院大气物理研究所
学历：博士研究生毕业
所在单位：水文与水资源工程学院










科学研究 当前位置: 中文主页 >> 科学研究

研究领域
高分辨率陆面模式研发
气候变化与水循环
水文气象集合预测
极端水旱事件归因


论文成果
Benchmark Decadal Forecast Skill for Terrestrial Water St....Nature Communications.2019,10(1237)
Anthropogenic shift towards higher risk of flash drought ....Nature Communications.2019,10(4661)

专利
暂无内容

著作成果
暂无内容

科研项目 MORE+
多尺度陆面模拟系统软件研制
干旱早期预警及干旱预测技术系统建设
三江源区下垫面变化的气候效应及其对极端径流的影响,国家自然科学基金
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,国家自然科学基金
高分辨率区域陆面-生态-水文集成模型研发

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个人信息MORE +
袁星
博士生导师 硕士生导师
学位：理学博士学位
性别：男
毕业院校：中国科学院大气物理研究所
学历：博士研究生毕业
所在单位：水文与水资源工程学院










研究领域 当前位置: 中文主页 >> 科学研究 >> 研究领域

高分辨率陆面模式研发
气候变化与水循环
水文气象集合预测
极端水旱事件归因

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个人信息MORE +
袁星
博士生导师 硕士生导师
学位：理学博士学位
性别：男
毕业院校：中国科学院大气物理研究所
学历：博士研究生毕业
所在单位：水文与水资源工程学院










论文成果 当前位置: 中文主页 >> 科学研究 >> 论文成果

Benchmark Decadal Forecast Skill for Terrestrial Water Storage Estimated by an Elasticity Framewo.... Nature Communications. 2019,10 (1237)
Anthropogenic shift towards higher risk of flash drought over China. Nature Communications. 2019,10 (4661)

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个人信息MORE +
袁星
博士生导师 硕士生导师
学位：理学博士学位
性别：男
毕业院校：中国科学院大气物理研究所
学历：博士研究生毕业
所在单位：水文与水资源工程学院










专利 当前位置: 中文主页 >> 科学研究 >> 专利


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个人信息MORE +
袁星
博士生导师 硕士生导师
学位：理学博士学位
性别：男
毕业院校：中国科学院大气物理研究所
学历：博士研究生毕业
所在单位：水文与水资源工程学院










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个人信息MORE +
袁星
博士生导师 硕士生导师
学位：理学博士学位
性别：男
毕业院校：中国科学院大气物理研究所
学历：博士研究生毕业
所在单位：水文与水资源工程学院










科研项目 当前位置: 中文主页 >> 科学研究 >> 科研项目

多尺度陆面模拟系统软件研制2020-04-26
干旱早期预警及干旱预测技术系统建设2020-04-26
三江源区下垫面变化的气候效应及其对极端径流的影响, 国家自然科学基金2020-04-26
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, 国家自然科学基金2020-04-26
高分辨率区域陆面-生态-水文集成模型研发2020-04-26
“国家海外引才计划”青年项目2020-04-26

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个人信息MORE +
袁星
博士生导师 硕士生导师
学位：理学博士学位
性别：男
毕业院校：中国科学院大气物理研究所
学历：博士研究生毕业
所在单位：水文与水资源工程学院










教学研究 当前位置: 中文主页 >> 教学研究

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授课信息
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教学成果
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个人信息MORE +
袁星
博士生导师 硕士生导师
学位：理学博士学位
性别：男
毕业院校：中国科学院大气物理研究所
学历：博士研究生毕业
所在单位：水文与水资源工程学院










教学资源 当前位置: 中文主页 >> 教学研究 >> 教学资源


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个人信息MORE +
袁星
博士生导师 硕士生导师
学位：理学博士学位
性别：男
毕业院校：中国科学院大气物理研究所
学历：博士研究生毕业
所在单位：水文与水资源工程学院










授课信息 当前位置: 中文主页 >> 教学研究 >> 授课信息

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个人信息MORE +
袁星
博士生导师 硕士生导师
学位：理学博士学位
性别：男
毕业院校：中国科学院大气物理研究所
学历：博士研究生毕业
所在单位：水文与水资源工程学院










教学成果 当前位置: 中文主页 >> 教学研究 >> 教学成果


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个人信息MORE +
袁星
博士生导师 硕士生导师
学位：理学博士学位
性别：男
毕业院校：中国科学院大气物理研究所
学历：博士研究生毕业
所在单位：水文与水资源工程学院










获奖信息 当前位置: 中文主页 >> 获奖信息

清华大学?浪潮集团计算地球科学青年人才奖2020-04-20
谢义炳青年气象科技奖2020-04-20

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