Language : 中文
Yubao Liu
343
  • Personal Information

    Professor
    Supervisor of Doctorate Candidates
    Supervisor of Master's Candidates
    Main Positions:Precision Regional Earth Modeling and Information Center(PREMIC),Director
    Other Post:Nanjing XinDa Institute of Met. Sci. and Tech,Scientific Director
    Gender:Male
    Education Level:With Certificate of Graduation for Doctorate Study
    Degree:Doctoral Degree in Science
    Status:在岗
    School/Department:天气与气象技术研究院、气象卓越工程师学院
    Business Address:NUIST Met. Building 1207
    Contact Information:Email:ybliu@nuist.edu.cn Phone:18611323142
    E-Mail:003044@nuist.edu.cn
  • Profile

    教育背景 (Education):  

    1993-1995: National Center for Atmospheric Research (NCAR), USA, Post-Doctor

    1989-1992: 北京大学 (Beijing University),大气物理学,博士

    1983-1986: 中国气象科学研究院 (CAMS/SMA),大气物理学,理学硕士

    1979-1983: 南京气象学院 (南京信息工程大学, NUIST),大气物理学,理学学士

    1997-1999: Concordia University (Canada),Computer Science, Graduate.

    工作经历 (Professional Career):  

    2019 - 至今,教授(博导),南京信息工程大学

    2019 - 至今,科技院长,南京信大气象科学技术研究院

    1999 - 2019,Project Scientist 3National Center for Atmospheric Research(NCAR),USA

    1995 - 1999,Res.Associate. McGill University, Canada

    1986 - 1992,助理研究员,中国气象科学研究院

    学术兼职 (Scientific Servce and honors):  

    2014 - 2018,海外高层次专家,中国电力科学研究院

    2021 - 至今,学术委员会委员,中国气象科学研究院

    2021 - 至今,学术委员会委员,中国电工学会电力气象学会

    2019 - 至今,学术委员会副主任,中国气象局人工影响天气重点实验室

    2019 - 至今,中心主任,精细化区域地球模拟和信息中心,南京信息工程大学

    2020 - 至今,科技院长,南京信大气象科学技术研究院

    学术荣誉 (Honors and Awards):  

    2015: Colorado State Governor CO-LAB Award

    2012: Nominated, NCAR Year-2012 best published paper.

       (美国国家大气研究中心:2012年度最佳学术论文奖提名[集合预报和飞行气象应用])

    2011:Winner, NCAR Year-2011 Scientific and Technological Advancement Award for research 

           of the wind power forecasting system for Xcel Energy

       (美国国家大气研究中心2012年度最佳科学技术进步奖 [风能预报技术研发])

    2006:Nominated, NCAR for Scientific and Technological Advancement Award for development 

           of a multi-scale weather system for the state critical facilities

       (美国国家大气研究中心2012年度最佳科学技术进步奖提名[国家重大设施气象之盾系统研发])

    2005:NASA Aviation Safety Program (NASP) Extraordinary Contribution Award for incorporating 

           and study TAMDAR data in mesoscale NWP

       (美国航天局NASA航空安全计划特殊贡献奖 [机载气象仪器对气象预报运用])

    2001:Winner, NCAR Year-2001 Scientific and Technological Advancement Award for developing

            the 4-Dimensional Weather (4DWX) system

       (荣获美国国家大气研究中心2001年度最佳科学技术进步奖[发展国家重大试验基地四维天气系统])

    1994:2nd Prize, National Natural Science Council of China for advancements on severe 

           convection modeling study

       (中国国家气象局科学进步 2等奖[强对流数值模式研发和摸拟])

    1993:China Scientific Achievement Award, 2nd Rank for significant progress on the Northern

            China rain enhancement field research

       (中国国家科学进步2等奖[北方层壮云物理和人工降雨潜力研究])

    1992:1st Class Scientific Achievement Award, Natural Science Foundation of China for significant 

          progress on the Northern China rain enhancement field research

       (中国国家气象局科学进步1等奖[北方层壮云物理和人工降雨潜力研究])

    1990:Beijing University Overseas "Guanghua" award for academic achievement on an outstanding 

         paper during Ph.D graduate study

       (北京大学海外“光华”奖[在读博士期间 优秀学术论文奖])

      

    近期科研项目 (Sci. and Tech. R&D Projects):  

    2024 - 2027年, 基金委:多频双偏振雷达和FY-4短波通道云和降水资料同化关键技术研究,PI

    2023 - 2027年, 科技部重大研发:暖云催化技术研究,课题负责人

    2020 - 2022年,乌鲁木齐机场空管工程数值预报系统及应用平台,PI

    2020 - 2021年,飞行高影响天气气象环境仿真系统,PI

    2019 - 2022广泛互联的--气象观测及数据融合技术研究课题负责人

    2019 - 2021风电场风和功率集合预报技术研究首席科学家主持(PI

    2019 - 2021西北人影工程建设人影四维资料同化和预报系统,主持(PI

    2019年 - 2021年,河北气象局环境气象中心环境气象数值预报,主持(PI

    2019 - 2020深圳市气象局FDDA实时天气分析、QPE和积涝预报,主持(PI

    2017 - 2020年,中国电力投资有限公司风电场功率预报,主持(PI

    1999 - 2018年,美国重要测试基地气象预报,数值模式研发首席科学家

    2006 - 2017, PWS TAMDAR and NWP 长期合作项目,主持 PI

    2009 - 2016, Xcel Energy Inc.:风能预报, CO-PI, 数值模式研发课题负责人

    2009 - 2017以色列空军数值天气预报系统(MAGEN), 首席科学家(PI

    2012年-2018年,集合四维资料同化和概率预报和气候再分析。主持(PI

    2013 - 2019年,中国深圳市气象局:四维资料同化微气候和资源分析;主持(PI

    2018 - 2019年,内蒙古电力公司风电场功率预报,主持(PI

    2012 - 2014年,沙特阿拉伯气象局业务数值天气预报系统,首席科学家

    2011 - 2013年,韩国气象局风能预报(共3期项目),主持(PI

    2008 - 2010以色列水文局:季节降雨预报主持(PI

    2007 - 2009, UCAR西非数值天气预报演示系统主持(PI


    Publications: 

    2023

    Zhou Y., and Liu* Y., Han Wei, 2023: Demonstrating the potential impact of assimilating FY-4 visible radiances on forecasts of cloud and precipitation with a localized particle filter. Mon. Wea. Rev.151 (5), 1167-1188。 DOI:10.1175/MWR-D-22-0133.1

    Wang F., Liu* Y., Zhou Y., Sun* R., Duan J., Li Y., Ding Q., Wang H., 2023: Retrieving vertical cloud radar reflectivity from MODIS cloud products with CGAN: An evaluation for different cloud types and latitudes. Remote Sensing, 2023, 15, 816. https://doi.org/ 10.3390/rs15030816.

    Huo, Z., Liu* Y., Shi Y., Chen B., Li Y., and Fan H., 2023: An investigation on joint data assimilation of a radar network and ground-based profiling platforms for forecasting convective storms. Mon. Wea. Rev. ,DOI:10.1175/MWR-D-22-0332.1

    Li Y., Liu* Y., Shi Y., Chen B., Zeng F., Huo Z. and Fan H., 2023: Probablistic convective initiation nowcasting using Himawari-8 AHI with explanable deep learning models. Mon. Wea. Rev. ( Conditionally accepted) 

    Hua S., Chen* B., Liu* Y., Chen G., Yang Y., Dong X., Zhao Z., Gao Y., Zhou X., Zhong R. and Duan J., 2023: Evaluation of the ice particle simulation of microphysics schemes with aircraft measurements of a stratiform cloud in North China. J. Atmos. Sci. DOI:10.1175/JAS-D-22-0155.1。

    Li Y., Liu* Y., Sun R., Guo F., Xu X., and Xu H, 2023: Convective storm VIL and lightning nowcasting using satellite and weather radar measurements based on multi-task learning models. Advances in Atmospheric Sciences.  doi: 10.1007/s00376-022-2082-6.

    Yuan G., Zhang Y., Li E. and Liu* Y., 2023: Effects of different land use types on soil surface temperature in the Heihe River Basin. Sustainability. 15, 3859. https://doi.org/10.3390/su15043859.

    Fan H., Liu* Y., Li Y., Liu Yue., Duan J., Li L., Z. Huo, 2023: A deep learning method for predicting lower troposphere temperature using surface analysis. Atmospheric Research283, 1 March 2023. http://doi.org/10.1016/j.atmosres.2022.106542.

    Qin Y., Liu* Y., Jiang X., Li Y., Xu H., Shi Y. and Huo Z.,2023: Grid-to-Point Deep-Learning Error Correction for the Surface Weather Forecasts of a Fine-Scale Numerical Weather Prediction System. Atmosphere, 14,145. 9 Jan. 2023. https://doi.org/10.3390/atmos14010145.

    2022

    Wang H., Yuan S., Liu* Y., Li Y., 2022:  Comparison of the WRF-FDDA-Based Radar Reflectivity and Lightning Data Assimilation for Short-Term Precipitation and Lightning Forecasts of Severe Convection.. Remote Sens. 2022, 14, 5980. https://doi.org/10.3390/ rs14235980.

    Zhou* Y., Liu* Y., Huo Z. and Li Y., 2022: Preliminary evaluation of FY-4A visible radiance data assimilation by the WRF/DART-RTTOV system for a tropical storm case. Geosci. Model Dev., 15, 7397–7420, 2022 https://doi.org/10.5194/gmd-15-7397-2022.

    Lu Z., Han* Y., Liu* Y., Liu S., Liu Z., Tang Y., and Jing W., 2022:  An improvement of wind gust estimate (WGE) method for squall lines. Geomatics, Natural Hazards and Risk.13:1, 993-1013, DOI: 10.1080/19475705.2022.2064773.

    Wen W., Liu* Y., Sun R., and Liu Yue, 2022:  Research on Anomaly Detection of Wind Farm SCADA Wind Speed Data.  Energies, 202215, 5869. https://doi.org/10.3390/en15165869

    Wang H., Liu* Y., Duan J., Shi Y., Lou X. and Li J., 2022:  Assimilation of Radar Reflectivity Using A Time-Lagged Ensemble Based Ensemble Kalman Filter With “Cloud-Dependent” Background Error Covariances. JGR- Atmosphere.  https://doi.org/10.1029/2021JD036207

    Yuan G., Tang W. , Zuo T., Li E., Zhang L., Liu* Y., 2022: Impacts of afforestation on land surface temperature in different regions of China. Agricultural and Forest Meteorology.18 (2022) 108901. https://doi.org/10.1016/j.agrformet.2022.108901. 

    Sun, H.; Wang, H.; Yang, J.; Zeng, Y.; Zhang, Q.; Liu, Y.; Gu, J.; Huang, S. , 2022: Improving Forecast of Severe Oceanic Mesoscale Convective Systems Using FY-4A Lightning Data Assimilation with WRF-FDDA. Remote Sensing, 2022,14,1965. https:// doi.org/10.3390/rs14091965 

    Yang J., Liu E., Liu* Y. , Lin Y.,  Jin X., 2022:   Impact of vertical wind shear on summer orographic clouds over Tian Shan Mountians: A case study based on radar observation and  numerical simulation.  Remote Sensing, 202214, 1583. https://doi.org/10.3390/ rs14071583 .

    Shi J.; Liu* Y., Li Y., Liu Yue., Roux G., Shi L., Fan X.,2022: Wind Speed Forecasts of a Mesoscale Ensemble for Large-Scale Wind Farms in Northern China: Downscaling Effect of Global Model Forecasts. Energies 2022,15,896. https://doi.org/ 10.3390/en15030896.

    Shu Z., Zhao T., Liu Y., Zhang L., Ma X., Kuang X., Li Y., Huo Z., Ding Q., Sun X., Shen L., 2022: Impact of deep basin terrain on PM2.5 distribution and its seasonality over the Sichuan Basin, Southwest China. Environmental Pollution. 300, 118933-118944. https://doi.org/10.1016/j.envpol.2022.118944.

    Wang, H.; Liu*, Y.; Liu, Y.; Cao, Y.; Liang, H.; Hu, H.; Liang, J.; Tu, M.,2022: Assimilation of GNSS PWV with NCAR-RTFDDA to Improve Prediction of a Landfall Typhoon. Remote Sens.2022,14,178. https:// doi.org/10.3390/rs14010178。

    袁锦涵, 周永波, 刘玉宝*, 段婧, 王新, 2022. 云滴谱分布对FY-4A/AGRI水云光学厚度与有效粒子半径反演的影响研究[J], 光学学报, 42(6), 2022.3. doi:10.3788/AOS202242.0628004 

    熊一帆,丁秋冀,舒卓智,刘玉宝*,赵天良2022: 基于数值模拟与资料同化探究长三角地区冬 季 PM2.5 污染过程的气象影响. 环境科学学报(J), 42(4),293-303. DOI:10.13671/j.hjkxxb.2022.0004

    张依鸣,刘玉宝*,王昊亮,孙荣富、樊小伟,2022: GSI-3DVAR背景场误差协方差水平相关特征尺度对地面气象站资料同化适应性研究。气象科学 (已录用)。

    He G.; Yuan G.; Liu* Y.; Jiang Y.; Liu Y.; Shu Z.; Ma X.; Li Y., Huo Z.,2022: The Effects of Topography and Urban Agglomeration on the Sea Breeze Evolution over the Pearl River Delta Region. Atmosphere 2022, 13, 39. https://doi.org/10.3390/atmos13010039

    2021

    Shu  Z., Liu* Y., Zhao T., et al., 2021: Long-term variations in aerosol optical properties, types, and radiative forcing in the Sichuan Basin, Southwest China,Science of the Total Environment ,  https://doi.org/10.1016/j.scitotenv.2021.151490

    Li Y., Liu* Y., Chen Y., Chen B., Zhang X., Wang W., Shu Z. and Huo Z., 2021: Characteristics of deep convective systems and initiation during warm seasons over China and its vicinity. Remote Sens. 13, 4289. https://doi.org/10.3390/ rs13214289.

    Huo Z., Liu* Y., …,  2021: Hydrometeor and Latent Heat Nudging for Radar Reflectivity Assimilation: Response to the Model States and Uncertainties. Remote Sensing. https://doi.org/10.3390/rs13193821.

    Pan, L., Liu Y., …,  2021:  Seasonal variation of the surface wind forcast performance of the high-resolution WRF-RTFDDA system over China. Atmo. Res. 259. https://doi.org/10.1016/j.atmosres.2021.105673

    Zhou, Y., Liu* Y. , C. Liu, 2021: A machine learning-based method to account for 3D Short-wave radiative effects in 1D satellite observation operators. J. Quant. Spec. & Rad. Trans.275,  https://doi.org/10.1016/j.jqsrt.2021.107891.

    Shu, Z., Liu Y. , T, Zhao ..., 2021: Elevated 3D structure of PM2.5 and impact of complex terrain-forcing circulation on heavy haze pollution over Sichuan Basin, China. Atom. Chem. and Phys.; 21, 9253–9268, 2021 https://doi.org/10.5194/acp-21-9253-2021.  

    Lu, Z, Y. Han. Liu Y.,  2021:  Improving the Ramer scheme for diagnosis of freezing rain in China. Atmo. Res. 259. https://doi.org/10.1016/j.atmosres.2021.105520

    李扬, 刘玉宝*, 许小峰, 2021: 基于深度学习改进数值天气预报模式和预报的研究及挑战. 气象科技进展11, 103 – 112. (2021.3). DOI:10.3969/j.issn.2095-1973.2021.03.012.

    刘玉宝*,丁秋冀,史月琴,方春刚,段婧,  楼小凤,李萍,霍朝阳,周永波,王昊亮,景晓琴,王新,陈添宇,陈宝君,李集明, 2021: 云解析人工影响天气数值模式的建立、初步试验和展望. 气象科技进展11, (2021.9). 

    YuanG., L. Zhang, Y. Liu, 2021: Impacts of soil moisture and atmospheric moisture transport on the T precipitation in two typical regions of China. Atmos. Res., 247 (2021) 105151.

    2020

    Zhao, X., J. Zhu, L. Cheng, Y. Liu, Y. Liu, 2020:  An Observing System Simulation Experiment to Assess the Potential Impact of a Virtual Mobile Communication Tower-based Observation Network on Weather Forecasting Accuracy in China. Part 1: Weather Stations with a Typical Mobile Tower Height of 40 m. Adv. Atmos. Sci. 37, 617–633 (2020). https://doi.org/10.1007/s00376-020-9058-1.

    Kosovic, B.,... Y. Liu, …,  2020: A Comprehensive Wind Power Forecasting System Integrating Artificial Intelligence and Numerical Weather Prediction. Energies, 13, 1372; doi:10.3390/en13061372.

    LiuY., Y. Liu, et al. , 2020: Simulation of Flow Fields in Complex Terrain with WRF-LES: Sensitivity Assessment of Different PBL Treatments. Journal of Appl. Met. Clim., 59, 1841-1501.

    2019

    HuangY., Y. Liu*, Yue Liu, and J. C. Knievel, 2019: Budget analyses of a record-breaking rainfall event in the coastal metropolitan city of Guangzhou, China. Journal of Geophysical Research - Atmosphere, 124, 1-16.

    WeiX.Y. Liu, Y. Liu, and L. Li, 2019: Numerical study of a local PM2.5 pollution event under the typhoon Neoguri (1408) background over a coastal metropolitan city, Shenzhen, China. Physics and Chemistry of the Earth110, 99-108.

    Du, J., H. Sun, Y. Cao, Y. Liu*, L.Pan and Yue Liu, 2019: Ensemble interpolation of missing wind turbine nacelle wind speed data in wind farms based on robust particle swarm optimized generalized regression neural network. International Journal of Green Energy16, 1210-1219 .

    2018

    Huang, Y., Y. Liu*, Yue Liu, H. Li, and J. C. Knievel, 2018: Mechanisms for a Record‐Breaking Rainfall in the Coastal Metropolitan City of Guangzhou, China: Observation Analysis and Nested Very Large Eddy Simulation with WRF model. Journal of Geophysical Research - Atmosphere, 123, 1-22.

    Wang, H., Y. Liu*, W. Y. Y. Cheng, T. Zhao, M. Xu, Yue. Liu,, A. O. Fierro, 2018: Continuous Assimilation of Lightning Data Using Time-Lagged Ensembles for a Convection-Allowing Numerical Weather Prediction Model. Journal of Geophysical Research - Atmosphere123, 9652-9673.

    刘郁珏,苗世光,胡 非,刘玉宝, 2018: 冬奥会小海坨山赛区边界层风场大涡模拟研究高原学报37, 1388-1401.

    Pan, L., Y. Liu, J. C. Knievel, L. Delle Monache, and G. Roux, 2018: Evaluations of WRF Sensitivities in Surface Simulations with an Ensemble Prediction System. Atmosphere9, 106.

    Huang, Y., Y. Liu*, M. Xu, Yue. Liu, L. Pan, H. Wang, W. Y.Y. Cheng, Y. Jiang, H. Lan, H. Yang, X. Wei, R. Zong, Ch. Cao, and S. Jin, 2018: Forecasting severe convective storms with WRF-based RTFDDA radar data assimilation in Guangdong, China. Atmospheric Research209, 131-143.

    Wang. H, Y. Liu*, T. Zhao, M. Xu, Y.W. Liu, F. Guo, W.Y.Y.Cheng, S. Feng, E.R. Mansell, A.O. Fierro, 2018: Incorporating geostationary lightning data into a radar reflectivity based hydrometeor retrieval method: An observing system simulation experiment. Atmospheric Research, 209, 1-13.

    2017

    Li, L., Y. Jiang, W. Zhang, D. Wang, Y. Liu, L. Pan, Y. Liu, 2017: Using Four-Dimensional Data Assimilation technique: establishment of data set and preliminary applications. Journal of Tropical Meteorology33, 874-883.

    王昊亮刘玉宝赵天良郭凤霞冯双磊王勃, 2017: 基于数值天气模式及其模式输出的 闪电预报研究进展地球科学进展, 32, 44-55.

    Knievel, J. C., Y. Liu, T. M. Hopson, J. S. Shaw, S. F. Halvorson, H. H. Fisher, G. Roux, R.-S. Sheu, L. Pan, W. Wu, J. P. Hacker, E. Vernon, F. W. Gallagher III, and J. C. Pace, 2017: Mesoscale Ensemble Weather Prediction at U.S. Army Dugway Proving Ground, Utah. Weather and Forecasting32, 2195-2216.

    Wang, H., Y. Liu, W. Y. Y. Cheng, T. Zhao, M. Xu, Yue. Liu, S. Shen, K. M. Calhoun, and A. O. Fierro, 2017: Improving Lightning and Precipitation Prediction of Severe Convection Using Lightning Data Assimilation With NCAR WRF-RTFDDA. Journal of Geophysical Research - Atmosphere122, 12296–12316.

    Cheng, W.Y.Y., Y. Liu, A. Bourgeois, Y. Wu, S.E. Haupt, 2017: Short-term wind forecast of a data assimilation/weather forecasting system with wind turbine anemometer measurement assimilation. Renewable Energy107, 340-351.

    Rostkier-Edelstein,D., P. Kunin, T. M. Hopson, Y. Liu and A. Givati, 2016: Statistical downscaling of seasonal precipitation in Israel. Journal of Climate36, 590–606.

    Zhang, Y., Y. Liu, and Thomas Nipen, 2016: Evaluation of the Impacts of Assimilating the TAMDAR Data on 12/4 km Grid WRF-Based RTFDDA Simulations over the CONUS. Advances in Meteorology2016, 1-13.

    杜杰,彭玲霞、刘玉宝, 2015:  电场风机测量风速缺损值的组合填充模型电力自动化设备9, 125-129.

    Keller, T. L., S. B. Trier, W.D. Hall, R.D. Sharman, M. Xu, and Y. Liu, 2015: Lee Waves Associated with a Commercial Jetliner Accident at Denver International Airport. Journal of Applied Meteorology and Climatology54, 1373-1392.

    Fernando H.J., … Y. Liu …, 2015: THE MATERHORN: Unraveling the Intricacies of Mountain Weather. Bulletin of American Meteorological Society131, 1945-1967.

    Pan, L., Y. Liu, Y. Liu, L. Li, Y. Jiang, W. Cheng, and G. Roux, 2015: Impact of four-dimensional data assimilation (FDDA) on urban climate analysis.  Journal of Advances in Modeling Earth Systems7, 1997–2011.

    Rostkier-Edelstein, D., P. Kunin, T. Hopson, Y. Liu  and A. Givati,, 2015: Statistical downscaling of seasonal precipitation in Israel. International. Journal of Climatology., 36, 590-606.

    Zhang, Y., Y. Liu, P. A. Kucera, B. H. Alharbi, L. Pan, and A. Ghulam, 2015: Dust modeling over Saudi Arabia using WRF-Chem: March 2009 severe dust case. Atmospheric Environment, 119, 118-130.

    Wyszogrodzki, A, Y. Liu, N. Jacobs, P. Childs, Y. Zhang, G. Roux and T. Warner, 2013: Analysis of the surface temperature and wind forecast errors of the NCAR-AirDat operational CONUS 4-km WRF forecasting system. Meteorology and Atmospheric Physics122, 125-143.

    Rostkier-Edelstein, D., Y. Liu, W. Wu, P. Kunin, M. Ge and A. Givati, 2013: Towards a high-resolution climatography of seasonal precipitation over Israel. International. Journal of Climatology34, 1964-1979.

    Cheng, W., Y. Liu, Y.W. Liu, Y. Zhang, W.P. Mahoney, and T. T. Warner, 2013: The impact of model physics on numerical wind forecasts. Renewable Energy55, 347-356.

    Parks, K., Y.-H. Wan, G. Wiener and Y. Liu, 2012   Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy. 美国国家再生能源实验室(NREL DE-AC36-08GO28308., 1-246.

    Mahoney, W.P, K. Parks, G. Wiener, Y. Liu, W. Myers, J. Sun, L-D. Monache, T. Hopson, D. Johnson and S.E. Haupt, 2012: A Wind Power Forecasting System to Optimize Grid Integration. IEEE Transactiion on Sustainable Energy10, 670-682.

    Givati, A., B. Lynn, Y. Liu, A. Rimmer, 2012: Using the WRF Model in an Operational Streamflow Forecast System for the Jordan River. Journal of Applied Meteorology and Climatology, 51, 285-199.

    Wu, W., Y. Liu, M. Ge, D. Rostkier-Edelstein, G. Descobes, P. Kunin, T. Warner, S. Swerdlin, A. Givati, T. Hopson, D. Yates, 2012: Statistical downscaling of climate forecast system seasonal predictions for the Southeastern Mediterranean. Atmospheric Research118, 346–356 .

    Delle Monache, L., T. Nipen, Y. Liu, G. Roux, and R. Stull, 2011: Kalman Filter and Analog Schemes to Postprocess Numerical Weather Predictions. Monthly Weather Review139, 3554-3570.

    Liu, Y., T. Warner, Y.W. Liu, C. Vincent, W. Wu, B. Mahoney, S. Swerdlin, K. Parks, J. Boehnert, 2011: Simultaneous nested modeling from the synoptic scale to the LES scale for wind energy applications. Journal of Wind Engineering and Industrial Aerodynamics99, 308-319.

    Frehlich, R., R. Sharman, F. Vanderberg, W. Yu, Y. Liu, and J. Knievel, 2010: Estimates of Cn2 from Numerical Weather Prediction Model Output and Comparison with Thermosonde Data. Journal of Applied Meteorology and Climatology49, 1742-1755.

    Steiner,M., R. Bateman, D. Megenhardt, Y. Liu, M. Xu, and J. Krozel, 2010: Translation of Ensemble Weather Forecasts into Probabilistic Air Traffic Capacity Impact. Air Traffic Control Quarterly18, 229-254.

    Hahmann, A. N., D. Rostkier-Edelstein, T. T. Warner, F. Vandenberghe, Y. Liu, R. Babarsky, S. P. Swerdlin, 2009: A dynamical downscaling system for the Generation of Mesoscale Climatographies. Journal of Applied Meteorology and Climatology49, 954–972.

    Hahmann A., D. Rostkier-Edelstein, T. Waner, Y. Liu, F. Vandenberghe, and S. Swerdlin, 2008: Toward a climate downscaling for the Eastern Mediterranean at high-resolution. Advances in Geosciences12, 159-164.

    Liu, Y., T.T. Warner, J. F. Bowers, L. P. Carson, F. Chen, C. A. Clough, C. A. Davis, C. H. Egeland, S. Halvorson, T.W. Huck Jr., L. Lachapelle, R.E. Malone, D. L. Rife, R.-S. Sheu, S. P. Swerdlin, and D.S. Weingarten, 2008: The Operational Mesogamma-Scale Analysis and Forecast System of the U.S. Army Test and Evaluation Command. Part I: Overview of the Modeling System, the Forecast Products, and How the Products Are Used. Journal of Applied Meteorology and Climatology47, 1077-1092.

    Liu, Y., T. T. Warner, E. G. Astling, J. F. Bowers, C. A. Davis, S. F. Halvorson, D. L. Rife, R.-S. Sheu, S. P. Swerdlin, and M. Xu, 2008: The Operational Mesogamma-Scale Analysis and Forecast System of the U.S. Army Test and Evaluation Command. Part II: Interrange Comparison of the Accuracy of Model Analyses and Forecasts. Journal of Applied Meteorology and Climatology47, 1093-1104.

    Sharman, R., Y. Liu, R.-S. Sheu,  D. L. Rife, T. T. Warner,  J. F. Bowers, and E. Ellison, 2008: The Operational Mesogamma-Scale Analysis and Forecast System of the U.S. Army Test and Evaluation Command. Part III: Forecasting with Secondary-Applications Models. Journal of Applied Meteorology and Climatology47, 1105 – 1116.

    Grossman-Clarke, S., Y. Liu, J. Zehnder,  and J. Fast, 2008: Simulations of the Urban Planetary Boundary Layer in an Arid Metropolitan Area. Journal of Applied Meteorology and Climatology, 47, 752-768.

    Tie, X., S. Madronich, G. Li, Z. Ying, R. Zhang, A. Garcia, J. Lee-Taylor and Y. Liu, 2007: Characterizations of chemical oxidants in Mexico City: A regional chemical dynamical model (WRF-CHEM). Atmospheric Environment41, 1989-2008.

    Bowers, J. F., Y. Liu, J. Hacker. S. Swerdlin, T. Betacnourt and E. Astling, 2007: An Operational Mesoscale Ensemble-Based Forecast System Using HPC Resources. IEEE HPCMP-UGC 2007, 1-5.

    Warner, T., …, Y. Liu, …, 2007: The Pentagon Shield Field Program: Toward Critical Infrastructure Protection. Bulletin of American Meteorological Society88, 167-176.

    Liu, Y., F. Chen, T. Warner and J. Basara, 2006: Verification of a Mesoscale Data-Assimilation and Forecasting System for the Oklahoma City Area during the Joint Urban 2003 Field Project. Journal of Applied Meteorology and Climatology45, 912-929.

    Grossman-Clarke, S., J. Zehnder, W. Stefanov, Y. Liu and M. Zoldak, 2005: Urban Modifications in a Mesoscale Meteorological Model and the Effects on Near-Surface Variables in an Arid Metropolitan Region. Journal of Applied Meteorology44, 1281-1297.

    Rife L. D., C. A. Davis, Y. Liu and T. Warner, 2004: Predictability of Low-Level Winds by Mesoscale Meteorological Models. Monthly Weather Review132, 2553-2569.

    Yau, M.K., Y. Liu, D.-L. Zhang and Y. Chen, 2004: A Multiscale Numerical Study of Hurricane Andrew (1992). Part VI: Small-Scale Inner-Core Structures and Wind Streaks. Monthly Weather Review132, 2553-2569.

    Zhang, D.-L., Y. Liu and M. K. Yau, 2002: A Multiscale Numerical Study of Hurricane Andrew (1992). Part V: Inner-Core Thermodynamics. Monthly Weather Review130, 2745-2763.

    Zhang, D.-L., Y. Liu and M. K. Yau, 2001: A Multiscale Numerical Study of Hurricane Andrew (1992). Part IV: Unbalanced Flow. Monthly Weather Review129, 97-107.

    Zhang, D.-L., Y. Liu and M. K. Yau, 2000: A Multiscale Numerical Study of Hurricane Andrew (1992). Part III: Dynamically Induced Vertical Motion. Monthly Weather Review128, 3772-3788.

    Zhang, D.-L., Y. Liu and M. K. Yau, 1999: Surface Winds at Landfall of Hurricane Andrew (1992)—A Reply. Monthly Weather Review127, 1711-1721.

    Liu, Y., D.-L. Zhang and M. K. Yau, 1999: A Multiscale Numerical Study of Hurricane Andrew (1992). Part II: Kinematics and Inner-Core Structures. Monthly Weather Review127, 2597-2616.

    Liu, Y., D.-L. Zhang and M. K. Yau, 1997: A Multiscale Numerical Study of Hurricane Andrew ( 1992). Part I: Explicit Simulation and Verification. Monthly Weather Review125, 3073-3093.

    Kuo, Y.-H., R. J. Reed, and Y. Liu, 1996: The ERICA IOP 5 Storm. Part III: Mesoscale Cyclogenesis and precipitation Parameterization. Monthly Weather Review124, 1409-1434.

    刘玉宝,胡志晋、周秀骥、葛润生, 1995: 中尺度山脉对流群的动力和微物理数值模拟气象学报53, 157-167.

    刘玉宝,周秀骥、胡志晋, 1994: 强对流风暴数值模拟及其未来预报的若干问题应用气象学报4, 418-427.

    Liu, Y., X. Zhou and Z. Hu, 1993: A Three-dimensional Elastic Nested-grid Meso (beia-gamma) scale atmospheric model - Part I: Model Description. Journal of Meteorology Review7, 257-272.

    Liu, Y., X. Zhou and Z. Hu, 1993: A Three-dimensional Elastic Nested-grid Meso (beia-gamma) scale atmospheric model - Part II: Model Validation. Journal of Meteorology Review7, 469-485.

    刘玉宝,胡志晋, 1993: 卷云数值模式和对流卷云数值模拟气象学报51, 148-158.

    刘玉宝,周秀骥胡志晋, 1993: 三维弹性套网格中尺度(β-γ)大气模式的检验和实例研究气象学报51, 369-380.

    游来光,李炎辉,刘玉宝, 1992: 自然云中冰晶生成的核化过程及雪晶对过冷云滴的撞冻气象学报50, 232-238.

    刘玉宝,游来光, 1990: 北疆冬季降水的中小尺度结构与人工增水作业潜力和自然条件探讨应用气象学报1, 113-122.

    刘玉宝,游来光,胡志晋, 1988: 新疆准葛尔盆地冬季系统性降水研究。II.理论探讨气象科学研究院院刊3, 36-45.

    刘玉宝,胡志晋,游来光, 1988: 新疆准葛尔盆地冬季系统性降水研究。I.降水模型气象科学研究院院刊3, 159-168


  • Research Field

    [1] 研究方向 I - 云物理:云微物理参数化方案、云微物理资料融合和同化、湍流涡旋对云粒子增长的影响、灾害性天气(对流、闪电、覆冰等)过程中云微物理过程。
    [2] 研究方向 II - 中小微尺度数值模拟和预报:四维资料同化、快速更新资料同化和预报、集合预报和集合资料同化、机器学习与数值天气预报相结合、大气边界层和陆面物理参数化
    [3] 研究内容 III - 中尺度气象模式产业应用:云解析人工影响天气数值模式系统、集合数值天气模式功率预报技术、航空气象快速更新短临预报和短期集合预报技术、电网气象安全数值模式、污染和毒气扩散应急模拟预报技术、高分辨率实时和历史资料融合天气分析和微气候再分析技术、城市和气象高敏感地区行业气象灾害信息平台。
  • Social Affiliations

    No Content
  • Education Background

    [1]  1989.9- 1992.7
    北京大学 | 大气物理学 | With Certificate of Graduation for Doctorate Study | 理学博士 | 地球物理学系
    [2]  1997.8- 1999.8
    Concordia University | 计算机科学 | Graduate class completion
    [3]  1983.9- 1986.7
    中国气象科学研究院 | 大气物理学 | Post graduate diploma | 理学硕士
    [4]  1979.9- 1983.6
    南京气象学院 | 大气物理学云雾物理 | University graduated | 理学学士
  • Work Experience

    [1]  1995.5- 1999.11
    McGill University, Montreal, Canada | Department of Atmospheric and Oceanic Sciences | Research Associate
    [2]  1999.11- 2018.12
    National Center for Atmospheric Research (NCAR), USA | Research Application Laboratory (RAL) | Project Scientist III
    [3]  2019.1- Now
    南京信息工程大学 | 大气物理学院 | 教授 | 全职
    [4]  1986.8- 1989.9
    中国气象科学研究院 | 助理研究员
    [5]  1993.5- 1995.5
    美国国家大气研究中心(NCAR) | 博士后访问学者
  • Research Group

    Name of Research Group:Prevision Regional Earth Modeling and Information Center (PREMIC)

    Description of Research Group:团队成员:教授3人,副教授2人,青年人才讲师4人,科研助理3人
    学生团队:博士研究生3人,硕士研究生11人,本科生:8人
    研究内容:中微尺度数值资料同化和预报模式技术和模式输出智能释用技术,及其在灾害性天气预报、人工影响天气、新能源、航空气象、电网气象灾害、城市积涝和山洪暴发灾害、空气质量灾害和有毒气体传输扩散应急决策辅助等方面的应用。
    目前合作单位:中国气象科学研究院人影中心,中国电力科学研究研院、内蒙古电力集团、内蒙古气象局、深圳市气象局、河北省气象局、南京信大气象科学研究院等。

  • Other Contact Information

     ZipCode:210044
     PostalAddress:江苏省南京市宁六路219号 (南京信息工程大学 气象楼1207室)
     OfficePhone:025-58235985
     Telephone:18611323142
     E-mail:ybliu@nuist.edu.cn