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成员
黄向宇
职称:数值预报首席科学家
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资料同化专家,在资料同化研究、观测系统设计和评估以及数值天气预报系统开发等方面拥有丰富的经验。曾任HIRLAM资料同化系统的首席科学家、WRF资料同化系统的首席科学家,新加坡数值预报系统SINGV的首席科学家。研究成果被大气界学者和业务人员广泛引用。由于其突出的学术成绩,2002至2009年,被欧洲中期天气预报中心(ECMWF/SAC)聘请为科学指导委员会委员,是多届欧洲地球物理协会大会(EGU/EGS)分会召集人。
教育背景
1984.01 - 1988.05 瑞典斯德哥尔摩大学气象系,博士 1978.10 - 1982.07 北京大学地球物理系,理学学士
工作经历
2021.04 - 至今 北京城市气象研究院,数值预报首席科学家 2020.09 - 2021.03 新加坡气象局气候研究中心天气研究所,所长 2018.12 - 2020.08 新加坡气象局气候研究中心天气室,主任 2014.08 - 2021.03 新加坡气象局气候研究中心,高级首席研究科学家 2007.12 - 2014.08 美国国家大气研究中心中尺度和微尺度气象学部,WRFDA首席科学家 2007.12 - 2012.04 美国国家大气研究中心数据同化试验台中心,中心主任 2005.07 - 2007.12 美国国家大气研究中心中尺度和微尺度气象学部,项目科学家III 2004.08 - 2005.07 美国国家大气研究中心中尺度和微尺度气象学部,客座科学家 1995.06 - 2004.08 丹麦气象局气象研究处数据同化组组长 1992.02 - 2007.07 丹麦气象局气象研究处高级科学家 1988.07 - 1992.01 瑞典斯德哥尔摩大学气象系研究员 1985.07 - 1988.06 瑞典斯德哥尔摩大学气象系助教
研究领域
数据同化技术 观测系统 数值预报系统的初始化和噪声控制 数值方法 湿对流和云参数化
奖励
美国气象学会Kenneth D.Spengler奖(2020)
其他任职
2020 - 2021 世界气象组织基础设施委员会应用地球系统建模和预测投影数据处理常设委员会委员 2018-至今 Advances in Atmospheric Sciences. 编辑委员会委员 2012 - 2020 Meteorology and Atmospheric Physics. 编辑委员会委员 2012-至今 Tellus A. 咨询委员会委员 2003 - 2008 欧洲气象卫星应用组织 (EUMETSAT)第三代气象卫星任务组成员 2003 - 2004 欧洲 HIRLAM 资料同化负责人 2002 - 2009 欧洲中期天气预报中心(ECMWF/SAC)科学指导委员会委员 1999 - 2004 欧洲地球物理协会/欧洲地理科学联盟大会 NWP分会 召集人 2002 - 2004 欧洲地球物理学会通讯和信息服务组,大气科学编辑 2002 - 2021 北京城市气象研究院 客座专家 1999 - 2003 水文和NWP模型中使用雷达观测(COST 717)的欧盟行动,丹麦代表 1999 - 2004 EUMETNET复合观测系统(EUCOS)科学顾问小组成员 1996 - 2002 北大西洋复合观测系统(SEG/COSNA)科学评估组成员 国际科学期刊审稿人: 《Tellus》, 《Meteorology and Atmospheric Physics》,《Monthly Weather Review》, 《Weather and Forecasting》,《Meteorological Applications》,《Quarterly Journal of the Royal Meteorological Society》, 《Journal of Applied Meteorology and Climatology》,《Advances in Atmospheric Sciences》, 《Bulletin of the American Meteorological Society》, 《Geophysical Research Letters》, 《Theoretical and Applied Climatology》, 《Meteorologische Zeitschrift》, 《Physical Geography》, 《Atmosfera, Asia-Pacific Journal of Atmospheric Science》, 《Solar Energy》
发表论文
Lee JCK, Huang X-Y. 2022. Modelling the Background Error Covariance Matrix: Applicability Over the Maritime Continent. In: Park S.K., Xu L. (eds) Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV). Springer, Cham. 599-627. doi:10.1007/978-3-030-77722-7_23 Lee JCK, Dipankar A, Huang X-Y. 2021. On the sensitivity of the simulated diurnal cycle of precipitation to 3-hourly radiosonde assimilation: A case study over the western Maritime Continent. Mon. Wea. Rev., 149, 3449-3468. doi:10.1175/MWR-D-20-0423.1 Dipankar A, Rajagopalan R, Huang X-Y. 2021. Understanding the Dependence of Storm Splitting on Numerical Models: Comparing UM and WRF. Q. J. R. Meteor. Soc., 147, 2303-2322. doi:10.1002/qj.4025 Simon-Moral A, Dipankar A, Doan QV, Sanchez C, Roth M, Becker E, Huang X-Y. 2021. Urban intensification of convective rainfall over the Singapore - Johor Bahru urban region. Q. J. R. Meteor. Soc., 147, 3665-3680. doi:10.1002/qj.4147 Doan QV, Dipankar A,Simon-Moral A, Sanchez C, Prasanna V, Roth M, Huang X-Y. 2021. Urban-induced modifications to the diurnal cycle of rainfall over a tropical city. Q. J. R. Meteor. Soc., 147, 1189-1201. doi:10.1002/qj.3966 Thompson B, Sanchez C, Heng P, Kumar R, Liu J, Huang X-Y, Tkalich P. 2021. Development of a MetUM (v 11.1) – NEMO (v 3.6) coupled operational forecast model for the Maritime Continent: Part 1 - Evaluation of ocean forecasts. Geosci. Model Dev., 14, 1081–1100. doi.org/10.5194/gmd-14-1081-2021 Dipankar A, Webster S, Sun X, Sanchez C, North R, Furtado K, Wilkinson J, Lock A, Vosper S, Huang X-Y, Barker D. 2020. SINGV: a convective-scale weather forecast model for Singapore. Q. J. R. Meteor. Soc.,146, 4131-4146. doi:10.1002/qj.3895 Heng BCP, Huang X-Y. 2020. Verification of SINGV-DA forecasts over Singapore (December 2018 to November 2019). MSS Research Letters, 5, 5-14. Lee JCK, Huang X-Y. 2020. Background error statistics in the tropics: Structures and impact in a convective-scale numerical weather prediction system. Q. J. R. Meteor. Soc., 146, 2154-2173. doi:10.1002/qj.3785 Heng BCP, Tubbs R, Huang X-Y, Macpherson B, Barker DM, Boyd DFA, Kelly G, North R, Stewart L, Webster S, Wlasak, M. 2020. SINGV Data Assimilation System: Development and Operational Implementation. Q. J. R. Meteor. Soc., 146, 1923-1938. doi:10.1002/qj.3774 Sun X, Huang X-Y, Gordon C, Mittermaier M, Becket R, Cheong WK, Barker DM, North R, Semple A. 2020. A subjective and objective evaluation of NWP forecasts of Sumatra Squall events. Weather and Forecasting, 35, 489-506. doi:10.1175/WAF-D-19-0187.1 Simon-Moral A, Dipankar A, Roth M, Sanchez C, Velasco E, Huang X-Y. 2020 Application of MORUSES single layer urban canopy model in a tropical city: results from Singapore. Q. J. R. Meteor. Soc., 146, 576-597. doi:10.1002/qj.3694 Huang X-Y, Barker D, Webster S, Dipankar A, Lock A, Mittermaier M, Sun X, North R, Darvell R, Boyd D, Lo J, Liu J, Macpherson B, Heng P, Maycock A, Pitcher L, Tubbs B, McMillan M, Zhang S, Hagelin S, Porson A, Song G, Beckett B, Cheong WK, Semple A, Gordon C. 2019. SINGV - the Convective-Scale Numerical Weather Prediction System for Singapore. ASEAN J. Sci. Tech. Dev., 36(3), 81-90. doi:10.29037/ajstd.581 Dipankar A, Webster S, Huang X-Y, Doan QV. 2019. Understanding biases in simulating the diurnal cycle of convection over western coast of Sumatra: comparison with pre-YMC observation campaign. Mon. Wea. Rev., 147, 1615-1631. doi:10.1175/MWR-D-18-0432.1 Thompson B, Sanchez C, Sun X, Song G, Liu J, Huang X-Y, Tkalich P. 2019. A High-resolution Atmosphere-Ocean Coupled Model for the Western Maritime Continent: Development and Preliminary Assessment. Clim. Dyn., Volume 52, Issue 7-8, 3951-3981, doi:10.1007/s00382-018-4367-0 Skamarock WC, Klemp JB, Dudhia J, Gill DO, Liu Z, Berner J, Wang W, Powers JG, Duda MG, Barker M, Huang XY. 2019. A Description of the Advanced Research WRF Model Version 4. NCAR/TN-556+STR. doi:10.5065/1dfh-6p97. Lee J, Huang X-Y. 2019. Structure of the background error covariance matrix for SINGV. MSS Research Letters, 3, 25-36. Sun X, Becker E, Zhang S, Huang X-Y, Doan QV. 2018. Development of a Machine-Learning Nowcasting System at the Meteorological Service Singapore. MSS Research Letters, 2, 33-40. Chen Y, Wang J, Gao Y, Chen X, Wang H, Huang X-Y. 2018. Refinement of the Use of Inhomogeneous Background Error Covariance Estimated from Historical Forecast Error Samples and its Impact on Short-Term Regional Numerical Weather Prediction. J. Meteorol. Soc. Japan, 96:5, 429-446, doi:10.2151/jmsj.2018-048 Ban J, Liu Z, Zhang X, Huang X-Y, Wang H. 2017. Precipitation data assimilation in WRFDA 4D-Var: implementation and application to convection-permitting forecasts over United States. Tellus A, 69:1, 1368310, doi:10.1080/16000870.2017.1368310 Peng W, Liang X, Zhang X, Huang X-Y, Lu B, Fu Q. 2017. Application of Physical Filter Initialization in 4DVar. Mon. Wea. Rev., 145, 2201-2216, doi:10.1175/MWR-D-16-0274.1 Yu H, Wang H, Meng Z, Mu M, Huang X-Y, Zhang X. 2017. Forecast Sensitivity to Initial Perturbation: Conditional Non-linear Optimal Perturbations vs. the First Singular Vector and Their Model Dependency. J. Atmos. Oceanic Technol., 34(1), 187-206, doi:10.1175/JTECH-D-15-0183.1 Wang Y, Min J, Chen Y, Huang X-Y, Zeng M, Li X. 2017. Improving precipitation forecast with hybrid 3DVar and time-lagged ensembles in a heavy rainfall event. Atmospheric Research, 183, 1-16, doi:10.1016/j.atmosres.2016.07.026 Chen Y, Xia X, Min J, Rizvi SRH, Huang X-Y, Wang Y, Zhang R, Chen X. 2016. Balance characteristics of multivariate background error covariance for rainy and dry seasons and its impact on rainfall forecasts. Meteor. Atmos. Phys., 128, 579-600, doi:10.1007/s00703-016-0434-4 Shao H, Derber J, Huang X-Y, Hu M, Newman K, Stark D, Lueken M, Zhou C, Nance L, Kuo Y-H, Brown B. 2016. Bridging Research to Operations Transitions: Status and Plans of Community GSI. Bull. Amer. Meteor. Soc., 97(8), 1427-1440, doi:10.1175/BAMS-D-13-00245.1 Yang C, Liu Z, Bresch J, Rizvi SRH, Huang X-Y, Min J. 2016. AMSR2 all-sky radiance assimilation and its impact on the analysis and forecast of Hurricane Sandy with a limited-area data assimilation system. Tellus A, 68, 30917, doi:10.3402/tellusa.v68.30917 Xing J, Shi J, Lei Y, Huang X-Y, Liu Z. 2016. Evaluation of HY-2A Scatterometer Wind Vectors Using Data from Buoys, ERA-Interim and ASCAT during 2012-2014. Remote Sensing, 2016, 8, 390, doi:10.3390/rs8050390 Wang Y, Chen Y, Gao Y, Huang X-Y, Wang H. 2016 Impact of different ETKF covariance inflation schemes on WRFDA/hybrid assimilation and forecasting. Plateau Meteorology, 35(2), 397-405, doi:10.7522/j.issn.1000-0534.2014.00147 Schwartz C, Liu Z, Huang X-Y. 2015. Sensitivity of limited-area hybrid variational-ensemble analyses and forecasts to ensemble perturbation resolution. Mon. Wea. Rev., 143, 3454-3477, doi:10.1175/MWR-D-14-00259.1 Chen Y, Wang H, Min J, Huang X-Y, Minnis P, Zhang R, Haggerty J, Palikonda R. 2015. Variational assimilation of cloud liquid/ice water path and its impact on NWP. J. Appl. Meteor. Climatol., 54,1809-1825, doi:10.1175/JAMC-D-14-0243.1 Newman KM, Schwartz CS, Liu Z, Shao H, Huang X-Y. 2015. Evaluating Forecast Impact of Assimilating Microwave Humidity Sounder (MHS) Radiances with a Regional Ensemble Kalman Filter Data Assimilation System. Weather and Forecasting, 30, 964-983, doi:10.1175/WAF-D-14-00091.1 Gao F, Huang X-Y, Jacobs N, Wang H. 2015. Assimilation of wind speed and direction observations: results from real data experiments. Tellus A, 67, 27132, doi:10.3402/tellusa.v67.27132 Hsiao L-F, Huang X-Y, Kuo Y-H, Chen D-S, Wang H, Tsai C-C, Yeh T-C, Hong J-S, Fong C-T, Lee C-S. 2015. Blending of Global and Regional Analyses with a Spatial Filter: Application to Typhoon Prediction over the Western North Pacific Ocean. Weather and Forecasting, 30, 754-770, doi:10.1175/WAF-D-14-00047.1 Xu D, Huang X-Y, Wang H, Mizzi AP, Min J. 2015. Impact of assimilating AMSU-A radiances with the WRFDA ETKF/3DVAR hybrid system on the prediction of two typhoons (2012). J. Meteor. Res., 29(1), 028-040, doi:10.1007/s13351-014-4053-z Zhang X, Wang H, Huang X-Y, Gao F, Jacobs NA. 2015. Using adjoint-based forecast sensitivity method to evaluate TAMDAR data impacts on regional forecasts. Advances in Meteorology, vol. 2015, Article ID 427616, 13 pages. doi:10.1155/2015/427616 Xu D, Auligne T, Huang X-Y. 2015. A validation of the multivariate and minimum residual method for cloud retrieval using radiance from multiple satellites. Adv. Atmos. Sci., 32, 1-14. doi:10.1007/s00376-014-3258-5 Chiang C-H, Zhang X, Fong C-T, Huang X-Y. 2014 The preliminary assessment of Four-Dimensional Variational Data Assimilation (4DVAR) performance at Central Weather Bureau. Meteorological Bulletin, 51(1), 55-80. Chen Y, Wang Y, Min J, Huang X-Y, Liu Z, Pan Y. 2014 A hybrid assimilation method with control variable perturbation and multi-physical parameterization. Trans. Atmos. Sci., 37(6), 732-739. doi:10.13878/j.cnki.dqkxxb.20130923007 Zhang X, Huang X-Y, Liu J, Poterjoy J, Weng Y, Zhang F, Wang H. 2014. Development of an efficient regional four-dimensional variational data assimilation system for WRF. J. Atmos. Oceanic Technol., 31, 2777-2794, doi:10.1175/JTECH-D-13-00076.1 Wang H, Huang X-Y, Sun J, Xu D, Zhang M, Fan S, Zhong J. 2014. Inhomogeneous background error modeling for WRF-Var using the NMC method. J. Appl. Meteor. Climatol., 51, 2287-2309, doi:10.1175/JAMC-D-13-0281.1 Zhang X, Kuo Y-H, Chen S-Y, Huang X-Y, Hsiao L-F. 2014 Parallelization strategies for the GPS radio occultation data assimilation with a nonlocal operator. J. Atmos. Oceanic Technol., 31, 2008-2014, doi:10.1175/JTECH-D-13-00195.1 Wang H, Huang X-Y, Liu J, Xu D. 2014. A scale-dependent blending scheme for WRFDA: Impact on regional weather forecasting. Geosci. Model Dev., 7, 1819-1828. doi:10.5194/gmd-7-1819-2014 Xu D, Huang X-Y, Liu Z, Min J. 2014. Comparisons of Two Cloud Detection Schemes for Infrared Radiance Observations. Atmospheric and Oceanic Science Letters, 7(4), 358-363. doi:10.3878/j.issn.1674-2834.14.0016 Chen Y, Zeng L, Huang X-Y, Wang H, Rizvi SRH. 2014. A study of latitude dependent background error covariance and its impact. Journal of Tropical Meteorology, 30(4), 654-662. doi:10.3969/j.issn.1004-4965.2014.04.006 Gao F, Childs PP, Huang X-Y, Jacobs NA, Min JZ. 2014. A relocation-based initialization scheme to improve track-forecasting of tropical cyclones. Adv. Atmos. Sci., 31, 27-36. doi:10.1007/s00376-013-2254-5 Choi Y, Lim G-H, Lee D-K, Huang X-Y. 2014. An adjoint sensitivity-based data assimilation method and its comparison with existing variational methods. Tellus A, 66, 21584, doi:10.3402/tellusa.v66.21584 Huang X-Y, Gao F, Jacobs N, Wang H. 2013. Assimilation of wind speed and direction observations: a new formulation and results from idealized experiments. Tellus A, 65, 19936, doi:10.3402/tellusa.v65i0.19936 Schwartz CS, Liu Z, Huang X-Y, Kuo Y-H, Fong C-T. 2013. Comparing limited-area 3DVAR and hybrid variational-ensemble data assimilation methods for typhoon track forecasts: Sensitivity to outer loops and vortex relocation. Mon. Wea. Rev, 141, 4350-4372. doi:10.1175/MWR-D-13-00028.1 Jung B-J, Kim HM, Auligne T, Zhang Xin, Zhang Xiaoyan, Huang X-Y. 2013. Adjoint-derived observation impact using WRF in the western North Pacific. Mon. Wea. Rev., 141, 4080-4097. doi:10.1175/MWR-D-12-00197.1 Xu D, Liu Z, Huang X-Y, Min J, Wang H. 2013. Impact of assimilating IASI radiance observations on forecasts of two tropical cyclones. Meteor. Atmos. Phys., 122, 1-18. doi:10.1007/s00703-013-0276-2 Zhang X, Huang X-Y, Pan N. 2013. Development of the upgraded tangent linear and adjoint of the weather research and forecasting (WRF) modeling system. J. Atmos. Oceanic Technol., 30, 1180-1188, doi:10.1175/JTECH-D-12-00213.1 Wang H, Sun J, Zhang X, Huang X-Y, Auligne T. 2013. Radar data assimilation with WRF 4D-Var: Part I. System development and preliminary testing. Mon. Wea. Rev., 141, 2224-2244. doi:10.1175/MWR-D-12-00168.1 Chen Y, Rizvi SRH, Huang X-Y, Min J, Zhang X. 2013. Balance characteristics of multivariate background error covariance and their impact on analyses and forecasts in Tropics and Arctic. Meteor. Atmos. Phys., 121, 79-98. doi:10.1007/s00703-013-0251-y Wang H, Huang X-Y, Chen Y. 2013. An observation system simulation experiment for the impact of MTG candidate infrared sounding mission no regional forecasts: system development and preliminary results. ISRN Meteorology, vol. 2013, Article ID 971501, 18 pages. doi:10.1155/2013/971501 Wang H, Sun J, Fan S, Huang X-Y. 2013. Indirect assimilation of radar reflectivity with WRF 3D-Var and its impact on prediction of four summertime convective events. J. Appl. Meteor. Climatol., 52, 889-902. doi:10.1175/JAMC-D-12-0120.1 Barker D, Huang X-Y, Liu Z, Aulign T, Zhang Xin, Rugg S, Ajjaji R, Bourgeois A, Bray J, Chen Y, Demirtas M, Guo Y-R, Henderson T, Huang W, Lin H-C, Michalakes J, Rizvi S, Zhang Xiaoyan, 2012. The Weather Research and Forecasting (WRF) Model's Community Variational/Ensemble Data Assimilation System: WRFDA. Bull. Amer. Meteor. Soc., 93, 831-843. doi:10.1175/BAMS-D-11-00167.1 Chen M, Huang X-Y, Wang W. 2012. Difficulties in the implementation of the digital filter initialization in a high resolution numerical weather forecast model. Acta Meteorologica Sinica, 70(1), 109-118. Gao F, Zhang Xiaoyan, Jacobs N, Huang X-Y, Zhang Xin, Childs P. 2012. Estimation of TAMDAR Observational Error and Assimilation Experiments. Weather and Forecasting, 27, No. 4, 856-877. doi:10.1175/WAF-D-11-00120.1 Gustafsson N, Huang X-Y, Yang X, Mogensen KS, Lindskog M, Vignes O, Wilhelmsson T, Thorsteinsson S. 2012. Four-dimensional variational data assimilation for a limited area model. Tellus, 64A, 14985. doi:10.3402/tellusa.v64i0.14985 Schwartz CS, Liu Z, Chen Y, Huang X-Y. 2012. Impact of assimilating microwave radiances with a limited-area ensemble data assimilation system on forecasts of typhoon Morakot. Weather and Forecasting, 27, 424-437. doi:10.1175/WAF-D-11-00033.1 Wang H, Huang X-Y. 2012. TAMDAR Observation Assimilation in WRF 3D-Var and its Impact on Hurricane Ike (2008) Forecast. Atmospheric and Oceanic Science Letters, VOL. 5, NO. 3, 206-211. Wang H, Mu M, Huang X-Y. 2011. Application of Conditional Nonlinear Optimal Perturbation to Tropical Cyclone Adaptive Observation using the Weather Research Forecasting (WRF) model. Tellus, 63A, 939-957. doi:10.1111/j.1600-0870.2011.00536.x Zhang M, Zhang F, Huang X-Y, Zhang X. 2011. Inter-comparison of an ensemble Kalman filter with three- and four-dimensional variational data assimilation methods in a limited-area model over the month of June 2003. Mon. Wea. Rev., 139, 566-572. doi:10.1175/2010MWR3610.1 Lynch P, Huang X-Y. 2010. Initialization. Chapter 9, in Data Assimilation: Making sense of observations, eds. W. Lahoz, B. Khattatov and R. Menard, Springer. ISBN: 978-3-540-74702-4. Fan S, Guo Y-R, Chen M, Zhong J, Chu Y, Wang W, Huang X-Y, Wang Y, Kuo Y-H. 2009. Application of WRF 3DVar to a high-resolution model over Beijing area. Sciences in Cold and Arid Regions, 1(2), 135-142. Huang X-Y, Xiao Q, Barker DM, Zhang Xin, Michalakes J, Huang W, Henderson T, Bray J, Chen Y, Ma Z, Dudhia J, Guo Y, Zhang Xiaoyan, Won D-J, Lin H-C, Kuo Y-H. 2009. Four-Dimensional Variational Data Assimilation for WRF: Formulation and Preliminary Results. Mon. Wea. Rev., 137, 299-314. doi:10.1175/2008MWR2577.1 Fan S, Guo Y, Chen M, Zhong J, Chu Y, Wang W, Huang X-Y, Wang Y, Kuo Y-H. 2008. Application of WRF 3D-Var to a high resolution model over Beijing area. Plateau Meteorology, 27, 1181-1188. Huang X-Y, 2008. Book review: "Dynamic Data Assimilation: A Least Square Approach." Bulletin of the American Meteorological Society, 89, 1741. Xiao Q, Kuo Y-H, Ma Z, Huang W, Huang X, Zhang X, Barker DM, Michalakes J. 2008. Application of an Adiabatic WRF Adjoint to the Investigation of the May 2004 McMurdo, Antarctica, Severe Wind Event Mon. Wea. Rev., 136, 3696-3713. doi:10.1175/2008MWR2235.1 Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. Duda, X.-Y. Huang, W. Wang and J. G. Powers, 2008. A Description of the Advanced Research WRF Version 3. NCAR Technical Note, NCAR/TN-475+STR. [http://www.mmm.ucar.edu/wrf/users/docs/ARW_v3.pdf] Done J, Huang X-Y, Kuo Y-H. 2006. Investigating the relationship between water vapor convergence and severe convection using the Weather Research and Forecasting (WRF) model. , unpublished manuscript. Chen M, Huang X-Y. 2006. Digital Filter Initialization for MM5. Mon. Wea. Rev., 134, 1222-1236. Du C-L, Huang X-Y, Yu X. 2005. Applications of 4-dimentional variational data assimilation to the Lorenz system. Meteorological Monthly, 31, 23-26. Vedel H, Huang X-Y. 2004. Impact of ground based GPS data on NWP forecasts. J. Meteorol. Soc. Japan, 82, 459-472. Vedel H, Huang X-Y, Haase J, Ge M, Calais E. 2004. Impact of GPS zenith tropospheric delay data on precipitation forecasts in Mediterranean France and Spain. Geophys. Res. Lett., 31, L02102, doi:10.1029/2003GL017715 Sattler K, Huang X-Y. 2002. Structure function characteristics for 2 meter temperature and relative humidity in different horizontal resolution. Tellus 54A, 14-33. Gustafsson N, Berre L, Hönquist S, Huang X-Y, Lindskog M, Navascues B, Mogensen KS, Thorsteinsson S. 2001. Three-dimensional variational data assimilation for a limited area model. Part I: General formulation and the background error constraint. Tellus 53A, 425-446. Lindskog M, Gustafsson N, Navascues B, Mogensen KS, Huang X-Y, Yang X, Andrae U, Berre L, Thorsteinsson S, Rantakokko J. 2001. Three-dimensional variational data assimilation for a limited area model. Part II: Observation handling and assimilation experiments. Tellus 53A, 447-468. Vedel H, Mogensen KS, Huang X-Y 2001. Calculation of zenith delays from meteorological data, comparison of NWP model, radiosonde and GPS delays. Physics and Chemistry of the Earth, 26, 497-502. Huang X-Y. 2000. Variational analysis using spatial filters. Mon. Wea. Rev. 128, 2588-2600. Amstrup B, Huang X-Y. 1999. Impact of the additional FASTEX radiosonde observations on the HIRLAM data assimilation and forecasting system. Q. J. R. Meteor. Soc. 125, 3359-3374. Huang X-Y. 1999. A generalization of using an adjoint model in intermittent data assimilation systems. Mon. Wea. Rev. 127,766-787. Yu X-D, Huang X-Y, Laursen L, Rasmussen E. 1997. Application of the HIRLAM system in China - torrential rain forecast experiments in Yangtze river valley. Q. J. Appl. Meteor., 8, 498-502. Yu X-D, Huang X-Y, Laursen L, Rasmussen E. 1997. On the sensitivity of precipitation forecasts to the moist physics and the horizontal resolution of numerical model. Acta Meteorologica Sinica, 11, 432-445. Huang X-Y, Gustafsson N, Källén E. 1997. Using an adjoint model to improve an optimum interpolation based data assimilation system. Tellus 49A, 161-176. Gustafsson N, Huang X-Y. 1996. Sensitivity experiments with the spectral HIRLAM and its adjoint. Tellus 48A, 501-517. Huang X-Y. 1996. Initialization of cloud water content in a data assimilation system. Mon. Wea. Rev. 124, 478-486. Huang X-Y, Cederskov A, Källén E. 1994. A comparison between digital filtering initialization and nonlinear normal mode initialization in a data assimilation system. Mon. Wea. Rev. 122, 1001-1015. Lynch P, Huang X-Y. 1994. Diabatic initialization using recursive filters. Tellus 46A, 583-597. Huang X-Y, Sundqvist H. 1993. Initialization of cloud water content and cloud cover for numerical prediction models. Mon. Wea. Rev. 121, 2719-2726. Huang X-Y, Lynch P. 1993. Diabatic digital filter initialization: Application to the HIRLAM model. Mon. Wea. Rev. 121, 589-603. Lynch P, Huang X-Y. 1992. Initialization of the HIRLAM model using a Digital Filter. Mon. Wea. Rev. 120,1019-1034. Huang X-Y. 1990. The organization of moist convection by internal gravity waves. Tellus 42A, 270-285. Källén E, Huang X-Y. 1988. The influence of isolated observations on short range numerical weather forecasts. Tellus 40A, 324-336. Huang X-Y. 1988. On the hysteretic behaviour of moist convection. Tellus 40A, 237- 247. Källén E, Huang X-Y. 1987. A simple model for large-scale thermohaline convection. Dyn. Atmos. Oceans, 11, 153-173. Huang X-Y, Källén E. 1986. A low-order model for moist convection. Tellus 38A, 381-396. Huang X-Y, Källén E. 1986. Comments on "A note on CISK in polar air masses". Tellus 38A, 378-379.
承担项目
MSS-NUS-Urban-II - Role of urbanization on the diurnal cycle of rainfall over Singapore. Meteorological Service Singapore - National University Singapore joint project. 2018-2020. PI. MSS-NUS-Coupled-II - The use of a regional coupled ocean-atmosphere model in weather and climate prediction. Meteorological Service Singapore - National University Singapore joint project. 2018-2020. PI. MSS-NUS-Urban-I - Assessing the impact of urbanization on key climate processes over Singapore. Meteorological Service Singapore - National University Singapore joint project. 2016-2018. PI. MSS-NUS-Coupled-I - The role of coupled atmosphere-ocean processes in determining the weather and climate of Singapore and the surrounding region. Meteorological Service Singapore - National University Singapore joint project. 2016-2018. PI. SINGV - Tropical convective-scale NWP and data assimilation in S.E. Asia. Meteorological Service Singapore - United Kingdom Met Office joint project. 2013-2018. PI since August 2014. UKMO - Tropical convective-scale NWP and data assimilation in S.E. Asia. NCAR - United Kingdom Met Office project. 2014. PI. PAC (AIRDAT-III) - Assimilating TAMDAR Observations Using the WRFDA System. NCAR - AIRDAT project. 2013-2014. PI. NRL - Development of assimilation strategies for MSG-SEVERI and GCOM-W1 AMSR-2 radiances. NCAR - NRL project. 2013-2014. PI. IUM - Radar data assimilation using WRFDA. NCAR - CMA/IUM project. 2012-2013. PI. AIRDAT-II - Assimilating TAMDAR Observations Using the WRFDA System. NCAR - AIRDAT project. 2010-2013. PI. AOD - Toward a coupled atmosphere-aerosol monitoring, analysis and prediction system at AFWA. NCAR - AFWA project. 2010-2014. Co-PI. ACAPS - AFWA Cloud Assimilation and Prediction System. NCAR - AFWA project. 2008-2014. PI. AIRDAT - Assimilating TAMDAR Observations Using the WRFDA System. NCAR - AIRDAT project. 2008-2009. PI. WRFDA - The WRF Data Assimilation system. The project has been primarily supported by AFWA. 2008-2014. PI. MTGIRS - Benefit of the MTG candidate Infra-Red Sounding mission to regional forecast. NCAR - EUMETSAT project. 2007-2008. PI. WRFDFI - An implementation of DFI to WRF. Collaboration project between KMA, BMB and UCAR. 2006. PI. BMBUCAR - Training, Research and Operational Implementation of WRF 3D-Var. Collaboration project between BMB and UCAR. 2005-2008. PI. MTGWVC - Potential of MTG to detect water vapour convergence linked to severe convection. NCAR - EUMETSAT project. 2004-2005. PI. TOUGH - Targeting Optimal Use of GPS Humidity data. EU project. 2003-2006. PI. ATLAF - ATOVS data assimilation for Limited Area Forecasting. EUMETSAT project. 2003-2006. PI. GODANS - GPS satellite Occultation Data Assimilation for Numerical weather prediction Systems. Danish Research Council project. 1998-2001. PI. MAGIC - Meteorological Applications of GPS Integrated water vapor measurements in the Western Mediterranean. EU project. 1998-2001. Danish PI. CLIMAP - CLImate and environment Monitoring with GPS Atmospheric Profiling. EU project. 1998-2000. Data Assimilation lead. CASE - Impact of an atmospheric profiling mission on NWP. ESA project. 1998-2000. Danish PI. HIRLAM - HIgh Resolution Limited-Area Modelling. International research project. Participating countries: Denmark, Finland, Iceland, Ireland, Netherlands, Norway and Sweden. 1985-. 4D-Var lead, 1995-2003; Data Assimilation lead, 2003-2004.
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