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J63. Zhang, L., M. Fu*, H. Tian, Y. Ma, J-P. Chen, T-C. Tsai, Z. Meng, X. Yang, 2020: Anthropogenic Aerosols Significantly Reduce Mesoscale Convective System Occurrences and Precipitation over Southern China in April. (Supporting_Information), Geophysical Research Letters, accepted.


J62. Wu*, N., X. Zhuang, J. Min, Z. Meng, 2020:, Practical and Intrinsic Predictability of a Warm-sector Torrential Rainfall Event in the South China Monsoon Region,Journal of Geophysical Research: Atmospheres,



J61. 孟智勇, 张福青, 罗德海, 谈哲敏, 方娟, 孙建华, 沈学顺, 张云济, 汪曙光, 韩威, 赵坤, 朱磊, 胡永云, 薛惠文, 马亚平, 张丽娟, 聂绩, 周瑞琳, 李飒, 刘泓君, 朱宇宁. 2019: 新中国成立70年以来的中国大气科学研究: 天气篇.中国科学: 地球科学, 49 (12), 1875-1918,


J60. Meng Z, Zhang F, Luo D, Tan Z, Fang J, Sun J, Shen X, Zhang Y, Wang S, Han W, Zhao K, Zhu L, Hu Y, Xue H, Ma Y, Zhang L, Nie J, Zhou R, Li S, Liu H, Zhu Y. 2019: Review of Chinese atmospheric science research over the past 70 years: Synoptic meteorology.Science China Earth Sciences, 62 (12), 1946-1991,

J59. Wu, N., X. Ding, Z. Wen*, G. Chen, Z. Meng, L. Lin, and J. Min, 2019: Contrasting Frontal and Warm-sector Heavy Rainfalls over South China during the Early-Summer Rainy Season.Atmospheric Research, 235.

J58. Zhang, M., and Z. Meng*, 2019: Warm-Sector Heavy Rainfall in Southern China and its WRF Simulation Evaluation: A Low-Level-Jet Perspective. Monthly Weather Review,147, 4461-4480.MengZhiyong_2019MWR_Rain_LLJ.pdf

J57. He, J., F. Zhang*, X. Chen, X. Bao, D. Chen, H. M.Kim, H.W. Lai, R. Leung, X. Ma, Z. Meng, T. Ou, Z. Xiao, E. G. Yang, K. Yang,2019: Development and Evaluation of an Ensemble-based Data Assimilation System for Regional Reanalysis over the Tibetan Plateau and Surrounding Regions.Journal of Advances in Modeling Earth Systems, 11, 2503–2522.

J56. Bai, L., Z. Meng*, K. Sueki, and R. Zhou, 2019: Climatology of Tropical Cyclone Tornadoes in China from 2006 to 2018.Science China Earth Sciences , 62.

J55. Zhang, M., Z. Meng*,Y. Huang, and D. Wang, 2019: The Mechanism and Predictability of an Elevated Convection Initiation Event in a Weak-Lifting Environment in Central Eastern China. Monthly Weather Review, 147, 1823-1841.MengZhiyong_2019MWR_FuningCI.pdf

J54. Yao, D., Z. Meng*, M. Xue, 2019: Genesis, Maintenance and Demise of a Simulated Tornado and the Evolution of its preceding Descending Reflectivity Core (DRC).Atmosphere, 10(5), 236;

J53. Huang, Y., Z. Meng*,W. Li, L.Bai,and X.Meng,2019: General Features of Radar-Observed Boundary Layer Convergence Lines and Their Associated Convection over a Sharp Vegetation-Contrast Area. Geophysical Research Letters, 46(5), 2865-2873.

J52. Meng*, Z., X. Tang, J. Yue, L. Bai, and L. Huang , 2019: Impact of EnKF surface and rawindsonde data assimilation on the simulation of the extrememely heavy rainfall in Beijing on 21 July 2012. Acta Scientiarum Naturalium Universitatis Pekinensis (in Chinese with English Abstract), 55(2), 237-245.MengZhiyong_2019ASNUP_721Rain.pdf

J51. Bai, L., Z. Meng*,Y. Huang, Y. Zhang,, S. Niu, and T. Su, 2019: Convection Initiation Resulting from the Interaction between a PBL Confluence Line and Gust Fronts: A Case Study. Journal of Geophysical Research: Atmospheres, 124(5), 2379-2396.


J50. Zhang, M., and Z. Meng*, 2018: Impact of synoptic-scale factors on rainfall forecast in different stages of a persisitent heavy rainfall event in South China. Journal of Geophysical Research: Atmospheres, 123(7),3574-3593.MengZhiyong_2018JGR_PersistentRainfall.pdf

J49. Meng*, Z., L.Bai , M. Zhang, Z. Wu, Z. Li, M, Pu, Y. Zheng, X. Wang, D. Yao, M. Xue, K. Zhao, Z, Li, S. Peng, L. Li, 2018: The Deadliest Tornado (EF4) in the Past 40 Years in China. Weather and Forecasting, 33, 693-713.MengZhiyong_2018WAF_FuningTornado.pdf

J48. Deng, X., H.Xue*, and Z. Meng, 2018: The effect of ice nuclei on a deep convective cloud in South China. Atmospheric Research, 206, 1-12.MengZhiyong_2018AR_Ice_nuclei.pdf


J47. Luo, Y., R. Zhang, Q. Wan, B. Wang, W.K. Wong, Z. Hu, B.J. Jou, Y. Lin, R.H. Johnson, C. Chang, Y. Zhu, X. Zhang, H. Wang, R. Xia, J. Ma, D. Zhang, M. Gao, Y. Zhang, X. Liu, Y. Chen, H. Huang, X. Bao, Z. Ruan, Z. Cui, Z. Meng, J. Sun, M. Wu, H. Wang, X. Peng, W. Qian, K. Zhao, and Y. Xiao, 2017: The Southern China Monsoon Rainfall Experiment (SCMREX). Bull. Amer. Meteor. Soc.,,98,999-1013,


J46. Chen, L.,Z. Meng*, C. Cong, 2017: An overview on the research of typhoon rainfall distribution. Journal of Marine Meteorology.(in Chinese with English Abstract), 37(4),1-7.MengZhiyong_2017JMM_TC_Rainfall.pdf

J45. Bai, L., Z.Meng*, L.Huang, L.Yan, Z. Li, X. Mai, Y.Huang,D.Yao, X.Wang,2017: An Integrated Damage, Visual, and Radar Analysis of the 2015 Foshan, Guangdong EF3 Tornado in China Produced by the Landfalling Typhoon Mujigae (2015). Bulletin of the American Meteorological Society, 98.2619-2640.MengZhiyong_2017BAMS._Foshan_Tornado.pdf

J44. Zhu, L., Z.Meng*, F. Zhang, P. Markowski, 2017: The influence of sea- and land-breeze circulations on the diurnal variability of precipitation over a tropical island (2015). Atmospheric Chemistry and Physics, 17, 13213-13232,

J43. Huang, Y., Z.Meng, J. Li, W. Li*, L. Bai, M. Zhang , and X.Wang,2017: Distribution and variability of satellite-derived signals of isolated convection initiation over central Eastern China Journal of Geophysical Research: Atmospheres, 122,11357-11373.

J42. Bao, X.,Y. Luo*, J. Sun, Z.Meng, J. Yue, 2017: Assimilating Doppler Radar Observations with an Ensemble Kalman Filter for Convection-permitting Prediction of Convective Development in a Heavy Rainfall Event during the Pre-summer Rainy Season of South China, Science China Earth Sciences ,60,1866-1885.MengZhiyong_2017SCES_EnKF2.pdf

J41. Yu, H., H. Wang, Z. Meng*, M. Mu, X. Huang, X. Zhang, 2017: A WRF-based tool for forecast sensitivity to initial perturbation: the conditional non-linear optimal perturbations versus the first singular vector method and comparison to MM5, Journal of Atmospheric and Oceanic Technology, 34, 187-206.MengZhiyong_2017JTECH_CNOP.pdf

J40. Yue, J., Z. Meng*, C. Yu, L. Cheng, 2017: Impact of Coastal Radar Observability on the Forecast of Track and Rainfall of Typhoon Morakot (2009) using a WRF-based EnKF Data Assimilation, Advances in Atmospheric Sciences, 34(1),66-78.MengZhiyong_2017AAS_EnKF.pdf

J39. Yue, J., Z. Meng*,2017: Impact of Assimilating Taiwan Coastal Radar Radial Velocity on the Forecast of Typhoon Morakot (2009) in Southeastern China using a WRF-based EnKF, Science China Earth Sciences , 60(2),315–327.MengZhiyong_2017SCES_EnKF.pdf

J38. He, Z.,Q.Zhang*,L. Bai,and Z. Meng,2017: Characteristics of mesoscale convective systems in central East China and their reliance on atmospheric circulation patterns, International Journal of Climatology, 37(7),3276-3290.



J37. Zheng*,Y., W. Zhu, D. Yao, Z. Meng, M. Xue, K. Zhao, Z. Wu, X. Wang, and Y. Zheng, 2016: Wind Speed Scales and Rating of the Intensity of the 23 June 2016 Tornado in Funing County, Jiangsu Province, Meteorological Monthly (in Chinese with English Abstract), 42(11),1289-1303.MengZhiyong_2016M_Jianli.pdf

J36. Ai, Y., W. Li*, Z. Meng, J. Li, 2016: Life Cycle Characteristics of MCSs in Middle East China Tracked by Combining Geostationary Satellite and Precipitation Estimations, Monthly Weather Review, 144, 2517-2530.MengZhiyong_2016MWR_Satellite.pdf

J35. Zhang, Y., Z. Meng, P. Zhu, T. Tao, G. Zhai*, 2016: Mesoscale modeling study of severe convection over complex terrain, Advances in Atmospheric Sciences,33(11),1259-1270.MengZhiyong_2017AAS_CI.pdf

J34. Yu, H., Z. Meng*, 2016: Key Synoptic-scale Features Influencing the High-impact Heavy Rainfall in Beijing, China on 21 July 2012, Tellus A, 68,31045.MengZhiyong_2016Tellus_721.pdf

J33. Zheng*,Y., F. Tian, Z. Meng, M. Xue, D. Yao, L. Bai, X. Zhou, X. Mao, and M. Wang, 2016: Survey and Multi-scale Characteristics of Wind Damage Caused by Convective Storms in the Surrounding Area of the Capsizing Accident of Cruise Ship “Dongfangzhixing”, Meteorological Monthly (in Chinese with English Abstract), 42(1),1-13.


J32. Meng*, Z., D. Yao, L. Bai, Y. Zheng, M. Xue, X. Zhang, K. Zhao, F. Tian, and M. Wang, 2016: Wind Estimation around the Shipwreck of the "Oriental Star" Based on Field Damage Survey and Radar Observaions, Science Bulletin, 61(4) ,doi:10.1007/s11434-016-1005-2.MengZhiyong_2016CSB_Downburst.pdf

J31. Zhang, Y., F. Zhang, D. Stensrud, and Z. Meng*, 2016: Intrinsic Predictability of the 20 May 2013 Tornadic Thunderstorm Event in Oklahoma at Storm Scale, Monthly Weather Review, 144, 1273-1298.


J30. Zhu, L., Q. Wan, X. Shen,Z. Meng*, F. Zhang, Y. Weng, Y. Gao, Y. Zhang and J. Yue, 2016: Prediction and Predictability of a High-impact Western Pacific Landfalling Typhoon Vicente (2012) through Convection-permitting Ensemble Assimilation of Doppler Radar Velocity, Monthly Weather Review, 144, 21-43.



J29. Zhang Y., F. Zhang, D. Stensrud, and Z. Meng*, 2015: Predictability of the Tornadic Thunderstorm Event in Oklahoma on 20 May 2013: Sensitivity of Convection Initiation and Organization to Small Changes in Synoptic Timing and Topographical Forcing, Monthly Weather Review, 143, 2973-2997.MengZhiyong_2015MWR_Supercell_predictability1.pdf

C4. Z. Meng*,F. Zhang,2015: Ensemble-Based Data Assimilation. In: Gerald R. North (editor-in-chief), John Pyle and Fuqing Zhang (editors). Encyclopedia of Atmospheric Sciences, 2nd edition,, Vol 2, pp. 241-247.


C3. Z. Meng*, 2014: Recent Progress on Squall Lines in East China, "The Global Monsoon System: Research and Forecast" 3rd edition, World Scientific Series on Asia-Pacific Weather and Climate, accepted.

C2. Z. Meng*,Y. Zhang,2013: The Formation,Development and Movement of Squall Lines Preceding Tropical Cyclone. In: Unusual Changes of Landfalling Typhoons, Science Press,, in press.

J28. Bei, N., G. Li, Z. Meng, Y. Weng, M. Zavala and L. Molina, 2014: Impacts of using an ensemble Kalman filter on air quality simulations along the California-Mexico border region during Cal-Mex 2010 Field Campaign. The Science of the total environment,499, 141-153.MengZhiyong_2014STE_EnKF.pdf

J27. Zhang, Y., Z. Meng*, F. Zhang and Y. Weng,2014: Predictability of tropical cyclone intensity evaluated through 5-year forecasts with a convection-permitting regional-scale Model in the Atlantic Basin, Weather and Forecasting,29,1003-1023.MengZhiyong_2014WAF_TC_Predictability.pdf

J26. Meng*, Z. and D. Yao, 2014: Damage Survey, Radar and Environment Analyses on the First-ever Documented Tornado in Beijing during the Heavy Rainfall Event of 21 July 2012, Weather and Forecasting, 29, 702-724.


J25. Huang, L. and Z. Meng*,2014: Quality of the target area for metrics with different nonlinearity in a mesoscale convective system, Monthly Weather Review,142,2379-2397.MengZhiyong_2014MWR_TargetOB.pdf


J24. Meng*, Z., D. Yan, and Y. Zhang, 2013: General features of squall lines in East China. Monthly Weather Review,141,1629-1647.MengZhiyong_2013MWR_SquallSurvey.pdf

J23. Wu, D., Z. Meng* and D. Yan, 2013: The predictability of a squall line in South China on 23 April 2007. Advances in Atmospheric Sciences,30,485-502.MengZhiyong_2013AAS_Squall_predictability.pdf

J22. Li, Y., C. Zhang, J. Zhong and Z. Meng, 2013: Case study on observation sensitive region of heavy rainfall in Beijing area. Climatic and Environmental Research,18(5):651-661 (in Chinese with English Abstract)

J21. Wu, D. and Z. Meng*, 2013: On the movement and mesoscale surface structure of a squall line on 23 April 2007 in Guangdong. Acta Scientiarum Naturalium Universitatis Pekinensis (in Chinese with English Abstract), 49, 463-470.MengZhiyong_2013PKU_Squall.pdf

C1. Z. Meng*,D. Wu,2013: Mesoscale Analyses on A Severe Squall Line in South China on 24 April 2007. In: R. Zhang, X. Zhou, Y. Ni (editors),South China Heavy Rainfall Experiment (SCHeREX), China Meteorological Press,, 217-229.


J20. Meng*, Z., F. Zhang, P. Markowski, D. Wu and K, Zhao, 2012: A Modeling Study on the Development of a Bowing Structure and Associated Rear Inflow within a Squall Line over South China . Journal of the Atmospheric Sciences, 69, 1182-1207.MengZhiyong_2012JAS_BowEcho.pdf

J19. Meng*, Z. and Y. Zhang,2012: On the Squall Lines Preceding Landfalling Tropical Cyclones in China. Monthly Weather Review, 140,445-470.


J18. Meng, Z. and F. Zhang*,2011: Limited-area Ensemble-based data assimilation. Monthly Weather Review, 139, 2025-2045.MengZhiyong_2011MWR_Meso_EnKF_Review.pdf


J17. Gao, S., Z. Meng*, F. Zhang and L. F. Bosart,2009: Observational Analysis of Heavy Rainfall Mechanisms Associated with Severe Tropical Storm Bilis (2006) after Its Landfall. Monthly Weather Review, 137,1881-1897.


J16. Gao, S.,Z. Meng* and G. Yang,2009: A study on the predictability of the recurvature of typhoon Matsa in Bohai, Meteorological Monthly (in Chinese with English Abstract), 35(2),8-14.MengZhiyong_2009_TCpredictability.pdf

J15. Zhang*, F., Y. Weng, Z. Meng, J. A. Sippel and C. H. Bishop, 2009: Cloud-resolving Hurricane Initialization and Prediction through Assimilation of Doppler Radar Observations with an Ensemble Kalman Filter: Humberto (2007). Monthly Weather Review,137,2105-2125.MengZhiyong_2009MWR_Humberto.pdf


J14. Meng, Z. and F. Zhang*, 2008: Test of an ensemble-Kalman filter for mesoscale and regional-scale data assimilation. Part IV: Comparison with 3DVar in a month-long experiment. Monthly Weather Review>,136,3671-3682.MengZhiyong_2008MWR_EnKF_Month.pdf

J13. Meng, Z. and F. Zhang*, 2008: Test of an ensemble-Kalman filter for mesoscale and regional-scale data assimilation. Part III: Comparison with 3DVar for a real-data case study. Monthly Weather Review,136,522-540.



J12. Meng, Z. and F. Zhang*, 2007: Test of an ensemble-Kalman filter for mesoscale and regional-scale data assimilation. Part II: Imperfect-model experiments. Monthly Weather Review,135, 1403-1423.


J11. Hawbliztel, D., F. Zhang*, Z. Meng and C. A. Davis, 2007: Probabilistic evaluation of the dynamics and predictability of mesoscale convective vortex event of 10-13 June 2003. Monthly Weather Review, 135, 1544-1563.



J10. Zhang*, F., Z. Meng and A. aksoy, 2006: Test of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: perfect model experiments. Monthly Weather Review, 134, 722-736.



J9. Zhang S., X. Xu, Q. Wu and Z. Meng, 2004: Research on atmospheric profile observations of "CLATEX" in four-dimensional data assimilation, Journal of Applied Meteorological Sciences(in Chinese), Vol.15,suppl.,p101-109.



J8. Xu Xiangde, Weng Yonghui, Z. Meng and Zhou Mingyu, 2002: A study on the mesoscale convection in a torrential rain event in Wuhan-Huangshi in July 1998, Chinese J. Atmos, Sci.(in Chinese) , Vol.26,No.6,p845-856.


J7. Meng, Z., Xu Xiangde and Chen Lianshou, 2002: Meso-scale characteristics of the interaction between TC Tim (9406) and mid-latitude circulation, Acta Meteorologica Sinica(in Chinese), Vol.60, No.1,31-39.


J6. Meng, Z., Chen Lianshou and Xu Xiangde, 2002: Recent progress on tropical cyclone research in China, Advances in Atmospheric Sciences, Vol.19, No.1,103-110.MengZhiyong_2002_TCreview2.pdf

J5. Meng, Z., Xu Xiangde and Chen Lianshou, 2002: TBB-nudging four dimensional data assimilation method and simulation experiment on "7.20" heavy rain process in Wuhan in 1998, Chinese J. Atmos, Sci.(in Chinese), Vol.26, No.5, 663-676.


J4. Meng, Z., Xu Xiangde and Chen Lianshou, 2001: A kind of tangential wind profile for strong tropical cyclone and its contribution to abnormal tropical cyclone track simulation, Chinese J. Atmos, Sci. (in Chinese),Vol.25, No.2,193-199.MengZhiyong_2001_TCbogus.pdf

J3. Chen Lianshou and Z. Meng, 2001: An overview on tropical cyclone research progress in China during the past ten years, Chinese J. Atmos. Sci.(in Chinese) , Vol.25, No.3, 420-432.MengZhiyong_2001_TCreview1.pdf


J2. Meng, Z., Xu Xiangde and Chen Lianshou, 1998: Mechanism of the impact of induced cyclone system around Taiwan island topography on tropical cyclone unusual motion, Chinese J. Atmos, Sci.(in Chinese), Vol. 22, No.1,79-92.MengZhiyong_1998_Taiwan.pdf


J1. Meng, Z., Nagata Masashi and Chen Lianshou, 1996: A numerical study on the formation and development of island-induced cyclone and its impact on typhoon structure change and motion, Acta Meteorologica Sinica (in English), Vol. 10, No.4, 430-443.MengZhiyong_1996_TC.pdf




 Severe Weather Analysis and Numerical Simulation    


Jinyi Wen: joined in 2019, Ph.D candidate, works on tornadoes in landfall tropical cyclone

Peiyu Wang: joined in 2020, Ph.D candidate, works on MCS with parallel rainband organization

Yawen Yang: joined in 2020, Ph.D candidate, works on CNOP and predictability

Xuelei Wang:  joined in 2021, Ph.D candidate, works on boundary along the border between desert and oasis 

Quxin Cui:  joined in 2021, Ph.D candidate, works on evolution of convection inititated by the boundary along the border between desert and oasis 

Luyi Chen:  joined in 2021, Ph.D candidate, works on supercell and tornado 

Zimeng Zheng: joined in 2021, Undergraduate, works on convection initiation over complex terrain

Ruiting Xu: joined in 2023, Ph.D candidate, works supercell and tornado 

Group photoes