A Heavy Rainfall Event in Autumn over Beijing-Atmospheric Circulation Background and Hindcast Simulation Using WRF

被引:7
|
作者
Li, Xiangrui [1 ,2 ]
Fan, Ke [1 ,2 ,3 ]
Yu, Entao [1 ,3 ,4 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China
[4] Chengdu Univ Informat Technol, Joint Lab Climate & Environm Change, Chengdu 610225, Sichuan, Peoples R China
关键词
heavy rainfall; WRF model; water vapor supply; autumn; Beijing area; EXTREME RAINFALL; JULY; 2012; SNOW; PARAMETERIZATION; FORECASTS; IMPACT; CHINA;
D O I
10.1007/s13351-018-7168-9
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Heavy rainfall events often occur in Beijing during summer but rarely in autumn. However, during 3-5 September 2015, an exceptionally heavy rainfall event occurred in Beijing. Based on the reanalysis data and the Weather Research and Forecasting (WRF) model simulations, the main contributing factors and the predictability of this heavy rainfall event were examined through comprehensive analyses of vorticity advection and water vapor transport/ budget. The results indicate that a "high-in-the-east-low-in-the-west" pattern of 500-hPa geopotential height over the Beijing area played an important role. The 850-hPa low-level jet (LLJ) provided a mechanism for rising motion and transported abundant water vapor into the Beijing area. Two-way nested hindcast experiments using WRF well reproduced the atmospheric circulation and LLJ. Quantitative analysis indicates that the WRF model with the rapid update cycle (RUC) land surface scheme and the single-moment 6-class (WSM6) microphysics scheme exhibited the best skill, and the model performance improved with a higher resolution. Further analysis indicates that the bias in the precipitation forecast was caused by the bias in water vapor transport.
引用
收藏
页码:503 / 515
页数:13
相关论文
共 50 条
  • [21] Practical Predictability of the 17 December 2014 Heavy Rainfall Event over East Coast of Peninsular Malaysia using WRF Model
    Ibadullah, Wan Maisarah Wan
    Tangang, Fredolin
    Juneng, Liew
    Jamaluddin, Ahmad Fairudz
    SAINS MALAYSIANA, 2019, 48 (11): : 2297 - 2306
  • [22] Evaluation of WRF Microphysics and Cumulus Parameterization Schemes in simulating a heavy rainfall event over Yangtze River Delta
    Kan, Yu
    Liu, Chaoshun
    Liu, Yanan
    Zhou, Cong
    REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY XII, 2015, 9610
  • [23] An event synchronization method to link heavy rainfall events and large-scale atmospheric circulation features
    Conticello, Federico
    Cioffi, Francesco
    Merz, Bruno
    Lall, Upmanu
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (03) : 1421 - 1437
  • [24] An Evaluation of the Extreme Rainfall Event of 2010 over the Kabul River Basin using the WRF Model
    Rafi, F.
    Dars, G. H.
    Strong, C.
    Ansari, K.
    Ali, S. H.
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2022, 12 (01) : 8017 - 8022
  • [25] Simulation of heavy rainfall events over Indian monsoon region using WRF-3DVAR data assimilation system
    Routray, A.
    Mohanty, U. C.
    Niyogi, Dev
    Rizvi, S. R. H.
    Osuri, Krishna K.
    METEOROLOGY AND ATMOSPHERIC PHYSICS, 2010, 106 (1-2) : 107 - 125
  • [26] Simulation of heavy rainfall events over Indian monsoon region using WRF-3DVAR data assimilation system
    A. Routray
    U. C. Mohanty
    Dev Niyogi
    S. R. H. Rizvi
    Krishna K. Osuri
    Meteorology and Atmospheric Physics, 2010, 106 : 107 - 125
  • [27] Sensitivity of cloud microphysics on the simulation of heavy rainfall in WRF- a case study for the 7-10 August 2019 event over Kerala, India
    Gorja, Mohan Murali Krishna
    Challa, Venkata Srinivas
    Viswanadhapalli, Yesubabu
    Vissa, Naresh Krishna
    Balasubramanian, Venkatraman
    ATMOSPHERIC RESEARCH, 2023, 288
  • [28] Heavy Convective Rainfall Forecast Over Paraguay Using Coupled WRF-Cloud Model
    Spiridonov, V.
    Baez, J.
    Telenta, B.
    PERSPECTIVES ON ATMOSPHERIC SCIENCES, 2017, : 183 - 189
  • [29] A Numerical Simulation Study of a Heavy Rainfall Event over Daegwallyeong on 31 July 2014
    Choi, Seung-Bo
    Lee, Jae Gyoo
    ATMOSPHERE-KOREA, 2016, 26 (01): : 159 - 183
  • [30] Impact of variational assimilation technique on simulation of a heavy rainfall event over Pune, India
    V. Yesubabu
    Sahidul Islam
    D. R. Sikka
    Akshara Kaginalkar
    Sagar Kashid
    A. K. Srivastava
    Natural Hazards, 2014, 71 : 639 - 658