A Multiscale Analysis of a Nocturnal Extreme Rainfall Event of 14 July 2017 in Northeast China

被引:18
|
作者
Wang, Gaili [1 ]
Zhang, Da-Lin [1 ,2 ]
Sun, Jisong [1 ]
机构
[1] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
[2] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
基金
中国国家自然科学基金;
关键词
Convective storms/systems; Extreme events; Rainfall; Cloud microphysics; RAINDROP SIZE DISTRIBUTION; SOUTH CHINA; PRECIPITATION; INITIATION; ORGANIZATION; SENSITIVITY; SIMULATION; TRACKING; WEATHER; MODEL;
D O I
10.1175/MWR-D-20-0232.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A multiscale observational analysis of a nocturnal extreme rainfall event that occurred at Changtu in Northeast China on 14 July 2017 is performed using global analysis, automated surface observations, Doppler radar, rawinsonde, and disdrometer data. Results show that the large-scale environment was characterized by high convective available potential energy and precipitable water, moderate convective inhibition, and a southwesterly low-level jet (LLJ) capped by an inversion layer. The first and subsequent convective cells developed along a quasi-stationary surface convergence zone in a convection-void region of a previously dissipated meso-a-scale convective line. Continuous convective initiation through backbuilding at the western end and the subsequent merging of eastward-moving convective cells led to the formation of a near-zonally oriented meso-b-scale rainband, with reflectivity exceeding 45 dBZ (i.e., convective core intensity). This quasistationary rainband was maintained along the convergence zone by the LLJ of warm moist air, aided by local topographical lifting and convectively generated outflows. A maximum hourly rainfall amount of 96mm occurred during 0200-0300 Beijing standard time as individual convective cores with a melting layer of.55 dBZ reflectivity moved across Changtu with little intermittency. The extreme-rain-producing stage was characterized with near-saturated vertical columns, and rapid number concentration increases of all raindrop sizes. It is concluded that the formation of the meso-b-scale rainband with continuous convective backbuilding, and the subsequent echo-training of convective cores with growing intensity and width as well as significant fallouts of frozen particles accounted for the generation of this extreme rainfall event. This extreme event was enhanced by local topography and the formation of a mesovortex of 20-30 km in diameter.
引用
收藏
页码:173 / 187
页数:15
相关论文
共 50 条
  • [1] Landslides Triggered by the May 2017 Extreme Rainfall Event in the East Coast Northeast of Brazil
    Espinoza, Nikolai S.
    dos Santos, Carlos A. C.
    Silva, Madson T.
    Gomes, Helber B.
    Ferreira, Rosaria R.
    da Silva, Maria L.
    e Silva, Claudio M.
    de Oliveira, Cristiano P.
    Medeiros, Joao
    Giovannettone, Jason
    Amaro, Venerando E.
    Santos, Celso A. G.
    Mishra, Manoranjan
    ATMOSPHERE, 2021, 12 (10)
  • [2] Analysis of human vulnerability to the extreme rainfall event on 21-22 July 2012 in Beijing, China
    Liu, J.
    Wang, S-Y
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2013, 13 (11) : 2911 - 2926
  • [3] Multiscale Perspectives on an Extreme Warm-Sector Rainfall Event over Coastal South China
    Pu, Yiliang
    Hu, Sheng
    Luo, Yali
    Liu, Xiantong
    Hu, Lihua
    Ye, Langming
    Li, Huiqi
    Xia, Feng
    Gao, Lingyu
    REMOTE SENSING, 2022, 14 (13)
  • [4] Multiscale Complexity Analysis of Rainfall in Northeast Brazil
    Alves da Silva, Antonio Samuel
    de Carvalho Barreto, Ikaro Daniel
    Cunha-Filho, Moacyr
    Cezar Menezes, Romulo Simoes
    Stosic, Borko
    Stosic, Tatijana
    WATER, 2021, 13 (22)
  • [5] Orographic effect and multiscale interactions during an extreme rainfall event
    Baisya, Himadri
    Pattnaik, Sandeep
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2019, 1 (05):
  • [6] Multiscale interaction with topography and extreme rainfall events in the northeast Indian region
    Goswami, Bidyut Bikash
    Mukhopadhyay, P.
    Mahanta, R.
    Goswami, B. N.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2010, 115
  • [7] Predictability of an Extreme Rainfall Event in North China
    Ma, Jie
    Yin, Shan
    Jin, Lijun
    Jin, Ronghua
    SIGNAL AND INFORMATION PROCESSING, NETWORKING AND COMPUTERS (ICSINC), 2019, 550 : 542 - 550
  • [8] Contrasting Features of the July 2018 Heavy Rainfall Event and the 2017 Northern Kyushu Rainfall Event in Japan
    Tsuji, Hiroki
    Yokoyama, Chie
    Takayabu, Yukari N.
    JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2020, 98 (04) : 859 - 876
  • [9] Multiscale analysis of a record-breaking heavy rainfall event in Guangdong, China
    Li, Huiqi
    Wan, Qilin
    Peng, Dongdong
    Liu, Xiantong
    Xiao, Hui
    ATMOSPHERIC RESEARCH, 2020, 232
  • [10] Multiscale Evaluation of Extreme Rainfall Event Predictions Using Severity Diagrams
    Ceresetti, Davide
    Anquetin, Sandrine
    Molinie, Gilles
    Leblois, Etienne
    Creutin, Jean-Dominique
    WEATHER AND FORECASTING, 2012, 27 (01) : 174 - 188