Advanced Search
Impact Factor: 5.8

Volume 27 Issue 5

Sep.  2010

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2010 >  27(5): 967-976

An Overview of Research and Forecasting on Rainfall Associated with Landfalling Tropical Cyclones

  • 1.

    State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081,State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081,Guangzhou Central Meteorological Observatory, Guangzhou 510080


doi: 10.1007/s00376-010-8171-y

  • The ability to forecast heavy rainfall associated with landfalling tropical cyclones (LTCs) can be improved with a better understanding of the mechanism of rainfall rates and distributions of LTCs. Research in the area of LTCs has shown that associated heavy rainfall is related closely to mechanisms such as moisture transport, extratropical transition (ET), interaction with monsoon surge, land surface processes or topographic effects, mesoscale convective system activities within the LTC, and boundary layer energy transfer etc.. LTCs interacting with environmental weather systems, especially the westerly trough and mei-yu front, could change the rainfall rate and distribution associated with these mid-latitude weather systems. Recently improved technologies have contributed to advancements within the areas of quantitative precipitation estimation (QPE) and quantitative precipitation forecasting (QPF). More specifically, progress has been due primarily to remote sensing observations and mesoscale numerical models which incorporate advanced assimilation techniques. Such progress may provide the tools necessary to improve rainfall forecasting techniques associated with LTCs in the future.
  • [1] Dajun ZHAO, Yubin YU, Lianshou CHEN, 2021: Impact of the Monsoonal Surge on Extreme Rainfall of Landfalling Tropical Cyclones, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 771-784.  doi: 10.1007/s00376-021-0281-1
    [2] Angkool WANGWONGCHAI, ZHAO Sixiong, ZENG Qingcun, 2005: A Case Study on a Strong Tropical Disturbance and Record Heavy Rainfall in Hat Yai, Thailand during the Winter Monsoon, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 436-450.  doi: 10.1007/BF02918757
    [3] ZHOU Lingli, DU Huiliang, ZHAI Guoqing, WANG Donghai, 2013: Numerical Simulation of the Sudden Rainstorm Associated with the Remnants of Typhoon Meranti (2010), ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1353-1372.  doi: 10.1007/s00376-012-2127-3
    [4] Iman ROUSTA, Mehdi DOOSTKAMIAN, Esmaeil HAGHIGHI, Hamid Reza GHAFARIAN MALAMIRI, Parvane YARAHMADI, 2017: Analysis of Spatial Autocorrelation Patterns of Heavy and Super-Heavy Rainfall in Iran, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1069-1081.  doi: 10.1007/s00376-017-6227-y
    [5] Xiuzhen LI, Wen ZHOU, Yongqin David CHEN, 2016: Detecting the Origins of Moisture over Southeast China: Seasonal Variation and Heavy Rainfall, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 319-329.  doi: 10.1007/s00376-015-4197-5
    [6] Chang-Kyun PARK, Minhee CHANG, Chang-Hoi HO, Kyung-Ja HA, Jinwon KIM, Byung-Ju SOHN, 2021: Two Types of Diurnal Variations in Heavy Rainfall during July over Korea, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 2201-2211.  doi: 10.1007/s00376-021-1178-8
    [7] WANG Shuzhou, YU Entao, WANG Huijun, 2012: A Simulation Study of a Heavy Rainfall Process over the Yangtze River Valley Using the Two-Way Nesting Approach, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 731-743.  doi: 10.1007/s00376-012-1176-y
    [8] Huizhen YU, Zhiyong MENG, 2022: The Impact of Moist Physics on the Sensitive Area Identification for Heavy Rainfall Associated Weather Systems, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 684-696.  doi: 10.1007/s00376-021-0278-9
    [9] WU Liji, HUANG Ronghui, HE Haiyan, SHAO Yaping, WEN Zhiping, 2010: Synoptic Characteristics of Heavy Rainfall Events in Pre-monsoon Season in South China, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 315-327.  doi: 10.1007/s00376-009-8219-z
    [10] HOU Tuanjie, Fanyou KONG, CHEN Xunlai, LEI Hengchi, HU Zhaoxia, 2015: Evaluation of Radar and Automatic Weather Station Data Assimilation for a Heavy Rainfall Event in Southern China, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 967-978.  doi: 10.1007/s00376-014-4155-7
    [11] Ui-Yong BYUN, Jinkyu HONG, Song-You HONG, Hyeyum Hailey SHIN, 2015: Numerical Simulations of Heavy Rainfall over Central Korea on 21 September 2010 Using the WRF Model, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 855-869.  doi: 10.1007/s00376-014-4075-6
    [12] Rudi XIA, Yali LUO, Da-Lin ZHANG, Mingxin LI, Xinghua BAO, Jisong SUN, 2021: On the Diurnal Cycle of Heavy Rainfall over the Sichuan Basin during 10–18 August 2020, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 2183-2200.  doi: 10.1007/s00376-021-1118-7
    [13] DONG Haiping, ZHAO Sixiong, ZENG Qingcun, 2007: A Study of Influencing Systems and Moisture Budget in a Heavy Rainfall in Low Latitude Plateau in China during Early Summer, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 485-502.  doi: 10.1007/s00376-007-0485-z
    [14] PAN Yang, YU Rucong, LI Jian, XU Youping, 2008: A Case Study on the Role of Water Vapor from Southwest China in Downstream Heavy Rainfall, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 563-576.  doi: 10.1007/s00376-008-0563-x
    [15] A.K.Kulkarmi, B.N.Mandal, R.S.Sangam, 1994: A Study of Heavy Rainfall of 8-10 June, 1991 over Maharashtra, India, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 353-366.  doi: 10.1007/BF02658155
    [16] Ji-Hyun HA, Hyung-Woo KIM, Dong-Kyou LEE, 2011: Observation and Numerical Simulations with Radar and Surface Data Assimilation for Heavy Rainfall over Central Korea, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 573-590.  doi: 10.1007/s00376-010-0035-y
    [17] Jeong-Gyun PARK, Dong-Kyou LEE, 2011: Evaluation of Heavy Rainfall Model Forecasts over the Korean Peninsula Using Different Physical Parameterization Schemes and Horizontal Resolution, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1233-1245.  doi: 10.1007/s00376-011-0058-z
    [18] Seung-Woo LEE, Dong-Kyou LEE, Dong-Eon CHANG, 2011: Impact of Horizontal Resolution and Cumulus Parameterization Scheme on the Simulation of Heavy Rainfall Events over the Korean Peninsula, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1-15.  doi: 10.1007/s00376-010-9217-x
    [19] Yonghan CHOI, Joowan KIM, Dong-Kyou LEE, 2012: Characteristics and Nonlinear Growth of the Singular Vector Related to a Heavy Rainfall Case over the Korean Peninsula, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 10-28.  doi: 10.1007/s00376-011-0194-5
    [20] Ji-Hyun HA, Dong-Kyou LEE, 2012: Effect of Length Scale Tuning of Background Error in WRF-3DVAR System on Assimilation of High-Resolution Surface Data for Heavy Rainfall Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1142-1158.  doi: 10.1007/s00376-012-1183-z
PDF

Get Citation+

shu
Export:  

Share Article

Article Metrics

Article Views: 1536 Times

PDF downloads: 1641 Times

Cited by: Times
  • 加载中

    • Manuscript History

    Manuscript received: 10 September 2010
    Manuscript revised: 10 September 2010
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    An Overview of Research and Forecasting on Rainfall Associated with Landfalling Tropical Cyclones

    • 1. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081,State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081,Guangzhou Central Meteorological Observatory, Guangzhou 510080
    • Manuscript received: 2010-09-10
    • Manuscript revised: 2010-09-10

    Abstract: The ability to forecast heavy rainfall associated with landfalling tropical cyclones (LTCs) can be improved with a better understanding of the mechanism of rainfall rates and distributions of LTCs. Research in the area of LTCs has shown that associated heavy rainfall is related closely to mechanisms such as moisture transport, extratropical transition (ET), interaction with monsoon surge, land surface processes or topographic effects, mesoscale convective system activities within the LTC, and boundary layer energy transfer etc.. LTCs interacting with environmental weather systems, especially the westerly trough and mei-yu front, could change the rainfall rate and distribution associated with these mid-latitude weather systems. Recently improved technologies have contributed to advancements within the areas of quantitative precipitation estimation (QPE) and quantitative precipitation forecasting (QPF). More specifically, progress has been due primarily to remote sensing observations and mesoscale numerical models which incorporate advanced assimilation techniques. Such progress may provide the tools necessary to improve rainfall forecasting techniques associated with LTCs in the future.

      HTML

    Catalog

      Publish with AAS

      Contact us

      Links

      Copyright © 2018-2028 ADVANCES IN ATMOSPHERIC SCIENCES 京ICP备14024088号-7

      Supported by: Beijing Renhe Information Technology Co. Ltd  support: info@rhhz.net  

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return