Advanced Search
Article Contents

Shearing Wind Helicity and Thermal Wind Helicity


doi: 10.1007/s00376-006-0504-5

  • Helicity is defined as H = V · !, where V and ! are the velocity and vorticity vectors, respectively. Many works have pointed out that the larger the helicity is, the longer the life cycle of the weather system is. However, the direct relationship of the helicity to the evolution of the weather system is not quite clear. In this paper, the concept of helicity is generalized as shearing wind helicity (SWH). Dynamically, it is found that the average SWH is directly related to the increase of the average cyclonic rotation of the weather system. Physically, it is also pointed out that the SWH, as a matter of fact, is the sum of the torsion terms and the divergence term in the vorticity equation. Thermal wind helicity (TWH), as a derivative of SWH, is also discussed here because it links the temperature field and the vertical wind field. These two quantities may be effective for diagnosing a weather system. This paper applies these two quantities in cylindrical coordinates to study the development of Hurricane Andrew to validate their practical use. Through analyzing the hurricane, it is found that TWH can well describe the characteristics of the hurricane such as the strong convection and release of latent heat. SWH is not only a good quantity for diagnosing the weather system, but also an effective one for diagnosing the development of the hurricane.
  • [1] XU Yamei, WU Rongsheng, 2003: The Conservation of Helicity in Hurricane Andrew (1992) and the Formation of the Spiral Rainband, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 940-950.  doi: 10.1007/BF02915517
    [2] Fei Shiqiang, Tan Zhemin, 2001: On the Helicity Dynamics of Severe Convective Storms, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 67-86.  doi: 10.1007/s00376-001-0005-5
    [3] Ding Jincai, Dai Jianhua, Chen Yamin, Hu Fuquan, Tang Xinzhang, 1996: Helicity as a Method for Forecasting Severe Weather Events, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 533-538.  doi: 10.1007/BF03342043
    [4] Qu Xiaobo, Julian Heming, 2002: The Impact of Dropsonde Data on Forecasts of Hurricane Debby by the Meteorological Office Unified Model, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 1029-1044.  doi: 10.1007/s00376-002-0062-4
    [5] Jianjun LIU, Feimin ZHANG, Zhaoxia PU, 2017: Numerical Simulation of the Rapid Intensification of Hurricane Katrina (2005): Sensitivity to Boundary Layer Parameterization Schemes, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 482-496.  doi: 10.1007/s00376-016-6209-5
    [6] Tan Zhemin, Wu Rongsheng, 1994: Helicity Dynamics of Atmospheric Flow, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 175-188.  doi: 10.1007/BF02666544
    [7] T. N. Krishnamurti, H. S. Bedi, K. S. Yap, D. Oosterhof, 1993: Hurricane Forecasts in the FSU Models, ADVANCES IN ATMOSPHERIC SCIENCES, 10, 121-132.  doi: 10.1007/BF02656960
    [8] Da-Lin ZHANG, Xiaoxue WANG, 2003: Dependence of Hurricane Intensity and Structures on Vertical Resolution and Time-Step Size, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 711-725.  doi: 10.1007/BF02915397
    [9] T.N.Krishnamurti, Sheng Jian, 1985: THE HEATING FIELD IN AN ASYMMETRIC HURRICANE PART II:RESULTS OF COMPUTATIONS, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 426-445.  doi: 10.1007/BF02678742
    [10] T.N.Krishnamurti, Sheng Jian, 1985: THE HEATING FIELD IN AN ASYMMETRIC HURRICANE -PART I:SCALE ANALYSIS, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 402-413.  doi: 10.1007/BF02677256
    [11] Tong ZHU, Da-Lin ZHANG, 2006: The Impact of the Storm-Induced SST Cooling on Hurricane Intensity, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 14-22.  doi: 10.1007/s00376-006-0002-9
    [12] Fu Baopu, 1987: VARIATION IN WIND VELOCITY OVER WATER, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 93-104.  doi: 10.1007/BF02656665
    [13] Zhao Ming, Xu Yinzi, Wu Rongsheng, 1989: The Wind Structure in Planetary Boundary Layer, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 365-376.  doi: 10.1007/BF02661542
    [14] MIAO Shiguang, LI Pingyang, WANG Xiaoyun, 2009: Building Morphological Characteristics and Their Effect on the Wind in Beijing, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 1115-1124.  doi: 10.1007/s00376-009-7223-7
    [15] SHUN Liu, QIU Chongjian, XU Qin, ZHANG Pengfei, GAO Jidong, SHAO Aimei, 2005: An Improved Method for Doppler Wind and Thermodynamic Retrievals, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 90-102.  doi: 10.1007/BF02930872
    [16] S.K. Sinha, S. Rajamani, 1995: Multivariate Objective Analysis of Wind and Height Fields in the Tropics, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 233-244.  doi: 10.1007/BF02656836
    [17] Xue Feng, Zeng Qingcun, 1999: Diagnostic Study on Seasonality and Interannual Variability of Wind Field, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 537-543.  doi: 10.1007/s00376-999-0029-9
    [18] Federico OTERO, Diego C. ARANEO, 2022: Forecasting Zonda Wind Occurrence with Vertical Sounding Data, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 161-177.  doi: 10.1007/s00376-021-1007-0
    [19] ZHENG Jing, Jun LI, Timothy J. SCHMIT, Jinlong LI, Zhiquan LIU, 2015: The Impact of AIRS Atmospheric Temperature and Moisture Profiles on Hurricane Forecasts: Ike (2008) and Irene (2011), ADVANCES IN ATMOSPHERIC SCIENCES, 32, 319-335.  doi: 10.1007/s00376-014-3162-z
    [20] Lei ZHU, Zhiyong MENG, Yonghui WENG, Fuqing ZHANG, 2022: Assimilation of All-sky Geostationary Satellite Infrared Radiances for Convection-Permitting Initialization and Prediction of Hurricane Joaquin (2015), ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1859-1872.  doi: 10.1007/s00376-022-2015-4

Get Citation+

Export:  

Share Article

Manuscript History

Manuscript received: 10 July 2006
Manuscript revised: 10 July 2006
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

Shearing Wind Helicity and Thermal Wind Helicity

  • 1. The Key Laboratory of Mesoscale Severe Weather, Nanjing University, Nanjing 210093,The Key Laboratory of Mesoscale Severe Weather, Nanjing University, Nanjing 210093,The Key Laboratory of Mesoscale Severe Weather, Nanjing University, Nanjing 210093

Abstract: Helicity is defined as H = V · !, where V and ! are the velocity and vorticity vectors, respectively. Many works have pointed out that the larger the helicity is, the longer the life cycle of the weather system is. However, the direct relationship of the helicity to the evolution of the weather system is not quite clear. In this paper, the concept of helicity is generalized as shearing wind helicity (SWH). Dynamically, it is found that the average SWH is directly related to the increase of the average cyclonic rotation of the weather system. Physically, it is also pointed out that the SWH, as a matter of fact, is the sum of the torsion terms and the divergence term in the vorticity equation. Thermal wind helicity (TWH), as a derivative of SWH, is also discussed here because it links the temperature field and the vertical wind field. These two quantities may be effective for diagnosing a weather system. This paper applies these two quantities in cylindrical coordinates to study the development of Hurricane Andrew to validate their practical use. Through analyzing the hurricane, it is found that TWH can well describe the characteristics of the hurricane such as the strong convection and release of latent heat. SWH is not only a good quantity for diagnosing the weather system, but also an effective one for diagnosing the development of the hurricane.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return