中国物理B ›› 2008, Vol. 17 ›› Issue (6): 2304-2310.doi: 10.1088/1674-1056/17/6/062

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A phase analysis of vorticity vectors associated with tropical convection

崔晓鹏   

  1. Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • 收稿日期:2007-06-20 修回日期:2008-01-29 出版日期:2008-06-20 发布日期:2008-06-20
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant Nos 40433007 and 40505012), the Knowledge Innovation Program of the Chinese Academy of Sciences (IAP07214) and ``Outstanding Oversea Scholars'' project (Grant No 2005-2-17).

A phase analysis of vorticity vectors associated with tropical convection

Cui Xiao-Peng(崔晓鹏)†   

  1. Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • Received:2007-06-20 Revised:2008-01-29 Online:2008-06-20 Published:2008-06-20
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos 40433007 and 40505012), the Knowledge Innovation Program of the Chinese Academy of Sciences (IAP07214) and ``Outstanding Oversea Scholars'' project (Grant No 2005-2-17).

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摘要： Three new vorticity vectors have been proposed by Gao {\em et al} to study the two-dimensional tropical convection. In the present paper, phase relations between surface rain rate and the vorticity vectors are analysed with the calculations of lag correlation coefficients based on hourly zonally-averaged mass-integrated cloud-resolving simulation data. The cloud-resolving model is integrated with the vertical velocity, zonal wind, horizontal thermal and moisture advections, and sea surface temperature observed and derived from tropical ocean global atmosphere -- coupled ocean atmosphere response experiment (TOGA-COARE) for 10 days. Maximum local increase of the vertical component of the convective vorticity vector leads maximum surface rain rate by 2 hours mainly due to the interaction between vorticity and zonal gradient of ice heating. While maximum local increase of the vertical component of the moist vorticity vector leads maximum surface rain rate by 2 hours mainly because of the interaction between zonal specific humidity gradient and zonal buoyancy gradient. And the maximum local decrease of the zonal component of the dynamic vorticity vector leads maximum surface rain rate by 2 hours mainly due to the interactions between vorticity and vertical pressure gradient as well as vorticity and buoyancy.

关键词: phase analysis, vorticity vectors, tropical convection, cloud-resolving model

Abstract: Three new vorticity vectors have been proposed by Gao et al to study the two-dimensional tropical convection. In the present paper, phase relations between surface rain rate and the vorticity vectors are analysed with the calculations of lag correlation coefficients based on hourly zonally-averaged mass-integrated cloud-resolving simulation data. The cloud-resolving model is integrated with the vertical velocity, zonal wind, horizontal thermal and moisture advections, and sea surface temperature observed and derived from tropical ocean global atmosphere -- coupled ocean atmosphere response experiment (TOGA-COARE) for 10 days. Maximum local increase of the vertical component of the convective vorticity vector leads maximum surface rain rate by 2 hours mainly due to the interaction between vorticity and zonal gradient of ice heating. While maximum local increase of the vertical component of the moist vorticity vector leads maximum surface rain rate by 2 hours mainly because of the interaction between zonal specific humidity gradient and zonal buoyancy gradient. And the maximum local decrease of the zonal component of the dynamic vorticity vector leads maximum surface rain rate by 2 hours mainly due to the interactions between vorticity and vertical pressure gradient as well as vorticity and buoyancy.

Key words: phase analysis, vorticity vectors, tropical convection, cloud-resolving model

中图分类号:  (Convection, turbulence, and diffusion)

  • 92.60.hk
92.05.Hj (Physical and chemical properties of seawater) 92.60.Cc (Ocean/atmosphere interactions, air/sea constituent fluxes) 92.60.Gn (Winds and their effects) 92.60.Jq (Water in the atmosphere) 92.60.hv (Pressure, density, and temperature)