摘要
A cloud-resolving model simulation of a mesoscale convective system （MCS） producing torrential rainfall is performed with the finest horizontal resolution of 444 m. It is shown that the model reproduces the observed MCS, including its rainfall distribution and amounts, as well as the timing and location of leading rainbands and trailing stratiform clouds. Results show that discrete convective hot towers, shown in Vis5D at a scale of 2-5 kin, are triggered by evaporatively driven cold outflows converging with the high-θe air ahead. Then, they move rearward, with respect to the leading rainbands, to form stratiform clouds. These convective towers generate vortical tubes of opposite signs, with more intense cyclonic vorticity occurring in the leading convergence zone. The results appear to have important implications for the improvement of summertime quantitative precipitation forecasts and the understanding of vortical hot towers, as well midlevel mesoscale convective vortices.
A cloud-resolving model simulation of a mesoscale convective system (MCS) producing torrential rainfall is performed with the finest horizontal resolution of 444 m.It is shown that the model reproduces the ob-served MCS,including its rainfall distribution and amounts,as well as the timing and location of leading rainbands and trailing stratiform clouds.Results show that discrete convective hot towers,shown in Vis5D at a scale of 2 5 km,are triggered by evaporatively driven cold outflows converging with the high-θ e air ahead.Then,they move rearward,with respect to the leading rainbands,to form stratiform clouds.These convective towers gener-ate vortical tubes of opposite signs,with more intense cyclonic vorticity occurring in the leading convergence zone.The results appear to have important implications for the improvement of summertime quantitative precipi-tation forecasts and the understanding of vortical hot tow-ers,as well midlevel mesoscale convective vortices.
基金
supported by Jiangsu Education Science Foundation (Grant No.07KJB170065)
Chinese National Science Foundation (Grant No.40775060)
U.S.National Science Foundation (Grant No.ATM0758609)
