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Moist Potential Vorticity Vector for Diagnosis of Heavy Rainfall Events in Tanzania

机译:诊断坦桑尼亚暴雨事件的湿势涡度向量

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摘要

In this paper, we modify the convective vorticity vector ( CVV ) defined as a cross product of absolute vorticity and gradient of equivalent potential temperature to moist potential vorticity vector (MPVV) defined as a cross product of absolute vorticity (ζa ) and the gradient of the moist-air entropy potential temperature (θs ). The patterns of (MPVV ) are compared with the patterns of heavy rainfall events that occurred over different regions in Tanzania on 20th to 22nd December, 2011 and on 5th to 8th May, 2015. Moreover, the article aimed at assessing the relative contribu- tions of the magnitude, horizontal and vertical components of (MPVV ) detecting on the observed patterns of rainfall events. Dynamic and thermodynamic variables: wind speed, temperature, atmospheric pressure and relative humidity from numeri- cal output generated by the Weather Research and Forecasting (WRF) model run- ning at Tanzania Meteorological Agency (TMA) were used to compute MPVV. It is found that MPVV provide accurate tracking of locations received heavy rainfall, suggesting its potential use as a dynamic tracer for heavy rainfall events in Tanzania. Finally it is found that the first and second components of MPVV contribute al- most equally in tracing locations received heavy rainfall events. The magnitude ofMPVV described the locations received heavy rainfall events better than the com- ponents.
机译:在本文中,我们将对流涡度矢量(CVV)定义为绝对涡度和等效电势温度梯度的叉积,将湿势涡度矢量(MPVV)定义为绝对涡度(ζa)与梯度的乘积。湿空气熵势温度(θs)。将(MPVV)的模式与2011年12月20日至22日以及2015年5月5日至8日在坦桑尼亚不同地区发生的强降雨事件的模式进行了比较。此外,本文旨在评估相对贡献(MPVV)的大小,水平和垂直分量对观测到的降雨事件模式的影响。动态和热力学变量:坦桑尼亚气象局(TMA)运行的天气研究和预报(WRF)模型产生的数值输出产生的风速,温度,大气压力和相对湿度被用于计算MPVV。结果发现,MPVV可以准确跟踪暴雨发生的地点,这表明它有可能用作坦桑尼亚暴雨事件的动态示踪剂。最终发现,MPVV的第一和第二部分在追踪暴雨事件发生的地点的贡献几乎相等。 MPVV的大小描述了遭受强降雨事件发生的地点要好于组件。

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