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Convective Cloud Model for Analyzing of Heavy Rainfall of Weather Extreme at Semarang Indonesia

机译:关于Semarang Indonesia天气极端暴雨分析的对流云模型

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Rainfall in Tembalang Semarang 2–3 July 2016 causes flood. The accumulation of rainfall until 3 July 2016 is 182.5 mm, it exceeds BMKG’s threshold about intensity of extreme condition, that more than 50 mm/day. It is related to dynamic of weather’s parameter, especiallywith convection process and clouds. In this case, weather condition analysis uses Weather Research and Forecasting (WRF) Model one domain with 6 kilometer (km) resolution. Some weather’s parameters show significant result. Their fluctuations prove there is a strong convection that producesconvective cloud (Cumulonimbus) so that cloud has a long lifetime and produce rain. Default setting and without nesting on WRF Model show good output to represent weather’s condition commonly. Difference between output rainfall rate of observation result and output of model around 6–12hours is because spinning-up of processing. Satellite Images of MTSAT (Multifunctional Transport Satellite) are used as a verification data to prove the result of WRF. The cloud cover from data MTSAT IR 1 Kochi University that indicates there is cloud’s top for Kochi University. Thisimage consolidate that the output of WRF is good enough to analyze Semarang condition when the case happened.
机译:Tembalang Semarang的降雨2016年7月2日至3日导致洪水。降雨量的积累直到2016年7月3日为182.5毫米,超过BMKG关于极端条件强度的门槛,超过50毫米/天。它与天气的动态有关,尤其是对流过程和云。在这种情况下,天气状况分析使用天气研究和预测(WRF)模型一个域,一个域,分辨率为6公里(km)。一些天气的参数显示出显着的结果。他们的波动证明了生成云(Cumulonimbus)的强烈对流,使云具有较长的寿命并产生雨水。默认设置且不嵌套WRF模型显示出良好的输出,以表示天气的状态。观察结果输出降雨率与6-12小时左右的模型输出之间的差异是因为加工的旋转。 MTSAT(多功能运输卫星)的卫星图像用作验证数据,以证明WRF的结果。来自Data MTSAT IR 1 Kochi大学的云覆盖,表明了Kochi大学的云顶。此图像巩固了WRF的输出足以在发生这种情况时分析Semarang条件。

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