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Simulation and visualization of the cyclonic storm chapala over the arabian sea: a case study

机译:阿拉伯海气旋风暴恰帕拉的模拟和可视化:一个案例研究

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We use the high resolution Weather Research and Forecasting (WRF) model to predict the characteristics of an intense cyclone, Chapala, which formed over the Arabian Sea in October/November 2015. The implemented model consists of two-way interactive nested domains of 9 and 3km. The prediction experiment of the cyclone started on 1200UTC of 26 October 2015 to forecast its landfall and its intensity based on NCEP global model forecasting fields. The results show that the movement of Chapala is well reproduced by our model up to 72 hours, after which track errors become significant. The intensity and cloud features of the extreme event as well as the distribution of hydrometeors is well represented by the model. All the characteristics including eye and eye-wall regions, mesoscale convective systems and distribution of different hydrometers during the lifetime of Chapala are very well simulated. The model output results in several hundred gigabytes of data, we analyze and visualize these data using state of the art computational and visualization software for representing different characteristics of Chapala and to verify the accuracy of the model. We further demonstrate the usefulness of a 3D virtual reality environment and its potential importance in decision-making system development.
机译:我们使用高分辨率天气研究与预报(WRF)模型来预测强旋风Chapala的特征,该旋风在2015年10月/ 11月形成于阿拉伯海上。实施的模型由9和9的双向交互式嵌套域组成3公里气旋的预测实验始于2015年10月26日的1200UTC,根据NCEP全球模型预报场对登陆和强度进行了预报。结果表明,我们的模型可以很好地再现Chapala的运动,直到72小时,此后跟踪误差变得很明显。该模型很好地表示了极端事件的强度和云特征以及水凝物的分布。很好地模拟了Chapala生命周期内的所有特征,包括眼和眼壁区域,中尺度对流系统以及不同比重计的分布。该模型输出的结果为数百GB的数据,我们使用最先进的计算和可视化软件对这些数据进行分析和可视化,以表示Chapala的不同特征并验证模型的准确性。我们进一步证明了3D虚拟现实环境的有用性及其在决策系统开发中的潜在重要性。

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