Forecasting of Extreme Weather Intensity Based on Grey Model

Yong-hong Zhou, Xinyue Wang, Daozhong Zhang
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Abstract

In this paper, we propose a prediction method for extreme weather events. In order to evaluate and forecast the intensity of extreme weather events, we first quantify the intensity of extreme weather, using the T-Year weather events concept from a mathematical point of view. On this basis, the grey model, which has an excellent performance in short-term prediction, is then used to predict the occurrence rate of extreme weather events with specific intensities. The effectiveness of the proposed method is verified through an illustrative example using hail weather data in the United States.
基于灰色模型的极端天气强度预测
本文提出了一种极端天气事件的预测方法。为了评估和预测极端天气事件的强度,我们首先从数学的角度使用t年天气事件的概念来量化极端天气的强度。在此基础上,利用短期预测性能优异的灰色模型对特定强度的极端天气事件的发生率进行预测。通过美国冰雹天气数据的实例验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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