基于地面云图的降雨预测

Geeta Ambilduke, Hemanth Raj Dugyala, Atluri Venkat Srikar Chowdary, Garimireddy Siva Prakash Reddy, Vudatha Sri Santosh Narayan
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引用次数: 0

摘要

云是预测降雨最重要的方法之一。天空中云的状态和类型对降雨预测也有重要影响。因此,不同的专家都热衷于关注云,这是气象学中最有趣和最重要的部分之一。本文的主要目标是利用暴雨形成云的图片来进行降水预报。使用云的图像作为输入,它试图预测预期的降雨量。根据海拔高度,将数据集中的云图分为三组:中、高、低海拔云图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rainfall Prediction using Ground Based Cloud Images
Clouds are one of the most important ways to predict rainfall. The state and types of clouds in the sky also have a significant impact on rainfall predictions. Accordingly, different specialists are keen on concentrating on clouds, one of the most interesting and significant parts of meteorology. The essential target of this paper is to utilize pictures of downpour creating clouds to make forecasts about precipitation. Using an image of clouds as input, it attempts to predict the anticipated rainfall. Based on their altitude, the cloud images in the dataset are divided into three groups: clouds at middle, high, and low elevations.
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