基于智能算法的局地降雨预报分析

2022 IEEE 2nd International Conference on Computer Systems (ICCS) Pub Date : 2022-09-23 DOI:10.1109/ICCS56273.2022.9987970

Sheng-bin Wu, Ying-di Yang, Qili Wu, Beibei Mao, Zhimin Liu, Hao Yu, Mei Long, Shao-Ting Ge

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引用次数: 0

摘要

本文讨论了印度洋海域模式，在季节内尺度上模拟了孟加拉湾的降雨过程和相关的海气相互作用过程，探讨了季节内降水的空间分布和时间变化规律，阐明了其相关的主要动力因子，并利用智能算法ConvLSTM为季节降水预测因子的选择提供了依据。

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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Analysis of Local Rainfall Prediction Based on Intelligent Algorithm

This paper discusses the model of Indian Ocean sea area, simulates the rainfall process and the related air sea interaction process in the bay of Bengal on the intraseasonal scale, explores the spatial distribution and temporal variation law of intraseasonal precipitation, and clarifies its related main dynamic factors, then uses the ConvLSTM which is the intelligent algorithm to provide a basis for the selection of seasonal precipitation prediction factors.

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2022 IEEE 2nd International Conference on Computer Systems (ICCS)

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