sevir

This repository contains the dataset from the paper titled "Precipitation Nowcasting Based on Convolutional LSTM with Spatio-Temporal Information Transformation Using Multi-Meteorological Factors." The SEVIR (Storm Event Imagery) dataset is a publicly available, open dataset released and maintained by the MIT Lincoln Laboratory (https://registry.opendata.aws/sevir/, with a total size of approximately 480 GB). We did not create or modify any data; our research directly utilizes the original dataset. We strongly recommend downloading from the official repository.本仓库包含来自题为《基于卷积长短期记忆网络（Convolutional LSTM）结合多气象因子时空信息变换的降水临近预报》的论文所使用的数据集。 SEVIR（风暴事件影像数据集，Storm Event Imagery）是由麻省理工学院林肯实验室（MIT Lincoln Laboratory）发布并维护的公开开源数据集，总容量约为480 GB，官方下载链接为https://registry.opendata.aws/sevir/。本研究未对该数据集进行任何创建或修改，直接采用其原始版本。我们强烈建议通过官方仓库获取该数据集。