Tropical cyclone formation binary dataset

This binary dataset contains a specific customization of the National Center for Environmental Prediction (NCEP)/final analysis (FNL) data for ML applications, in which environmental conditions relevant for tropical cyclone (TC) formation during 1999-2023 are extracted for a range of forecast lead times (0-72 hours). The dataset is designed as multi-channel images centered on TC formation locations, with a positive and negative directory structure that can be readily input from any ML applications or common data interface. With its unique structure, this dataset provides users an opportunity to conduct ML application research on TC formation as well as related predictability at different forecast lead times.

本二进制数据集针对机器学习（ML）应用场景，对美国国家环境预报中心（National Center for Environmental Prediction, NCEP）/最终分析数据（final analysis, FNL）进行了专属定制。从中提取了1999年至2023年间与热带气旋（TC）生成相关的环境条件，覆盖0至72小时的多组预报提前时长。本数据集以热带气旋生成点位为中心构建多通道图像，采用正负样本目录结构，可便捷接入任意机器学习应用或通用数据接口。凭借其独特的结构设计，本数据集可为研究者开展热带气旋生成相关的机器学习应用研究，以及不同预报提前时长下的相关可预报性研究提供支持。