Data and code for training and evaluating machine learning models for thunderstorm prediction from reanalysis data

Data and Python code for training and evaluating machine learning models for predicting thunderstorms, associated with the paper:

"Evaluation of machine learning classifiers for predicting deep convection"

by Peter Ukkonen and Antti Mäkelä (to appear in JAMES)

The data (preprocessed inputs and outputs) is stored as netCDF files and .mat files which can be loaded with Python.

本数据集包含用于训练与评估雷暴预测机器学习模型的数据及Python代码，关联论文为《用于预测深对流的机器学习分类器评估》，作者为Peter Ukkonen与Antti Mäkelä，该论文即将刊载于JAMES期刊。预处理后的输入与输出数据以netCDF文件及.mat文件格式存储，可通过Python进行加载。