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

FIXED 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.

Related Organizations

Finnish Meteorological Institute
Finland

Keywords

machine learning, keras, bayesian optimization, reanalysis, lightning data

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