Trained convolutional neural network for the identification of long-duration mixed precipitation in Montréal (Canada)

In this dataset the trained convolutional neural network is published that accompanies the paper "A deep learning approach for the identification of long-duration mixed precipitation in Montréal (Canada)" submitted to the special issue on "Machine-Learning Applications in the Atmospheric and Oceanic Sciences" by the journal Atmosphere&Ocean. The files were created using tensorflow in python. The trained network is available in .h5-format the history as numpy-file (npy).