Data archive for "Seamless lightning nowcasting with recurrent-convolutional deep learning"

This dataset contains the machine learning training data files, pretrained model weights and precomputed results for the paper "Seamless lightning nowcasting with recurrent-convolutional deep learning" published in:<br> Leinonen, J., Hamann, U., &amp; Germann, U. (2022). Seamless Lightning Nowcasting with Recurrent-Convolutional Deep Learning, <em>Artificial Intelligence for the Earth Systems</em>, <em>1</em>(4), e220043, doi:10.1175/AIES-D-22-0043.1.<br> A preprint of the paper can be found at https://arxiv.org/abs/2203.10114. The ML code can be found at https://github.com/MeteoSwiss/c4dl-lightningdl. Download all the files here and extract the contents to the following subdirectories in the ML code directory: Training data (c4dl-patches-*.zip) -&gt; data/2020/ Results (c4dl-results-lightningdl.zip) -&gt; results/ Pretrained models (c4dl-models-lightningdl.zip) -&gt; models/ Additionally, the file c4dl-randomexamples-lightningdl.zip contains the randomly selected examples complementing Figs. 7–9 of the paper, and the file c4dl-inputsamples-lightningdl.zip contains figures showing samples of all the input variables for the three cases shown in Figs. 7–9.