LESNet

Code from the paper "Next-Hour Lake-Effect Quantitative Precipitation Forecasts over the Great Lakes with Deep Learning." This dataset contains all the data for training, testing, and evaluation. e, m, o, and s are the datasets for each lake. Within them are exp (3 cases to demonstrate performance in images), train, val, and test. "A" at the end of a directory signifies the input, and "B" signifies the target. All the zarr stores are zipped individually. Link to the GitHub repository with the code for the paper.