Application of machine learning-based postprocessing to improve crowd-sourced urban rainfall outlooks
The framework uses three different codes for data generation using (i) STORM V1 (Storm_run.py), converting rainfall to categorical data (ii) Data Generation.ipynb, and scenario generation model fitting (iii) Scenarios and Model fitting.ipynb
The data used in the codes are available in the "Data" folder.