Dataset for rainfall-flooding prediction

This repository contains the data used to develop the hybrid hydrodynamic-machine learning models for rainfall-flooding prediction described in the manuscript "Hybrid Hydrodynamic-Machine Learning Modelling for Rapid Flood Scenario Assessment: a Case Study in Aotearoa New Zealand" submitted to the Journal of Geophysical Research – Machine Learning and Computation. The data consists of: The dataset used to train, test and validate the machine learning models: dataframes.zip The additional data used to generate the figures: Data.zip