UPSurgeML (v1.0) - A Machine Learning Workflow for Probabilistic Ensemble Forecast of Tropical Cyclone Storm Surge: Data and Code

This repository contains the data and code that was used to prepare the manuscript entitled "UPSurgeML (v1.0) - A Machine Learning Workflow for Probabilistic Ensemble Forecast of Tropical Cyclone Storm Surge", submitting to Geoscientific Model Development (GMD). It includes: UPSurgeML code Exact versions of SCHISM (schism @ 7fc47d1), PaHM (pahm @ 2043c99), and StormEvents (v2.3.7) used to generate three case studies for the manuscript. Input data 3 case studies: tracks, model outputs, training data, and analysis al102023 (Ike) al182012 (Sandy) al102023 (Idalia) CO-OPS observations scripts to generate plots for the manuscript