Efficient Probabilistic Prediction and Uncertainty Quantification of Hurricane Surge and Inundation: Model Data and Analysis Code

This repository contains model data and analysis codes related to the manuscript entitled "Efficient Probabilistic Prediction and Uncertainty Quantification of Hurricane Surge and Inundation", as follows: Model data are maximum storm tide elevations of ensemble 48-hr forecast ADCIRC model simulations for three historical US landfalling hurricanes: 2017 Irma, 2018 Florence, and 2020 Laura. These are located in the "NameYYYY_Results.tar" archive files as "maxele.63.nc" files. Also included in the tar files are the hurricane forecast track files in Automated Tropical Cyclone Forecasting (ATCF) system format (*.22) and the error variable parameters (*.json) for each forecast. ADCIRC input mesh (*.14) and mesh property files (*.13) are included in "ADCIRC_mesh_files.zip". Joint Karhunen-Loeve Polynomial Chaos (KL-PC) analysis python scripts with and without considering inundation are located in "klpc_analysis_scripts.zip". Requires EnsemblePerturbation python toolbox. Python scripts for analyzing and plotting the KL-PC results (Figures 6-13 in the manuscript) are located in "results_plotting_scripts.zip". Requires EnsemblePerturbation python toolbox.