Rapid Intensification and Relative Sea-Level Rise Amplifying Compound Flooding from Hurricanes Harvey to Beryl

This repository contains the input files, domain configurations, and model results for six hydrologically distinct coastal zones along the Texas Gulf Coast. The simulations were performed using the Super-Fast INundation of CoastS (SFINCS) model to assess the role of rapid intensification (RI) and relative sea-level rise (RSLR) on compound flooding as presented in: https://github.com/wonhyun2/Tex_CF?tab=readme-ov-file This study investigates compound flooding mechanisms by comparing two hurricane events: Hurricane Harvey (2017): Slow-moving storm, extreme rainfall and river discharge. Hurricane Beryl (2024): Rapidly intensifying storm, surge-dominated flooding. We use SFINCS to simulate fluvial, pluvial, and surge-driven inundation for: All individual flood drivers a) tide-only b) tide+wind (Surge only) c) tide+wind+river d) tide+wind+rain Compound scenarios (all-driver) Climate-adjusted RSLR scenario for Harvey Please check out the description of input files: https://sfincs.readthedocs.io/en/latest/parameters.html#input-files Each Domain_Zone/ folder includes: sfincs.inp: Model configuration file input/: Hydrodynamic boundary, rainfall, river discharge, wind files, etc.. please check with each directory and files. output/: Simulation results for flood depth, extent, and time series. map/his files are not including in these folders Beryl2024_flood imagery_by_PNNL --> l) ESRI. RIFT20240706_12z_imagery and RIFT20240707_12z_imagery [Imagery service]. ArcGIS Online. Retrieved August 25, 2024, from https://tiledimageservices3.arcgis.com/e4yvn2EWNoRHjbmZ/arcgis/rest/services/RIFT20240706_12z_imagery/ImageServer; not retained in archive (ArcGIS Online), but now archived in Zenodo: https://doi.org/10.5281/zenodo.16035670