Data and code associated with: Human-induced subsidence exceeds sea-level rise in driving future coastal flood exposure in China's Greater Bay Area

This repository is associated with the study "Human-induced subsidence exceeds sea-level rise in driving future coastal flood exposure in China's Greater Bay Area". It provides the datasets, custom scripts, and example model configuration files required to support the analyses and reproduce the results presented in the study. The repository includes: (1) geospatial raster datasets, including the vertical land motion (VLM) rate field derived from Sentinel-1 InSAR observations, the modeled coastal inundation depth map for the baseline year (2023), and the projected coastal inundation depth map for the future scenario (2050); (2) custom scripts used for atmospheric phase correction, relative contribution analysis of vertical land motion and sea-level rise, and figure generation; (3) example LISFLOOD-FP model configuration files, parameter files, and example input data used to illustrate the flood simulation workflow. The LISFLOOD-FP source code is not included and should be obtained from the official LISFLOOD-FP repository. The datasets and scripts can be used to reproduce the analyses presented in the manuscript and to support further research on relative sea-level rise, land subsidence, coastal flood hazard assessment, and adaptation planning in deltaic and low-lying coastal regions.