CCART‑Floods: India Climate‑Conditioned Flood Hazard (2027–2100), v1.0

This dataset provides a climate‑conditioned flood hazard baseline for India to support adaptation planning, infrastructure design, and long‑term climate‑risk assessment. CCART‑Floods: India Climate‑Conditioned Flood Hazard (2027–2100) provides a high‑resolution, CHIRPS‑aligned flood hazard dataset for India under two CMIP6 climate scenarios (SSP370 and SSP585). The dataset integrates daily rainfall projections from ACCESS‑CM2 with a calibrated Flood Susceptibility Index (FSI) derived from the INDO‑FLOODS empirical domain, producing a climate‑conditioned hazard field that reflects both changing rainfall extremes and evolving landscape vulnerability. The core output consists of period‑maximum hazard layers for 2027–2100, representing the highest flood hazard intensity each pixel is expected to experience across the entire future window. These layers are computed from annual hazard rasters generated using a dynamic exceedance‑based method: Daily rainfall → 2‑day rolling accumulation Exceedance counts above the CHIRPS‑derived P95 threshold Scaling by scenario‑specific FSI uplift factors Strict preservation of the Indo‑Floods NaN mask Pixel‑wise maximum across all years (2027–2100) The resulting hazard fields provide a resilience‑oriented design layer suitable for infrastructure planning, climate‑risk assessment, adaptation strategy development, and long‑term stress‑testing under future climate conditions. All rasters are: CHIRPS‑aligned (0.05° resolution) Indo‑Floods domain‑masked Consistent across scenarios Fully reproducible using the included workflow This release includes: hazard_max_ssp370_2027_2100.tif hazard_max_ssp585_2027_2100.tif hazard_max_SSP3-7.0.png hazard_max_SSP5-8.5.png The CCART‑Floods hazard engine and processing workflow are openly documented to support scientific reuse, institutional integration, and long‑term climate‑risk research. Known Limitations This dataset inherits the spatial coverage constraints of the public INDOFLOODS release, which contains 155 gauges with limited representation in several northern and eastern states (e.g., Bihar, Uttarakhand, Punjab, Haryana, Uttar Pradesh). These regions appear as NaN in all susceptibility and hazard layers by design. Complete INDOFLOODS data, including the Ganga and Brahmaputra basins, is available from the authors upon request and will be incorporated in a future CCART‑Floods release. The hazard model represents rainfall‑driven exceedance intensity scaled by susceptibility; it does not simulate hydrodynamic routing or inundation depth. All outputs are aligned to the CHIRPS 0.05° grid and use ACCESS‑CM2 as the climate forcing model for SSP370 and SSP585. These limitations affect spatial completeness but do not affect the reproducibility of the workflow or the internal consistency of the hazard fields.