Map-first, climate-informed flood hazard assessment for data-scarce basins in R: rainfall extreme value analysis (GEV), rainfall-runoff simulation, terrain-based flow routing and water-depth mapping in one reproducible pipeline, with a built-in stationary-vs-nonstationary test for changing rainfall extremes.

Agentic AI tool for automated QC of SRH-2D hydraulic models. Parses mesh, boundary conditions, and materials: generates structured reports and answers natural language questions about your model.

GPU 2D shallow-water flood model of Washington DC running live in the browser — built from open public data (USGS, OSM, FEMA). GPL-3.0.

Geospatial framework for flood-risk assessment of culverts using multi-source data and ML models.

LISFLOOD-FP implementation of model-agnostic self-calibrating loop. Inspired by AutoResearch

FEMA-style 2D flood risk assessment of the White Rock Creek watershed (Dallas County, TX) using HEC-RAS and ArcGIS Pro with an interactive multi-event ArcGIS dashboard

Guadalupe River flood-analysis utilities using USGS/NOAA data, HEC-RAS controller checks, and peak-flow reporting.

Modular Python pipeline for HAND-based flood inundation and damage estimation — from a (lat, lon) point and rainfall to a per-cell flood depth and damage map.

AI-Augmented Water Resources Decision Support Platform integrating rainfall monitoring, runoff modeling, reservoir optimization, and flood-risk analysis.

A Python-based geospatial analysis and optimization pipeline for designing climate-adapted, flood-resilient infrastructure at Roskilde Festival.

High-resolution coastal flood modeling using morphological reconstruction algorithms

Proyección de anegamientos en regiones de Chile ante precipitación extrema: modelo semi-hidrológico HAND calibrado con huellas históricas (MODIS/Sentinel-1), sobre DEM Copernicus y lluvia GFS/IFS

Raster DEM conditioning, D4 river geometry, and optional bathymetry lowering for flood-model workflows.