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.
LISFLOOD-FP implementation of model-agnostic self-calibrating loop. Inspired by AutoResearch
Geospatial framework for flood-risk assessment of culverts using multi-source data and ML models.
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.
Guadalupe River flood-analysis utilities using USGS/NOAA data, HEC-RAS controller checks, and peak-flow reporting.
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
A Python-based geospatial analysis and optimization pipeline for designing climate-adapted, flood-resilient infrastructure at Roskilde Festival.
AI-Augmented Water Resources Decision Support Platform integrating rainfall monitoring, runoff modeling, reservoir optimization, and flood-risk analysis.
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.
High-resolution coastal flood modeling using morphological reconstruction algorithms
FABDEM-based DEM conditioning, D4 river geometry, and optional bathymetry lowering for flood-model workflows.
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