A Global (near-coastal) Flood Forecasting (GFF) dataset
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Updated
Nov 19, 2024 - Python
A Global (near-coastal) Flood Forecasting (GFF) dataset
A distributed hydrology-guided neural network model for streamflow prediction
(Journal of Hydrology 2026) Large-scale urban flood modeling and zero-shot high-resolution generalization with LarNO
Heterogenous Graph Attention Transformer for high-resolution, distributed spatiotemporal flood prediction. Published at ACM SIGSPATIAL 2025.
Open, agentic platform for hydrological modelling — an agentic runtime orchestrates data, model selection, training, runs & audit; LSTM for large-scale catchment streamflow & floods, SWMM for urban drainage & LID. Built on open data.
Catalog-independent Wflow SBM hydrological model for the Upper Niger Basin. Complete ETL pipeline from raw ERA5/SRTM to runnable Julia simulation. Includes documented error resolutions and reusable patterns for building Wflow-sbm model.
A privacy-preserving flood forecasting system that leverages Federated Learning to aggregate predictive models across distributed weather stations without sharing raw localized data.
Generating aerial flood prediction imagery with generative adversarial networks
An AI-driven flood forecasting and climate risk analysis platform for Bangladesh, featuring an XGBoost machine learning pipeline, standard API backend, and a real-time tracking dashboard.
Operational Tank is a Python CLI for hydrologic modeling workflows based on Sugawara and Funiyuki (1956), covering historical simulation, calibration, validation, basin-average forcing, and ECMWF/GFS forecast preparation.
A customized python based LISVAP pre-processor generating 15-day (6-hourly) potential evapotranspiration forecasts (ET0, ES0, EW0) for LISFLOOD using ECMWF HRES data.
Bash scripts for ECMWF HRES and Ensemble forecast data processing
LSTM-based rainfall forecasting system with FastAPI backend and Docker deployment. ~85% accuracy on Chennai weather data (1984–2024).
Open AI-driven water intelligence platform for flood forecasting, drought monitoring, and water quality analysis. Natural-language interface, free data APIs, CPU-friendly models.
Context-Aware Concept Distillation for Trustworthy Flood Prediction (IJCAI 2026, AI4Good)
RAG system for flood forecasting using LangChain and OpenAI
Automated hybrid flood forecasting & early warning, Tlawng River Basin, Mizoram, India. Hybrid HEC-HMS + GRU + XGBoost. NHP, Govt. of India.
Repository containing Notebooks, Python scripts, datasets, pipelines, among other information about projects involving CML for flood prediction.
Hydrological modeling framework with a GPU-accelerated solver for large-scale calibration across hundreds to thousands of parameter sets, uncertainty quantification, ensemble and realization analysis using multiple forcing or parameter scenarios, scenario exploration, and regional reanalysis.
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