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.
Capa de confianza calibrada (ECE/conformal/UQ) para pronósticos de inundación de modelos hidrológicos OSS — para municipios y protección civil
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.
SurgeSurrogate - fast ML surrogate for storm surge forecasting in Manila Bay. XGBoost replaces hours of hydrodynamic simulation with sub-millisecond predictions, trained on typhoons Ketsana, Nesat, Rammasun, Vamco.
Compound urban flood nowcasting for the next six hours. Method and architecture record. Calibration over accuracy, leakage inspection on every run. Part of Mycellium Lab.
Sequential evidence accumulation for flood warning without a validation set. Companion implementation, London Geo Meetup #5, Birkbeck, 12 August 2026.
LSTM-based rainfall forecasting system with FastAPI backend and Docker deployment. ~85% accuracy on Chennai weather data (1984–2024).
Predictive urban flash-flood engine — agentic AI for civil protection (NVIDIA Open Models Codefest 2026)
Monthly forecast river discharge extraction from the GloFAS model with station-level bias correction and ensemble forecast visualization.
Open AI-driven water intelligence platform for flood forecasting, drought monitoring, and water quality analysis. Natural-language interface, free data APIs, CPU-friendly models.
A customized python based LISVAP pre-processor generating 15-day (6-hourly) potential evapotranspiration forecasts (ET0, ES0, EW0) for LISFLOOD using ECMWF HRES data.
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.
Bash scripts for ECMWF HRES and Ensemble forecast data processing
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.
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