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
Heterogenous Graph Attention Transformer for high-resolution, distributed spatiotemporal flood prediction. Published at ACM SIGSPATIAL 2025.
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.
RAG system for flood forecasting using LangChain and OpenAI
Generating aerial flood prediction imagery with generative adversarial networks
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).
Repository containing Notebooks, Python scripts, datasets, pipelines, among other information about projects involving CML for flood prediction.
A privacy-preserving flood forecasting system that leverages Federated Learning to aggregate predictive models across distributed weather stations without sharing raw localized data.
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