Building a modern weather forecasting ecosystem that combines Numerical Weather Prediction (NWP), Artificial Intelligence, Machine Learning, satellite observations, radar products, and atmospheric datasets to deliver high-resolution forecasts, research tools, and scalable weather services.
India Weather System (IWS) is an open-source weather forecasting platform designed specifically for the Indian subcontinent. The project aims to provide an extensible and transparent framework for generating high-resolution weather forecasts by integrating modern numerical weather prediction techniques with artificial intelligence and large-scale atmospheric datasets.
Unlike traditional weather applications that simply consume third-party forecasts, India Weather System focuses on building an independent forecasting pipeline capable of ingesting, processing, and analyzing meteorological data from multiple sources to generate its own predictions.
The project is designed for researchers, developers, students, and contributors interested in atmospheric science, machine learning, climate research, and open-source software.
The long-term goal is to build an open ecosystem for weather forecasting that is:
- High resolution
- AI-assisted
- Community-driven
- Open-source
- Scalable
- Research focused
The platform is being developed with a strong emphasis on reproducibility, transparency, and extensibility, enabling anyone to study, improve, or build upon the forecasting pipeline.
- Global weather model ingestion
- Satellite data processing
- Radar integration
- Weather station observations
- Historical climate datasets
- Terrain and elevation support
- Numerical Weather Prediction (NWP)
- AI-based forecasting
- Nowcasting
- Ensemble forecasting
- High-resolution regional forecasts
- Forecast post-processing
- Interactive weather maps
- Forecast dashboards
- Satellite imagery
- Radar overlays
- Weather animations
- Historical weather explorer
- REST API
- Python SDK
- Forecast APIs
- Dataset APIs
- Weather tiles
- Developer integrations
| Category | Technologies |
|---|---|
| Programming | Python |
| Machine Learning | PyTorch, TensorFlow |
| Data Processing | NumPy, xarray, Pandas |
| Weather Libraries | MetPy, cfgrib, pygrib |
| Backend | FastAPI |
| Database | PostgreSQL |
| Visualization | Plotly, Leaflet, MapLibre |
| Deployment | Docker, Linux |
india-weather-system/
├── Assets/
├── configs/
├── datasets/
├── docs/
├── models/
├── notebooks/
├── scripts/
├── src/
├── tests/
├── LICENSE
├── README.md
└── requirements.txt
Clone the repository.
git clone https://github.com/Axoineo/india-weather-system.git
cd india-weather-systemCreate a virtual environment.
python -m venv .venvActivate the environment.
Windows
.venv\Scripts\activateLinux/macOS
source .venv/bin/activateInstall dependencies.
pip install -r requirements.txtIndia Weather System is currently under active development.
Core modules currently being developed include:
- Data ingestion
- Dataset management
- Forecast pipeline
- AI model experimentation
- Documentation
- Project architecture
Additional functionality will be introduced progressively as the project evolves.
Contributions are welcome.
Whether you're interested in machine learning, atmospheric science, numerical weather prediction, software engineering, or documentation, your contributions can help improve the project.
Please read the Contributing Guide before submitting pull requests.
This project is licensed under the Apache License 2.0.
See the LICENSE file for additional information.