AI-powered national virtual climate system with 1,543 stations generating high-resolution weather and air quality data across Rwanda.
# VLCIS-Rwanda: National Virtual Climate Observation System
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## Executive Summary
VLCIS-Rwanda is an AI-powered national virtual climate system providing high-resolution (3 km) weather and air quality data across Rwanda. With 1,543 virtual stations, VLCIS-Rwanda addresses gaps in physical meteorological infrastructure, supports climate resilience, and informs decision-making for agriculture, urban planning, disaster risk management, and policy-making.
This system is aligned with international standards and contributes to initiatives by the **World Meteorological Organization (WMO)** and the **African Union (AU)**.
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## Key Features
- 1,543 virtual stations covering the entire country
- Hourly and daily climate and air quality outputs
- 17 climate variables (temperature, precipitation, humidity, wind, solar radiation, etc.)
- 7 air quality indicators (PM2.5, PM10, NO2, O3, CO, SO2, AQI)
- AI-driven predictive modeling and spatial interpolation
- Fully virtual system — no physical sensors required
- Open data access for research, policy, and commercial applications
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## System Architecture
1. **Data Collection:** Integrates open datasets from satellites, numerical weather models, and environmental sources
2. **Data Processing:** AI-based spatial interpolation, quality control, and predictive modeling
3. **Outputs:**
- Climate maps (temperature, rainfall, humidity, wind)
- Air quality dashboards and alerts
- CSV/JSON datasets for researchers and stakeholders
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## Installation & Usage
```bash
# Clone the repository
git clone
github.com
# Install dependencies
pip install -r requirements.txt
# Run Python scripts for data processing and visualization
python scripts/run_model.py
Climate Dashboard
wcss2019.com
Air Quality Dashboard
wcss2019.com
WCSS-Ltd/VLCIS-Rwanda/
│── README.md
│── LICENSE
│── .gitignore
│── data/ # Raw and processed climate & air q …