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WCSS-Ltd/VLCIS-Rwanda

Domain:

climate

Record type:

dataset
Creator:
WCS
Host:
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 --- ## 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)**. --- ## 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 --- ## 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 --- ## 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 …

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