🌍 CAMS Air Pollution Visualization

📊 View Plot Gallery

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📁 Method 1: Upload File

Upload your own NetCDF (.nc) or ZIP (.zip) file containing CAMS data

📅 Method 2: Download by Date

Download CAMS data for a specific date (requires CDS API)

🗂️ Method 3: Choose from Recent Files

Select a previously uploaded or downloaded file for visualization.

🔮 Method 4: Aurora ML Predictions

Generate AI-powered air pollution forecasts using Microsoft's Aurora foundation model

🚀 Enhanced Aurora Features:

Uses dual timestamps (T-1 and T) for improved prediction accuracy
Forward predictions from 1-4 steps (12-48 hours coverage)
Organized storage with run metadata and easy browsing
Step-by-step visualization showing temporal evolution
Full pollution suite: PM1, PM2.5, PM10, O₃, NO₂, CO, SO₂

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🔮 Generate Aurora Predictions 📊 Browse Existing Predictions

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Aurora dependencies not installed. Requires PyTorch and aurora-forecast package.

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📋 How to Use

Choose your method: Upload your own file or download data by date
File Analysis: The system will detect air pollution variables in your data
Variable Selection: Choose which pollutant to visualize and select pressure level (for atmospheric variables)
Visualization: Generate and view the pollution map over India with your preferred color theme

💡 Supported Variables: PM2.5, PM10, PM1, NO₂, SO₂, O₃, CO, NO, NH₃, Total Column measurements, and more

🧹 Maintenance

Clean up old files to free up disk space

Clean Old Files