🌪️ Enhanced Typhoon Analysis Platform
Advanced ML clustering, route predictions, and comprehensive tropical cyclone analysis including Tropical Depressions
Welcome to the Enhanced Typhoon Analysis Dashboard
This dashboard provides comprehensive analysis of typhoon data in relation to ENSO phases with advanced machine learning capabilities.
🚀 Enhanced Features:
- Advanced ML Clustering: UMAP/t-SNE storm pattern analysis with separate visualizations
- Predictive Routing: Advanced storm track and intensity forecasting with uncertainty quantification
- Complete TD Support: Now includes Tropical Depressions (< 34 kt)
- Taiwan Standard: Full support for Taiwan meteorological classification system
- 2025 Data Ready: Real-time compatibility with current year data
- Enhanced Animations: High-quality storm track visualizations with both standards
📊 Data Status:
- ONI Data: 77 years loaded
- Typhoon Data: 462,744 records loaded
- Merged Data: 5,235 typhoons with ONI values
- Available Years: 1851 - 2025
🔧 Technical Capabilities:
- UMAP Clustering: ✅ Available
- AI Predictions: 🧠 Deep Learning
- Enhanced Categorization: Tropical Depression to Super Typhoon
- Platform: Optimized for Hugging Face Spaces
📈 Research Applications:
- Climate change impact studies
- Seasonal forecasting research
- Storm pattern classification
- ENSO-typhoon relationship analysis
- Intensity prediction model development
🌊 Monthly Typhoon Genesis Prediction
Enter month (1-12) and ONI value to see realistic typhoon development throughout the month using Genesis Potential Index
1 12
Watch daily genesis potential evolution
🌊 What You'll Get:
- Daily GPI Evolution: See genesis potential change day-by-day throughout the month
- Genesis Event Detection: Automatic identification of likely cyclogenesis times/locations
- Storm Track Development: Physics-based tracks from each genesis point
- Real-time Animation: Watch storms develop and move with uncertainty visualization
- Environmental Analysis: SST, humidity, wind shear, and vorticity effects
- ENSO Modulation: How El Niño/La Niña affects monthly patterns
🎯 Storm Pattern Analysis with Separate Visualizations
Four separate plots: Clustering, Routes, Pressure Evolution, and Wind Evolution
🔍 Dimensionality Reduction Method
UMAP provides better global structure preservation
Start Month
End Month
ENSO Phase
Start Month
End Month
ENSO Phase
Start Month
End Month
ENSO Phase
Start Month
End Month
ENSO Phase
🎥 High-Quality Storm Track Visualization (Atlantic & Taiwan Standards)
Year
Basin
Storm Selection (All Categories Including TD)
🎌 Classification Standard
Atlantic: International standard | Taiwan: Local meteorological standard
📈 Comprehensive Dataset Analysis
📊 Enhanced Dataset Summary:
- Total Unique Storms: 7,765
- Total Track Records: 462,744
- Year Range: 1851-2025 (175 years)
- Basins Available: 18, 19, 20
- Average Storms/Year: 44.4
🌪️ Storm Category Breakdown:
- Tropical Depressions: 4,807 storms (61.9%)
- Tropical Storms: 4,838 storms
- Typhoons (C1-C5): 2,887 storms
🚀 Platform Capabilities:
- Complete TD Analysis - First platform to include comprehensive TD tracking
- Dual Classification Systems - Both Atlantic and Taiwan standards supported
- Advanced ML Clustering - DBSCAN pattern recognition with separate visualizations
- Real-time Predictions - Physics-based and optional CNN intensity forecasting
- 2025 Data Ready - Full compatibility with current season data
- Enhanced Animations - Professional-quality storm track videos
- Multi-basin Analysis - Comprehensive Pacific and Atlantic coverage
🔬 Research Applications:
- Climate change impact studies
- Seasonal forecasting research
- Storm pattern classification
- ENSO-typhoon relationship analysis
- Intensity prediction model development
- Cross-regional classification comparisons