πͺοΈ 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.
π 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
π Data Status:
- ONI Data: 77 years loaded
- Typhoon Data: 462,723 records loaded
- Merged Data: 5,234 typhoons with ONI values
- Available Years: 1851 - 2025
π§ Technical Capabilities:
- UMAP Clustering: β Available
- AI Predictions: π§ Deep Learning
- Enhanced Categorization: Tropical Depression to Super Typhoon
- Platform: Optimized for Hugging Face Spaces
π Research Applications:
- Climate change impact studies
- Seasonal forecasting research
- Storm pattern classification
- ENSO-typhoon relationship analysis
- Intensity prediction model development
π― Storm Pattern Analysis with Separate Visualizations
Four separate plots: Clustering, Routes, Pressure Evolution, and Wind Evolution
π Dimensionality Reduction Method
UMAP provides better global structure preservation
π Enhanced Clustering Features:
- Separate Visualizations: Four distinct plots for comprehensive analysis
- Multi-dimensional Analysis: Uses 15+ storm characteristics including intensity, track shape, genesis location
- Route Visualization: Geographic storm tracks colored by cluster membership
- Temporal Analysis: Pressure and wind evolution patterns by cluster
- DBSCAN Clustering: Automatic pattern discovery without predefined cluster count
- Interactive: Hover over points to see storm details, zoom and pan all plots
π― How to Interpret:
- Clustering Plot: Each dot is a storm positioned by similarity (close = similar characteristics)
- Routes Plot: Actual geographic storm tracks, colored by which cluster they belong to
- Pressure Plot: Shows how pressure changes over time for storms in each cluster
- Wind Plot: Shows wind speed evolution patterns for each cluster
- Cluster Colors: Each cluster gets a unique color across all four visualizations
π Realistic Typhoon Development from Genesis
π§ Deep Learning models available - TensorFlow loaded successfully
Current Method: Hybrid CNN-Physics genesis modeling with realistic development cycles
π Realistic Genesis: Select from climatologically accurate development regions
π TD Starting Point: Storms begin at realistic Tropical Depression intensities (25-35 kt)
π¬ Animation Support: Watch storm development unfold over time
π Genesis Configuration
Typhoon Genesis Region
Select realistic development region based on climatology
1 12
Enhanced environmental modeling
Animated storm development vs static view
βοΈ Prediction Controls
π Genesis Conditions
π Realistic Storm Genesis Features:
- Climatological Genesis Regions: 10 realistic development zones based on historical data
- Tropical Depression Starting Point: Storms begin at realistic 25-38 kt intensities
- Realistic Typhoon Speeds: Forward motion 15-25 km/h (matching observations)
- Extended Time Range: 20-1000 hours (up to 42 days) with user input control
- Comprehensive Animation: Watch development with wind/speed/pressure plots
- Environmental Coupling: Advanced physics with ENSO, SST, shear, Ξ²-drift, ridge patterns
π Enhanced Development Stages:
- Genesis (0-24h): Initial cyclogenesis at Tropical Depression level
- Development (24-72h): Rapid intensification in favorable environment (3-6 kt/h)
- Mature (72-120h): Peak intensity phase with environmental modulation
- Extended (120-240h): Continued tracking with realistic weakening
- Long-term (240h+): Extended forecasting for research and planning
πββοΈ Realistic Motion Physics:
- Low Latitude (< 20Β°N): 12-15 km/h typical speeds
- Mid Latitude (20-30Β°N): 18-22 km/h moderate speeds
- High Latitude (> 30Β°N): 25-30 km/h fast extratropical transition
- Intensity Effects: Stronger storms can move faster in steering flow
- Beta Drift: Coriolis-induced poleward and westward motion
- Ridge Interaction: Realistic recurvature patterns
π Genesis Region Selection:
- Western Pacific MDR: Peak activity zone near Guam (12.5Β°N, 145Β°E)
- South China Sea: Secondary development region (15Β°N, 115Β°E)
- Philippine Sea: Recurving storm region (18Β°N, 135Β°E)
- Marshall Islands: Eastern development zone (8Β°N, 165Β°E)
- Monsoon Trough: Monsoon-driven genesis (10Β°N, 130Β°E)
- Other Basins: Bay of Bengal, Eastern Pacific, Atlantic options
π¬ Enhanced Animation Features:
- Real-time Development: Watch TD evolve to typhoon intensity
- Multi-plot Display: Track + Wind Speed + Forward Speed plots
- Interactive Controls: Play/pause/fast buttons and time slider
- Stage Tracking: Visual indicators for development phases
- Speed Analysis: Forward motion tracking throughout lifecycle
- Performance Optimized: Smooth animation even for 1000+ hour forecasts
π¬ Advanced Physics Model:
- Realistic Intensification: 3-6 kt/h development rates in favorable conditions
- Environmental Coupling: SST, wind shear, Coriolis effects
- Steering Flow: Subtropical ridge position and ENSO modulation
- Motion Variability: Growing uncertainty with forecast time
- Pressure-Wind Relationship: Realistic intensity-pressure coupling
- Long-term Climatology: Extended forecasting using seasonal patterns
Start Month
End Month
ENSO Phase
Start Month
End Month
ENSO Phase
Start Month
End Month
ENSO Phase
Start Month
End Month
ENSO Phase
π₯ High-Quality Storm Track Visualization (Atlantic & Taiwan Standards)
Year
Basin
Storm Selection (All Categories Including TD)
π Classification Standard
Atlantic: International standard | Taiwan: Local meteorological standard
π¬ Enhanced Animation Features:
- Dual Standards: Full support for both Atlantic and Taiwan classification systems
- Full TD Support: Now displays Tropical Depressions (< 34 kt) in gray
- 2025 Compatibility: Complete support for current year data
- Enhanced Maps: Better cartographic projections with terrain features
- Smart Scaling: Storm symbols scale dynamically with intensity
- Real-time Info: Live position, time, and meteorological data display
- Professional Styling: Publication-quality animations with proper legends
- Optimized Export: Fast rendering with web-compatible video formats
π Taiwan Standard Features:
- m/s Display: Shows both knots and meters per second
- Local Categories: TD β Mild β Medium β Strong Typhoon
- Color Coding: Gray β Yellow β Orange β Red
- CWB Compatible: Matches Central Weather Bureau classifications
π Comprehensive Dataset Analysis
π Enhanced Dataset Summary:
- Total Unique Storms: 7,764
- Total Track Records: 462,723
- Year Range: 1851-2025 (175 years)
- Basins Available: 18, 19, 20
- Average Storms/Year: 44.4
πͺοΈ Storm Category Breakdown:
- Tropical Depressions: 4,806 storms (61.9%)
- Tropical Storms: 4,837 storms
- Typhoons (C1-C5): 2,887 storms
π 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
π¬ Research Applications:
- Climate change impact studies
- Seasonal forecasting research
- Storm pattern classification
- ENSO-typhoon relationship analysis
- Intensity prediction model development
- Cross-regional classification comparisons