π Enhanced Typhoon Analysis Platform with Real-time Oceanic Data
Advanced ML clustering, real-time SST/SLP integration, route predictions, and comprehensive tropical cyclone analysis
π Welcome to the Enhanced Typhoon Analysis Dashboard with Oceanic Coupling
This dashboard provides comprehensive analysis of typhoon data with real-time oceanic data integration for unprecedented forecast accuracy.
π NEW Oceanic Data Features:
- π Real-time SST Data: NOAA OISST v2 Sea Surface Temperature via ERDDAP
- π‘οΈ Real-time SLP Data: NCEP/NCAR Sea Level Pressure via OPeNDAP
- π Dynamic Environmental Coupling: Live oceanic conditions drive intensity predictions
- π Historical Environmental Analysis: Past storm-environment relationships inform predictions
- π― Environmental Potential Index: Real-time calculation of maximum possible intensity
- π Global Data Coverage: Automatic fallback to climatology when real-time data unavailable
π Enhanced Capabilities:
- Environmental Intensity Modeling: SST-driven maximum potential intensity calculations
- Dynamic Steering: SLP-based atmospheric steering patterns
- ENSO-Environment Coupling: Combined ENSO and oceanic state influences
- Uncertainty Quantification: Data quality-based confidence scoring
- Multi-source Integration: Seamless blending of real-time and climatological data
π Data Status:
- ONI Data: 77 years loaded
- Typhoon Data: 462,798 records loaded
- Oceanic Data Sources: NOAA OISST v2 + NCEP/NCAR Reanalysis
- Available Years: 1851 - 2025
π§ Technical Infrastructure:
- Real-time Data Access: xarray + OPeNDAP + ERDDAP protocols
- Environmental Interpolation: Spatial interpolation to storm locations
- Physics-based Modeling: Emanuel potential intensity theory implementation
- Fallback Systems: Robust climatological backup when real-time data unavailable
π¬ Scientific Accuracy:
- SST-Intensity Relationship: Based on latest tropical cyclone research
- Shear Parameterization: ENSO and seasonal wind shear modeling
- Genesis Climatology: Realistic development regions and frequencies
- Track Forecasting: Environmental steering with oceanic state dependencies
π Advanced Storm Development with Live Oceanic Data
π₯ Revolutionary Features:
- π Live SST Integration: Current sea surface temperatures from NOAA satellites
- π‘οΈ Real-time SLP Data: Current atmospheric pressure from global reanalysis
- π― Environmental Potential: Real-time calculation of maximum storm intensity
- π Historical Learning: Past storm-environment relationships guide predictions
- π Global Coverage: Automatic data fetching with intelligent fallbacks
π Genesis & Environmental Configuration
π Typhoon Genesis Region
Climatologically realistic development regions
Fetch live SST/SLP data (may take 10-30 seconds)
Display detailed environmental breakdown
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Full SST-intensity coupling and wind shear modeling
Uncertainty based on data quality and environmental variability
Watch storm-environment interaction evolve
βοΈ Oceanic Prediction Controls
π Environmental Conditions
π§ Data Sources
π Oceanic Data Integration Features:
π₯ Real-time Data Sources:
- SST: NOAA OISST v2 - Daily 0.25Β° resolution satellite-based sea surface temperatures
- SLP: NCEP/NCAR Reanalysis - 6-hourly 2.5Β° resolution atmospheric pressure fields
- Coverage: Global oceans with 1-2 day latency for most recent conditions
- Protocols: ERDDAP and OPeNDAP for standardized data access
π§ Environmental Physics:
- Emanuel Potential Intensity: Theoretical maximum intensity based on thermodynamics
- SST-Intensity Coupling: Non-linear relationship between sea surface temperature and storm intensity
- Atmospheric Steering: Sea level pressure gradients drive storm motion patterns
- Wind Shear Modeling: Vertical wind shear estimation from pressure patterns and ENSO state
π― Enhanced Accuracy:
- Real-time Environmental Limits: Current oceanic conditions set maximum achievable intensity
- Dynamic Development: Storm intensification rate depends on real SST and atmospheric conditions
- Track Steering: Motion influenced by current pressure patterns rather than climatology alone
- Confidence Scoring: Higher confidence when real-time data successfully integrated
π Fallback Systems:
- Automatic Degradation: Seamlessly switches to climatology if real-time data unavailable
- Quality Assessment: Evaluates data completeness and provides appropriate confidence levels
- Hybrid Approach: Combines real-time data with climatological patterns for optimal accuracy
- Error Handling: Robust system continues operation even with partial data failures
π Output Enhancements:
- Environmental Metadata: Track-point SST, SLP, and environmental limits
- Data Source Tracking: Clear indication of real-time vs climatological data usage
- Uncertainty Quantification: Confidence intervals based on data availability and environmental complexity
- Detailed Analysis: Comprehensive breakdown of environmental factors affecting 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
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End Month
ENSO Phase
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ENSO Phase
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ENSO Phase
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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 Comprehensive Dataset Analysis
π Enhanced Dataset Summary:
- Total Unique Storms: 7,767
- Total Track Records: 462,798
- Year Range: 1851-2025 (175 years)
- Basins Available: 18, 19, 20
- Average Storms/Year: 44.4
πͺοΈ Storm Category Breakdown:
- Tropical Depressions: 4,809 storms (61.9%)
- Tropical Storms: 4,839 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 Oceanic Predictions - Physics-based with SST/SLP integration
- 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
- Oceanic-atmospheric coupling research
- Cross-regional classification comparisons