Hyper-Accurate Weather Prediction Model v3.2.1
What could be A Dendrology future — illustrative, not yet delivered.
A working mock of the model Dendrology intends to run — live data arrives in a later phase.
Weather Prediction Intelligence
Enterprise-grade numerical weather prediction system featuring 4D-Var data assimilation, ensemble Kalman filtering, and machine learning post-processing. Delivers unprecedented accuracy through real-time integration of 11,000+ surface stations, 800+ radiosondes, satellite constellations, and advanced physics parameterizations.
| Parameter | Specification |
|---|---|
| Spatial Resolution | 0.25° - 0.03125° (25km - 3km) |
| Forecast Horizon | 384 hours (16 days) |
| Update Cycle | 6-hourly with 15-min temporal resolution |
| Ensemble Members | 51 (Operational) / 100 (Research) |
Model Overview
98.7%
24hr Temperature Accuracy
94.2%
72hr Precipitation Skill
1.34°C
Temperature RMSE
0.94
Ensemble Spread-Skill
11,000+
Surface Stations
700K+
Daily Aircraft Reports
Interactive Forecasting Interface
Model Control v3.2.1
Operational
Current Ensemble Statistics
Spread: 0.94
Reliability: 0.91
Sharpness:
Resolution: 0.85
Analysis Tools
Data Quality Monitor
Satellite Coverage 98.2%
Surface Observations 96.7%
Aircraft Reports 87.3%
Radiosonde Data 94.1%
Performance Metrics
RMSE (24h)
1.34°C
Bias
-0.12°C
Correlation
0.967
Skill Score
0.92
Alert Thresholds
3.0
15
5
Active Alerts
Aircraft observation coverage below 90% in CONUS region
Ensemble spread optimization completed for 06Z cycle
Notification Settings
Real-time Performance
Model Status Operational
Last Update 00:15 UTC
Processing Time 47 min
Data Latency 8 min
Lat: 40.71°N, Lon: 74.01°W
Model: v3.2.1 | Res: 2.5km | Members: 51
2024-01-15 12:00 UTC +0 hours
Now +3d +7d +14d
Weather Layers
1000m
Temperature (°C)
-20 40
Precipitation (mm/hr)
0 50+
Wind Speed (m/s)
→ Light (0-5)
→ Moderate (5-15)
→ Strong (15+)
Ensemble Prediction System
Ensemble Spread Analysis
Probabilistic Forecasts
85%
Rain > 1mm
23%
Rain > 10mm
5%
Rain > 25mm
92%
Temp 15-25°C
Model Diagnostics & Performance
Bias Analysis
-0.3°C
↓ Improving
Skill Scores
RMSE: 1.8°C
MAE: 1.2°C
Correlation: 0.94
Data Sources
Satellite ✓
Radiosondes ✓
Surface Stations ✓
Aircraft ⚠
Model Documentation
Model Architecture
| Component | Description | Methods |
|---|---|---|
| Dynamical Core | Non-hydrostatic compressible atmosphere model with advanced physics parameterizations |
|
| Component | Description | Methods |
|---|---|---|
| Deep Neural Networks | Multi-scale convolutional networks for pattern recognition and bias correction |
|