Neural-LAM: Relative Humidity Prediction
Baseline
Step 1/19
Scenario:
Selected: Baseline Neural-LAM forecast without intervention
Variable: Relative Humidity (r_2)Range: 0.0 - 1.0
ℹ️ Baseline shows humidity predictions. Select an MCB scenario to view intervention impact variables.
3h
Humidity
+3h
Step 1 of 19 • 3 hours
Speed:
Timeline19 steps
3h3-hour intervals57h
Current Variable
Variable:Water Vapor Column
Unit:kg/m² Δ
Colormap:RdBu (Red→Blue)
Neural-LAM Model
Type:Graph Neural Network
Domain:Sweden (LCC)
Resolution:268 × 238 grid
Range:3-57h (19 steps)
Technical Details
Projection:Lambert Conformal
Center:63.3°N, 15.0°E
Intervals:3-hour steps
Visualization:Matplotlib + Cartopy
Applications
Purpose:Geoengineering prediction co-pilot
Users:Engineers & climate enthusiasts
Focus:Weather impact assessment