kywx
Kentucky AI Weather Engine

Kentucky AI Forecasting Beta

This is the GEM model's output only

You're viewing raw atmospheric data from the GEM (Global Environmental Multiscale Model (CMC)). This is just one model's interpretation and it may disagree with the other models.

Our AI uses this data (along with other models) to create the final forecast. Don't treat this as the definitive answer.

View the Synthesized Forecast Instead

GEM Forecast Data

Global Environmental Multiscale Model (CMC)

The GEM is the primary global weather prediction model operated by the Canadian Meteorological Centre (CMC). It is known for its high-quality synoptic guidance and its tendency to handle arctic air masses with high precision. GEM provides a crucial independent perspective from the American (GFS) and European (ECMWF) global systems, often excelling at identifying moisture-starved cold fronts and high-pressure centers that impact Kentucky's winter weather patterns.

resolution
15km horizontal, 80 vertical levels
domain
Global coverage
update Frequency
Twice daily (00, 12 UTC)
forecast Length
240 hours
physics
Global Environmental Multiscale (GEM) dynamic core
data Assimilation
Hybrid 4D-EnVar

Technical Model Notes

The Global Environmental Multiscale (GEM) model is an integrated forecasting and data assimilation system developed by the Atmospheric Numerical Prediction Research (RPN) group and the Canadian Meteorological Centre (CMC).

GEM is unique in its use of a global variable-resolution grid, which allows for higher precision over specific regions while maintaining a global synoptic context.