Numerical: Deterministic
1. Global Deterministic Prediction System (GDPS)
Description:
The GDPS is a coupled atmosphere-ocean-sea ice deterministic numerical weather prediction model. It operates globally with a horizontal resolution of approximately 15 km and provides forecasts up to 10 days ahead.
Available Variables:
Air Temperature: Predicted temperatures at various atmospheric levels.
Precipitation: Forecasted precipitation amounts and types.
Wind Speed and Direction: Predicted wind vectors at different altitudes.
Humidity: Forecasted relative humidity levels.
Sea-Level Pressure: Predicted atmospheric pressure at sea level.
Cloud Cover: Forecasted cloud fraction and distribution.
Sea Surface Temperature: Predicted temperatures of the ocean surface.
Sea Ice Concentration: Forecasted sea ice coverage and thickness.
Potential AI/ML Applications:
Developing global weather forecasting models.
Analyzing climate patterns and variability.
Enhancing maritime and aviation route planning.
2. Regional Deterministic Prediction System (RDPS)
Description:
The RDPS focuses on providing higher-resolution forecasts over North America, with a horizontal resolution of approximately 10 km. It offers predictions up to 84 hours into the future.
Available Variables:
Air Temperature: Predicted temperatures at various atmospheric levels.
Precipitation: Forecasted precipitation amounts and types.
Wind Speed and Direction: Predicted wind vectors at different altitudes.
Humidity: Forecasted relative humidity levels.
Sea-Level Pressure: Predicted atmospheric pressure at sea level.
Cloud Cover: Forecasted cloud fraction and distribution.
Vertical Profiles: Detailed atmospheric profiles including temperature, humidity, and wind at various pressure levels.
Potential AI/ML Applications:
Enhancing regional weather prediction accuracy.
Supporting disaster preparedness and response.
Improving agricultural planning and management.
3. High Resolution Deterministic Prediction System (HRDPS)
Description:
The HRDPS provides even finer resolution forecasts, particularly useful for capturing small-scale weather phenomena. It is especially beneficial for regions with complex terrain or coastal areas.
Available Variables:
Air Temperature: High-resolution temperature forecasts at 2 meters above ground level.
Precipitation: Detailed forecasts of precipitation amounts and types.
Wind Speed and Direction: High-resolution wind forecasts at various altitudes.
Humidity: Detailed relative humidity forecasts.
Cloud Cover: High-resolution cloud fraction and distribution forecasts.
Potential AI/ML Applications:
Modeling urban microclimates.
Predicting localized severe weather events.
Supporting renewable energy resource management.
4. Experimental High Resolution Deterministic Prediction System North (HRDPS-North)
Description:
The HRDPS-North is an experimental extension of the HRDPS, focusing on high-resolution forecasts for northern regions, including the Arctic.
Available Variables:
Air Temperature: High-resolution temperature forecasts for northern latitudes.
Precipitation: Detailed forecasts of precipitation amounts and types in Arctic regions.
Wind Speed and Direction: High-resolution wind forecasts tailored for northern areas.
Sea Ice Concentration: Forecasts of sea ice coverage and thickness in the Arctic.
Potential AI/ML Applications:
Studying climate change impacts in polar regions.
Enhancing navigation safety for Arctic shipping routes.
Supporting indigenous communities with tailored weather information.
5. Scribe Nowcasting Matrices
Description:
Scribe is an automated system that generates short-term weather forecasts (nowcasts) by integrating data from various numerical models and observational sources.
Available Variables:
Temperature: Very short-term temperature forecasts.
Precipitation: Immediate forecasts of precipitation onset, type, and intensity.
Wind: Short-term wind speed and direction forecasts.
Visibility: Nowcasts of visibility conditions, crucial for transportation.
Potential AI/ML Applications:
Developing real-time decision support systems for aviation and transportation.
Enhancing public safety through immediate weather alerts.
Improving energy demand forecasting with short-term weather data.
Last updated
Was this helpful?