- Surface Conditions
- 2-m temperature | 2-m dewpoint | 2-m RH
- Precipitation
- 1-hr Precip
- 1-hr accumulated precip
- Neighbor Prob: > 0.01 in | > 0.25 in | > 0.5 in | > 1.0 in | > 2.0 in
- 6-hr Precip
- 6-hr accumulated precip
- 12-hr Precip
- 12-hr accumulated precip
- 24-hr Precip
- 24-hr accumulated precip
- Running-total Precip
- Running total accumulated precip
- Neighbor Prob: > 1.0 in | > 2.0 in | > 3.0 in | > 6.0 in | > 10.0 in
- Snowfall
- Running total snowfall
- Reflectivity
- Composite Reflectivity | Composite Refl & UH
- 1-km AGL Reflectivity
- Neighborhood Prob > 40 dBZ: Comp Refl | 1-km AGL Refl
- Isobaric Fields
- Wind/Height: 250 mb | 500 mb | 700 mb | 850 mb | 925 mb
- Temperature: 250 mb | 500 mb | 700 mb | 850 mb | 925 mb
- Relative Humidity: 700 mb | 850 mb | 925 mb
- Dewpoint: 850 mb | 925 mb
- Clouds
- Cloud fraction: Total | Low | Mid | High
- Outgoing longwave radiation
- Precipitable water
- Precipitable water
- Instability
- SBCAPE | MUCAPE
- Wind shear
- 0-1 km | 0-6 km
- Storm-relative Helicity
- 0-1 km | 0-3 km
- LCL/STP
- Significant Tornado Parameter | LCL Height
- Daily Severe Weather Probs
- Winter Precip
- 1-hr Accumulation
- Snow: Ens Mean | Prob Match Mean | Stamp
- Snow Neighbor Probs: > 1" |
> 2" |
> 3"
- Freezing Rain: Ens Mean | Prob Match Mean | Stamp
- 6-hr Accumulation
- Snow: Ens mean | Ens max
- Freezing rain: Ens mean | Ens max
- 12-hr Accumulation
- Snow: Ens mean | Ens max
- Freezing rain: Ens mean | Ens max
- 24-hr Accumulation
- Snow: Ens mean | Ens max
- Freezing rain: Ens mean | Ens max
- Running total accumulation
- Snow: Ens mean | Prob Match Mean | Stamp
- Snow Neighbor Probs: > 1" | > 3" | > 6" | > 12" | > 24"
- Snow grid-point Probs: > 1" | > 3" | > 6" | > 12" | > 24"
- Freezing rain: Ens mean | Prob Match Mean
- Sleet: Ens mean | Prob Match Mean
- Hourly-max Rotation
- Max cyclonic 2-5 km AGL UH: 1-h max | 4-h windows | 24-h windows
- Max cyclonic 0-3 km AGL UH: 4-h windows | 24-h windows
- Max cyclonic 0-1 km AGL UH: 4-h windows | 24-h windows
- Max anticyclonic 2-5 km UH: 4-h windows | 24-h windows
- Max 1-km AGL vorticity: 4-h windows | 24-h windows
- Neighbor Prob: UH > 50 | UH > 75 | UH > 100 | UH > 150
- Hourly-max Updraft
- Max Updraft: 4-h windows | 24-h windows
- Neighbor Prob: UP > 10 m/s | UP > 20 m/s
- Hourly-max Downdraft
- Max Downdraft: 4-h windows | 24-h windows
- Neighbor Prob: DN > 5 m/s | DN > 10 m/s
- Hourly-max 10-m Wind Speed
- Max Wind Speed: 4-h windows | 24-h windows
- Neighbor Prob: WS > 10 m/s | > 20 m/s | > 30 m/s
- Graupel
- Hourly-max Vert. Int. Graupel
- Neighbor Prob >= 1 in
- Global quadrants
- Western Hemisphere
- Prime Meridian
- Eastern Hemisphere
- International Date Line
- Americas / Atlantic
- North America
- North Atlantic Ocean
- Northern South America
- Southern South America
- Europe and Africa
- Europe
- Mediterranean/Middle East
- Northern/Central Africa
- Southern Africa
- Asia
- China/India/SE Asia
- Japan
- Maritime Continent
- Northern Indian Ocean
- Southern Indian Ocean
- Pacific
- Northern Pacific Ocean
- Southern Pacific Ocean
- Australia / New Zealand
- Australia
- New Zealand
- Polar
- Arctic
- Antarctic
Answers to some questions
close all
- How much computational resources are required to run the forecasts?
- Each forecast requires 19,200 cores on NCAR's Derecho supercomputer for approximately 9 hours.
- Are the data available to external collaborators?
- We welcome collaborators! Send us an email to discuss.
- What is the demonstration period of these forecasts? Can the demonstration period be extended?
- We will be running a daily forecast through the end of May 2025. We are interested in a longer-term demonstration. If this would be of value to you, let us know; community buy-in can help us to obtain resources for longer demonstrations.
- How are neighborhood probabilities computed from a deterministic forecast?
- The neighborhood probabilities are produced following a method initially described in Theis et al. (2005), where the number of grid points exceeding a threshold within the neighborhood of a central point is divided by the number of points in the neighborhood.
- How were the regions determined? Can they be changed?
- The goal was to make sure that each point on the globe is covered by at least one region. Region placement could potentially be improved. If you have a suggestion, please let us know, but given the short nature of this demonstration, we may not make changes. If we do a longer-term demonstration, we will consider substantially overhauling how we visualize these high-resolution global forecasts.
- Some geography, especially coastlines, look a bit weird. Why?
- This is just an issue with the plotting. The coastlines in the MPAS simulation are more accurate. In general, there's ample room for improvement in terms of the mapping and visualization.
- Where can I find more information about the model configuration?
- The model configuration is documented on the "About" page.