Each model uses a different set of data to predict future weather conditions that meteorologists can use, along with their meteorological training, to make an official forecast. Storm chasers use the model data to try to predict when and where storms will develop, as well as how severe the storms will be. The models can forecast a variety of conditions, such as temperature, dew point, wind speed and direction at various heights, and much more!
WeatherTAP.com has RAP, NAM and GFS model data. Rapid Refresh (RAP) model data is updated hourly and forecasts data for up to 18 hours. RAP data includes information from satellite data, radar data, commercial aircraft weather data, balloon data and surface observations. North American Mesoscale (NAM) data is updated four times a day (00, 06, 12, 18 UTC) and forecasts data for up to 84 hours. Dozens of weather parameters are available from the NAM grids, from temperature and precipitation to lightning and turbulent kinetic energy. The Global Forecast System (GFS) data updates four times a day and forecasts data for 240 hours or 10 days. The GFS provides dozens of atmospheric and land-soil variables including temperatures, winds, precipitation, soil moisture and atmospheric ozone concentration.
All model data maps can be zoomed to a regional level and animated. Plus, you can flip through the animation frame by frame to see the weather for a particular point in time. Our predictive model data maps include forecasts for:
- Winds and Height
- Relative Humidity
- Severe Indices
We even have models for precipitation accumulation and predictive snow depth.