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We have forecast data from several regional models that cover United States. These models have a higher resolution than global models that forecast for the whole world, but the increased computational demands of a high resolution model mean that these forecasts only go a couple days out in time, and are limited to a small area.
We have forecast data from a variety of global models that produce forecasts for the whole world, up to two weeks out in time. Weather models, known formally as "Numerical Weather Prediction" are at the core of modern weather forecasts. All the forecast information you see at weather. Weather models are simulations of the future state of the atmosphere out through time. Millions of observations are used as initial conditions in trillions of calculations, producing a three dimensional picture of what the atmosphere might look like at some time in the future.
Massive computers are used to do these calculations at incredibly fast speeds to enable simulations to cover the entire globe, and extend up to two weeks into the future. There are two general types of weather models, global models and regional models. Global models produce forecast output for the whole globe, generally extending a week or two into the future. Regional models on the other hand have much higher resolutions, but only cover some part region of the globe, and only provide forecasts a couple days out in time.
The advantage with these models is that their higher resolution lets them "see" features that the global models miss, most notably including thunderstorms.
Many different national weather centers have supercomputers that run weather models. Each of these is slightly different, using different equations to solve for various physical processes that shape our weather patterns.