Atmospheric models are like pretend games that scientists and supercomputers play to try to understand how the Earth's atmosphere works. Imagine you are playing a pretend game with your friends and you want to know what might happen if you add different players or toys to the game. That's kind of what scientists do with the atmosphere - they put in information about things like temperature, humidity, and wind, and then use computer programs to see what might happen next.
But just like your pretend game might be a little different each time you play it, scientists have to use different information and assumptions each time they run an atmospheric model. They use things like weather balloons, satellites, and even airplanes to collect information about what's already happening in the atmosphere, and then use that information to try to predict what might happen in the future.
Atmospheric models are very important for scientists because they help us understand things like weather patterns, climate change, and the way pollutants move through the air. But just like your pretend game might never be exactly the same as the real world, atmospheric models can never predict the future with 100% accuracy. That's why scientists are always working to improve their models and learn more about how the atmosphere works.