Take a map and divide it into squares. You take data such as climate data going back as far as you can, and the current conditions for that square. The climate data tells you what the weather was in the past and what were the conditions that led up to that. Then you take all of that data and feed it into a super computer. The computer then predicts based on what happened before and what’s happening now what will probably happen in the future. Then do that for every square and you get a forecast for each of those squares. That’s of course the 20,000 foot level description.
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