Mon Prof Augmenté
Weather Data to Forecast Maps
Age 17 · Computer Science
Weather stations and satellites collect observations from around the world. Supercomputers turn those observations into many simulated futures, which are combined into forecast maps.
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In the picture
- Satellite dish: incoming worldwide weather observations
- Server racks: supercomputer running the forecast model
- Rotating globe: current state of the atmosphere
- Stacked translucent maps: forecast maps for future weather
- Branching light paths: many possible simulated futures
Examples
- A five-day rain forecast for a city comes from many model runs, not one.
- A hurricane track map shows a cone where the storm may go.
Key takeaways
- More observations improve the starting point for a forecast.
- Ensembles show uncertainty by simulating many possible futures.
Quiz: Weather Data to Forecast Maps (Age 17)
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Why do more weather observations help a forecast?
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Why does an ensemble simulate many possible futures?
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What do supercomputers do with worldwide weather observations?
The answers, each with its explanation, are in the app. This lesson has left the free week, so its quiz is part of the subscription.
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