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Slide 1

Predicting Weather Using Scientific Models

Understanding Weather Patterns Through Science Grade 7 Science Using Observations and Measurements

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Slide 2

What is Weather Prediction?

Weather prediction uses scientific models to forecast future conditions Scientists collect data from multiple sources Computer models process this data to make predictions Accuracy improves with better data and technology

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Slide 3

Key Weather Observations

Cloud types and formations Air masses and their characteristics Weather fronts (cold, warm, occluded) Wind patterns and direction changes

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Slide 4

Weather Measurements vs. Observations

{"left":"Observations: What we can see\nCloud types and coverage\nVisibility conditions\nPrecipitation type\nMeasurements: What we can quantify","right":"Temperature (°F or °C)\nWind speed and direction\nHumidity percentage\nAir pressure (inches of mercury)"}

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Slide 5

Weather Station Challenge

Work in teams to identify weather instruments Match each tool to what it measures Discuss how each measurement helps predict weather Record current conditions using classroom weather station

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Slide 6

Understanding Air Masses and Fronts

Air masses: Large bodies of air with similar temperature and humidity Cold fronts: Dense cold air pushes under warm air Warm fronts: Warm air gradually rises over cold air Fronts create most of our changing weather patterns

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Slide 8

Satellite and Radar Technology

Weather satellites provide cloud images from space Doppler radar detects precipitation and wind patterns Satellites track storm movement and development Radar can see inside storms to measure intensity

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Slide 9

Weather Prediction Challenge

Look at the current weather data: Temperature: 68°F, Humidity: 85% Wind: SW at 15 mph, Pressure: 29.85 inches (falling) Clouds: Cumulus building to cumulonimbus What weather would you predict for the next few hours?

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Slide 10

Putting It All Together: Weather Models

Scientists combine all observations and measurements Computer models process millions of data points Models run multiple scenarios to show possible outcomes Forecasters interpret model results for final predictions

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