Grade: Grade 8 | High School
Keywords: Weather Forecasting, WRF
Estimated Time: 40 - 45 Minutes
Standards Addressed
|---------------------|-------------|
| MS - ESS2-5 | HS - ESS2-4 |
| MS - ESS2-6 | HS - ESS3-5 |
The weather plays a critical role in every aspect of human life. Hence, scientists have made efforts over the years to improve human’s ability and accuracy to predict the weather in order to ensure a better life. This process of weather prediction using various scientific and computational tools is referred to as weather forecasting.
Weather Forecasting is done by using supercomputers to collect and process large amounts of data about the atmosphere and applying scientific models to make informed decisions from the data.
The ultimate goal of weather forecasting is to protect humans and improve our quality of life by using data about the atmosphere to make informed decisions about agriculture, tourism, healthcare, hurricanes, safety and other daily activities. In this lesson you will be making your own weather predictions by running the Weather Research and Forecasting (WRF) model on a Raspberry Pi. You will use this prediction to answer a question you care about and share your weather story with the others.
The objective of this lesson is to introduce students to weather forecasting and model simulation using the wrf model. At the end of the lesson, learners will be able to:
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use weather datasets and the WRF model to answer real world questions.
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apply data science practices (data understanding, analysis, visualization, and communication) to tell a weather story.
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analyze and reflect on the social impact of weather forecasting
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RaspberryPi 3+ or higher, with monitor and keyboard
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Internet connection to download weather data