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How Scientists Build Models of Earth

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Format: Interactive (Online), Printable (PDF)
Grades: 678
Subjects: scienceela
Standards: MS-ESS2-1
Languages: English, Spanish

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Reading passage

Reading comprehension

Audio narration

With word word highlighting

Comprehension quiz

Auto-graded

Writing activity

Open-ended response

Glossary & flashcards

Vocabulary practice

Differentiated version

Adapted for varied levels

Spanish translation

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About this reader

This comprehensive 600-word reading passage explores how scientists model Earth systems using physical, mathematical, and computer models. Aligned with NGSS MS-ESS2-1, students learn about the three main types of models scientists use to study Earth's complex processes. The passage explains how physical models like globes and terrariums provide hands-on understanding, mathematical models use equations to predict patterns, and computer models simulate complex interactions. Real-world examples include weather forecasting and climate change predictions. The content is audio-integrated for enhanced accessibility and includes differentiated versions for English Language Learners. Students engage with vocabulary in context, analyze model advantages and disadvantages, and apply concepts through writing activities and graphic organizers that reinforce understanding of scientific modeling practices.

Written by Workybooks TeamPublished by Workybooks

Sample passage and quiz content

CONTENT PREVIEW

Three different globes and an open book displaying a volcanic eruption. — "Three globes and a textbook illustrating physical models of Earth." Image by Marina Leonova / Pexels.

Scientists cannot study Earth by taking it apart or running experiments on the entire planet. Instead, they create models to understand how Earth's systems work. A model is a representation of something that is too large, too small, too complex, or too dangerous to study directly. Scientists use three main types of models to study Earth: physical models, mathematical models, and computer models.

Physical models are objects you can touch and see that represent Earth or its processes. A globe is a simple physical model of Earth that shows the shapes and positions of continents and oceans. Scientists also build more complex physical models, like scaled-down versions of river systems to study how water flows and causes erosion. In laboratories, researchers create physical models of Earth's interior using materials that behave like rock under extreme pressure and heat. These models help scientists understand processes they cannot observe directly, such as how tectonic plates move deep beneath Earth's surface.

Mathematical models use equations and calculations to represent Earth processes. Scientists collect data about temperature, pressure, wind speed, and other measurements, then use mathematical formulas to describe patterns and relationships. For example, meteorologists use mathematical models to calculate how air pressure differences create wind. These models can predict future conditions based on current data. A mathematical model might show that when ocean temperatures rise by a certain amount, the atmosphere will hold more water vapor, leading to increased rainfall in some regions.

Computer models combine mathematical equations with the processing power of computers to simulate complex Earth systems. Scientists program computers with thousands of equations that represent how the atmosphere, oceans, land, and ice interact. The computer runs these calculations repeatedly, showing how conditions might change over time. Weather forecasting relies heavily on computer models that process data from satellites, weather stations, and ocean buoys. Climate scientists use computer models to predict how Earth's climate might change over decades or centuries based on different levels of greenhouse gases in the atmosphere.

Each type of model has strengths and limitations. Physical models are easy to understand and manipulate, but they cannot capture all the complexity of real Earth systems. Mathematical models can represent precise relationships, but they require accurate data and may oversimplify complex interactions. Computer models can handle enormous amounts of data and simulate multiple interacting systems, but they are only as good as the equations and data scientists put into them. This is why scientists often use multiple types of models together, comparing results to build confidence in their predictions.

Models are essential tools for understanding Earth because they allow scientists to test ideas and make predictions. By changing variables in a model, scientists can explore "what if" questions. What if sea levels rise by one meter? What if volcanic eruptions release certain amounts of ash into the atmosphere? Models help scientists prepare for natural disasters, manage resources, and understand how human activities affect Earth's systems. As technology improves and scientists gather more data, models become more accurate and useful for solving real-world problems.

Interesting Fact: The computer models used to predict weather require some of the world's most powerful supercomputers, capable of performing trillions of calculations per second to process data from millions of observation points around the globe.

What is a model in science?

A representation of something too large, small, complex, or dangerous to study directlyA perfect copy of Earth that scientists can take apartA type of computer used only for weather predictionA mathematical equation that never changes

Which of the following is an example of a physical model?

A mathematical equation for wind speedA globe showing continents and oceansA computer program simulating climateData collected from weather satellites

What do mathematical models use to represent Earth processes?

Physical objects you can touchComputer graphics and animationsEquations and calculationsPhotographs from space

According to the passage, what is the main advantage of computer models?

They are easy for everyone to understandThey can handle enormous amounts of data and simulate multiple interacting systemsThey never make mistakes in predictionsThey are cheaper than other types of models

Why do scientists often use multiple types of models together?

Because one type of model is always wrongTo make their work look more impressiveTo compare results and build confidence in their predictionsBecause computers are not powerful enough

What does the term 'simulate' mean in the context of computer models?

To destroy or take apartTo imitate or recreate a process or systemTo photograph from different anglesTo measure with scientific instruments

How do models help scientists prepare for the future?

By allowing them to test 'what if' questions and explore different scenariosBy preventing all natural disasters from happeningBy making exact predictions that are always correctBy controlling Earth's weather patterns

What is a limitation of physical models mentioned in the passage?

They are too expensive to buildThey cannot capture all the complexity of real Earth systemsThey require supercomputers to operateThey can only be used once

True or False: Computer models used for weather prediction are only as good as the equations and data scientists put into them.

TrueFalse

True or False: Scientists can study Earth by taking it apart and running experiments on the entire planet.

TrueFalse