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A computer model can predict various climate conditions, including temperature changes, precipitation patterns, sea-level rise, and extreme weather events like hurricanes and droughts. These models use vast amounts of data and complex algorithms to simulate how different factors, such as greenhouse gas emissions and land use changes, will affect the climate over time. By analyzing these predictions, scientists can better understand potential future scenarios and inform policy decisions.

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How can scientists predict global warming?

Climate is easier to predict than weather, as climate is not subject to the same vagaries. Scientists use complex computer simulations to model climate change. Climate models have successfully predicted changes on all seven of the eight planets in our solar system which possess atmospheres. Mercury, with no atmosphere, essentially has no climate.


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Scientific models are used to represent, explain, and predict phenomena in the natural world. An idea model could be the concept of natural selection in evolution, which helps explain how species adapt over time. A physical model might be a globe representing Earth's geography, allowing for a tangible understanding of global features. A computer model could be a climate simulation that uses algorithms to predict future climate changes based on various input scenarios.


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One example of a model used in Earth science is climate models, which simulate the Earth's climate system to predict future climate conditions. Models are crucial in Earth science because they allow scientists to understand complex interactions between various Earth systems, such as the atmosphere, oceans, and land surfaces. By using models, researchers can test hypotheses, make predictions, and ultimately improve our understanding of the Earth's dynamics and processes.


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Kimberly should collect historical weather data, including temperature, precipitation, humidity, wind speed, and solar radiation over an extended period. She should also gather data on local geography, such as topography, land use, and vegetation cover, as these can significantly influence climate patterns. Additionally, obtaining information about atmospheric conditions, like pressure and cloud cover, will be essential for a comprehensive climate model.