This series of five activities about ocean acidification incorporates real data from NOAA. The activities are organized as a pathway, with five levels increasing in sophistication, and different data-based inquiry activities.
This activity offers an introduction to working with Geographic Information Systems (GIS) by using field data on the Urban Heat Island Effect that was collected by students. The field data is entered in the GIS, displayed in a map, and analyzed.
This is lesson five of a 9-lesson module. Activity explores the effects of climate change on different parts of the Earth system and on human well-being: polar regions, coral reefs, disease vectors, extreme weather, and biodiversity.
This activity introduces students to visualization capabilities available through NASA's Earth Observatory, global map collection, NASA NEO and ImageJ. Using these tools, students build several animations of satellite data that illustrate carbon pathways through the Earth system.
This web-based activity tackles the broad reasons for undertaking ocean exploration - studying the interconnected issues of climate change, ocean health, energy and human health. Students examine the types of technology ocean scientists use to collect important data.
In this activity, students learn how to read, analyze, and construct climographs. These climographs are a graphic way of displaying monthly average temperature and precipitation. Students also practice matching climographs to various locations and summarize global-scale climate patterns revealed by comparing climographs.
For this lesson, the guiding Concept Question is: What is climate change and how does climate relate to greenhouse gas concentrations over time? This activity is the second lesson in a nine-lesson module 'Visualizing and Understanding the Science of Climate Change' produced by the International Year of Chemistry project (2011).
In this activity, students learn about the urban heat island effect by investigating which areas of their schoolyard have higher temperatures - trees, grass, asphalt, and other materials. Based on their results, they hypothesize how concentrations of surfaces that absorb heat might affect the temperature in cities - the urban heat island effect. Then they analyze data about the history of Los Angeles heat waves and look for patterns in the Los Angeles climate data and explore patterns.