This teaching activity addresses regional variability as predicted in climate change models for the next century. Using real climatological data from climate models, students will obtain annual predictions for minimum temperature, maximum temperature, precipitation, and solar radiation for Minnesota and California to explore this regional variability. Students import the data into a spreadsheet application and analyze it to interpret regional differences. Finally, students download data for their state and compare them with other states to answer a series of questions about regional differences in climate change.

This sequence of activities using real-world data to explain the importance of coral reefs and the relationship of coral reef health to the surrounding environment. Unit includes five activities.

Students use long term sea-level rise data set to create models and compare short-term trends to long-term trends. They then determine whether sea-level rise is occurring based on the data.

Using real data from NASA's GRACE satellites, students will track water mass changes in the U.S., data that measures changes in ice, surface and especially groundwater. The background information includes an animated video about where water exists and how it moves around Earth, as well as short video clips to introduce the GRACE mission and explain how satellites collect data. Students will estimate water resources using heat-map data, create a line graph for a specific location, then assess trends and discuss implications.

This activity illustrates the importance of water resources and how changes in climate are closely linked to changes in water resources. The activity could fit into many parts of a science curriculum, for example a unit on water could be connected to climate change.

In this activity, students use maps and data to learn about where and how hurricanes form and possible correlations with climate change affecting their strength.

In this activity students work with real datasets to investigate a real situation regarding disappearing Arctic sea ice. The case study has students working side-by-side with a scientist from the National Snow and Ice Data Center and an Inuit community in Manitoba.

This module contains five activities, in increasing complexity, that focus on understanding how to interpret and manipulate sea level data, using real data from NOAA.

Students first need to understand how to access and interpret sea surface height and tide data. To understand how to interpret these data, students will review and practice computing mean values. Along the way, they will learn how different factors, such as storms, affect tide levels and how to measure them. The goal is for students to become experienced with these kinds of data and the tools for accessing them so that, by the end of the module, they can continue to explore data sets driven by their own inquiry.

This activity allows students to examine graphs of sea level rise data as well as global temperature data. They calculate amounts and rates of sea level rise for various time periods and answer questions discussing the data. They then compare the sea level rise trends to those in a graph of temperature data.

In this set of activities, students learn about impacts of drought through news videos of communities facing serious water shortages, analyze drought data and models, and research and evaluate potential solutions. This lesson works well as a component within a larger unit on climate change, its impacts, and ways to address the resulting issues.

This simulation provides scenarios for exploring the principles of climate dynamics from a multi-disciplinary perspective. Interconnections among climate issues, public stakeholders, and the governance spheres are investigated through creative simulations designed to help students understand international climate change negotiations.