Students gain experience using a spreadsheet and working with others to decide how to conduct their model 'experiments' with the NASA GEEBITT (Global Equilibrium Energy Balance Interactive Tinker Toy). This activity helps students become more familiar with the physical processes that made Earth's early climate so different from that of today. Students also acquire first-hand experience with a limitation in modeling, specifically, parameterization of critical processes.

In this activity, students investigate how scientists monitor changes in Earth's glaciers, ice caps, and ice sheets. The activity is linked to 2009 PBS Nova program entitled Extreme Ice.

In this intermediate Excel activity, students import US Historical Climate Network mean temperature data into Excel from a station of their choice. They are then guided through the activity on how to use Excel for statistical calculations, graphing, and linear trend estimates. The activity assumes some familiarity with Excel and graphing in Excel.

In this activity, students use authentic Arctic climate data to unravel some causes and effects related to the seasonal melting of the snowpack and to further understand albedo.

This set of activities is about carbon sources, sinks, and fluxes among them - both with and without anthropogenic components.

In this activity, students examine climate variability in the North Atlantic associated with the North Atlantic Oscillation (NOA) in a case study format.

Through this set of lessons, students learn about the impacts of water shortages due to drought, make connections to climate patterns, and explore community resiliency solutions. The lessons engage students in evaluating solutions for a particular case study community. Students will need to do additional research on solutions, but by the end of the lesson, students will be able to articulate how drought, although a localized problem, has far-reaching impacts, and to suggest solutions to a problem that is projected to intensify as the climate continues to change.

This Earth Exploration Toolbook chapter uses ArcGIS and climate data from the National Center for Atmospheric Research (NCAR) Climate Change Scenarios GIS Data Portal to help users learn the basics of GIS-based climate modeling. The five-part exercise involves calculating summer average temperatures for the present day and future climate modeled output, visually comparing the temperature differences for the two model runs, and creating a temperature anomaly map to highlight air temperature increases or decreases around the world.

In this exercise learners use statistics (T-test using Excel) to analyze an authentic dataset from Lake Mendota in Madison, WI that spans the last 150 years to explore ice on/ice off dates. In addition, students are asked to investigate the IPCC Likelihood Scale and apply it to their statistical results.

In this activity, students review techniques used by scientists as they analyze a 50-year temperature time series dataset. The exercise helps students understand that data typically has considerable variability from year to year and to predict trends, one needs to consider long-term data.