Students explore the increase in atmospheric carbon dioxide over the past 40 years with an interactive online model. They use the model and observations to estimate present emission rates and emission growth rates. The model is then used to estimate future levels of carbon dioxide using different future emission scenarios. These different scenarios are then linked by students to climate model predictions also used by the Intergovernmental Panel on Climate Change.

In this activity, students explore how the timing of color change and leaf drop of New England's deciduous trees is changing.

This is an animated interactive simulation that illustrates differential solar heating on a surface in full sunlight versus in the shade.

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.

This data viewing tool from NOAA offers nearly instant access to dozens of datasets about Earth through an engaging interface. Users can select data categories from atmosphere, ocean, land, cryosphere, and climate and drill down from there into more detailed categories.

In this activity, students use datasets from both the Northern and Southern hemispheres to observe seasonal and hemispheric differences in changes to atmospheric C02 release and uptake over time.

This video describes why tropical ice cores are important and provide different information than polar ice cores, why getting them now is important (they are disappearing), and how scientists get them. The work of glaciologist Lonnie Thompson is featured, with a focus on his work collecting cores of ice from high mountain glaciers that contain significant data about past climate change.

In this video, the mountain pine beetle problem is explained by two scientists. Their research investigates the beetle and how climate change is hastening its spread.

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 animated map shows prevailing surface wind direction and strength across the lower 48 states of the US.