This video provides a good introduction to the field of attribution science. Beginning with an introduction to weather and climate, it describes how severe weather might be linked to climate change and the science behind attribution studies. It gives a good explanation behind how scientists use climate models to study whether severe weather events were influenced by climate change. It also discusses the question, "does climate change cause extreme weather?" and provides an introduction to the concepts of probability, causation, and correlation in regards to attribution science (how much climate change influenced an event verses normal variations in weather).

This resource is part of a collection of visualizations that illustrate observed changes in temperature, precipitation, storms, floods, and droughts. This resource focuses on US and Global temperature. Rising global average temperature is associated with widespread changes in weather patterns. Scientific studies indicate that extreme weather events such as heat waves and large storms are likely to become more frequent or more intense with human-induced climate change. The larger collection includes climate change indicators within the oceans, snow and ice, and other ecosystems and the effects on humans and our society.

In this activity, students use Google Earth to explore global temperature changes during a recent 50 - 58 year period. They also explore, analyze, and interpret climate patterns of 13 different cities, and analyze differences between weather and climate patterns.

This is an interactive website that provides descriptive information and data related to ten key climate indicators. These climate indicators and related resources show global patterns and data that are intuitive and compelling teaching tools.

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.

In this activity, students work with climate data from the tropical Pacific Ocean to understand how sea-surface temperature and atmospheric pressure affect precipitation in the tropical Pacific in a case study format.

In this activity, students explore past examples of climate variability in three locations: the Peruvian and Bolivian Andes, Central America, and coastal Greenland, and consider differences between climate variability and climate change.

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