This interactive visualization from the NASA Earth Observatory website compares Arctic sea ice minimum extent from 1984 to that of 2012.

This NASA video provides a nice overview of Earth's water cycle from the perspective of looking at Earth from space.

This animation depicts global surface warming as simulated by NCAR's Community Climate System Model (CCSM) Version 3. It shows the temperature anomalies relative to the end of the 19th century, both over the entire globe and as a global average. The model shows the temporary cooling effects during 5 major volcanic eruptions and estimates future temperature trends based on different amounts of greenhouse gas emissions.

This applet is an ocean acidification grapher that allows user to plot changes in atmospheric C02 against ocean pH, from 1988 to 2009, in the central North Pacific.

This video is simple in its appearance, but it contains a wealth of relevant information about global climate models.

This series of visualizations show the annual Arctic sea ice minimum from 1979 to 2015. The decrease in Arctic sea ice over time is shown in an animation and a graph plotted simultaneously, but can be parsed so that the change in sea ice area can be shown without the graph.

This interactive visualization is a suite of weather and climate datasets as well as tools with which to manipulate and display them visually.

This color-coded map displays a progression of changing five-year average global surface temperatures anomalies from 1880 through 2010. The final frame represents global temperature anomalies averaged from 2006 to 2010. The temperature anomalies are computed relative to the base period 1951-1980.

This animated visualization represents a time history of atmospheric carbon dioxide in parts per million (ppm) from 1979 to 2016, and then back in time to 800,000 years before the present.

This is an interactive webtool that allows the user to choose a state or country and both assess how climate has changed over time and project what future changes are predicted to occur in a given area.

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