This lesson explores El Nino by looking at sea surface temperature, sea surface height, and wind vectors in order to seek out any correlations there may be among these three variables, using the My NASA Data Live Access Server. The lesson guides the students through data representing the strong El Nino from 1997 to 1998. In this way, students will model the methods of researchers who bring their expertise to study integrated science questions.
Activity in which students investigate what causes the seasons by doing a series of kinesthetic modeling activities and readings. Activity includes educator background information about how to address common misconceptions about the seasons with students.
This video shows 15 years of data obtained via Polar-orbiting satellites that are able to detect subtle differences in ocean color, allowing scientists to see where there are higher concentrations of phytoplankton - a proxy for the concentration of chlorophyll in the ocean.
This video features University of Wisconsin-Madison researcher John Magnuson, who studies the ecology of freshwater systems. He explains the difference between weather and climate using data on ice cover from Lake Mendota in Madison, WI. Analysis of the data indicates a long-term trend that can be connected to climate change.
With this carbon/temperature interactive model, students investigate the role of atmospheric carbon in the greenhouse effect using a relationship between atmospheric carbon dioxide and global temperature.
In this lesson, students explore several facets of the impact of volcanic eruptions on the atmosphere. Students analyze three types of visual information: a graph of aerosol optical depth v. global temperature, a global map with temperature anomalies, and an ash plume photograph. In the hands-on activity, students use math to determine the rate and estimated time of arrival of an ash plume at an airfield.
In this classroom activity, students analyze visualizations and graphs that show the annual cycle of plant growth and decline. They explore patterns of annual change for the globe and several regions in each hemisphere that have different land cover and will match graphs that show annual green-up and green-down patterns with a specific land cover type.