This mini lesson focuses on the 2015-2016 El Niño event and how its weather conditions triggered regional disease outbreaks throughout the world. Students will review a NASA article and watch the associated video to use as a tool to compare with maps related to 2015-2016 rainfall and elevated disease risk, and answer the questions.

Students examine the two time series images to determine the differences between seasonal ice melt over water versus land.

Examine (daytime) surface temperature and solar radiation received at locations found near similar latitudes using NASA Data.

In this lesson, students will investigate the drivers of climate change, including adding carbon dioxide and other greenhouse gases to the atmosphere, sea level rise, and the effect of decreasing sea ice on temperatures.

This activity is one of a series in the collection, The Potential Consequences of Climate Variability and Change activities. 

In this activity, students use satellite images from the NASA Landsat team to quantify changes in glacier cover over time from 1986 to 2018. 

Students review Earth System phenomena that are affected by soil moisture.  They analyze and evaluate maps of seasonal global surface air temperature and soil moisture data from NASA satellites. Building from their observations, students will select a location in the U.S.

Guided by the 5E model, this lesson allows students to work together to uncover how changes in sea ice extent in the Arctic and Antarctic regions are connected to Earth’s energy budget.

Elizabeth Forsbacka is an instrument manager. She leads a diverse team to design, build and test Earth or space science instruments. She says "My job is to build a good team that can do it all. Our work from design through delivery of the spacecraft usually takes about four years." See what it's like to work on this sort of project.

The extreme temperatures during July 2022 prompt students to investigate a model that displays historical heat wave frequency data to discover the importance of defining terms when interpreting data.