This NASA visualization shows sea surface salinity observations (September 2011-September 2014). Students review the video and answer questions.
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Students review a video showing how the ocean is warmed by solar energy. This is the first video of a four-part series on the water cycle, which follows the journey of water from the ocean to the atmosphere, to the land, and back again to the ocean.
This tutorial explains how to download data from the My NASA Data Earth System Data Explorer and import it into Google Sheets.
The My NASA Data visualization tool, Earth System Data Explorer (ESDE), helps learners visualize complex Earth System data sets over space and time. Visit this page to review the datasets we have available to you and their organization by Earth System sphere, science variable, dataset name, and start/end dates.
The My NASA Data visualization tool, Earth System Data Explorer (ESDE), helps learners visualize complex Earth System data sets over space and time. Visit this page to review the datasets we have available to you and their organization by Earth System sphere, science variable, dataset name, and start/end dates.
Do you need tools to help using the Earth System Data Explorer? MND offers several ways to learn more about how to use this data visualization tool.
Space weather refers to the conditions of the space environment driven by the Sun and its impacts on objects in the solar system. Though it is almost 100 million miles away from Earth, the Sun influences our daily lives in ways you may not realize.
Earth is made up of five major parts or subsystems: the Atmosphere, Hydrosphere, Biosphere, Cryosphere, and Geosphere. Each major part is connected to the other parts in a complex web of processes.
We often take the Biosphere, especially its plants and trees, for granted; however, this important sphere also supports almost every aspect of our lives.
The Earth System Satellite Images help students observe and analyze global Earth and environmental data, understand the relationship among different environmental variables, and explore how the data change seasonally and over longer timescales.