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Analyzing monthly environmental data from the North Atlantic Ocean will help you to learn more about how the water cycle affects sea surface salinity. Your challenge is to find the data set that most closely corresponds to sea surface salinity patterns.
This investigation is part of the NASA: Mission Geography Module "What are the causes and consequences of climate change?" that guides students through explorations in climatic variability and evidence for global climate change.
Students will examine a 2014-2015 El Nino Southern Oscillation (ENSO) event to identify relationships among sea surface height, sea surface temperature, precipitation, and wind vectors.
Please consider using this graphic organizer to help students analyze the processes and components of Earth System phenomena.
Scientific data are often represented by assigning ranges of numbers to specific colors. The colors are then used to make an images which allow us to see patterns more easily. Students will make a false color image using a set of numbers.
Information from satellites if often used to display information about objects. This information can include how things appear, as well as their contents. Explore how pixel data sequences can be used to create an image and interpret it.
A Data Support Specialist works with the user community to understand their science needs with the goal of providing support for NASA data and information services. They represent the user in product
At the core of scientific visualization is the representation of data graphically - through images, animations, and videos - to improve understanding and develop insight.
Mechanical engineers design, develop, build, and test mechanical and thermal sensors and devices including tools, engines, and machines.