This NASA visualization shows sea surface salinity observations (September 2011-September 2014). Students review the video and answer questions.

This mini-lesson features time-series graphs of mean salinity at the surface for the Arctic and Antarctic regions. A series of questions guides students in their analysis.

In this mini lesson, students use in-water profiles of historical ocean data to analyze how sea surface salinity varies with depth. 

Students will identify and describe the relationship between land cover classification and surface temperature as they relate to the urban heat island effect. Students will also describe patterns between population density and the locations of urban heat islands. 

Students observe the surface temperatures of a variety of surface types found in a suburban environment.

Students interpret a graph of surface temperatures taken from city districts and other types of communities.

What is the hydrosphere and why is it important?

A model analyst develops models to help visualize, observe, and predict complicated data. Model analysis is the process of taking large amounts of data and separate it into a structure that makes it intelligible to the binary process of computers. An analyst also manages the flow of information between different user groups through the use of relational databases.

Students will examine a 2014-2015 El Niño Southern Oscillation (ENSO) event to identify relationships among sea surface height, sea surface temperature, precipitation, and wind vectors.

Meet Dr. Jessica Meir, a NASA Research Scientist & Astronaut, by reading an interview with Forbes Magazine describing how she got her start as a marine biologist.