This StoryMap lesson plan allows students to explore ocean circulation patterns as they relate to the world's ocean garbage patches using NASA ocean currents data. Students will investigate the forces that contribute to ocean circulation patterns, and how debris, especially plastics, travel from land to the garbage patches. 

Students will observe monthly satellite data of the North Atlantic to identify relationships among key science variables that include sea surface salinity (SS), air temperature at the ocean surface (AT), sea surface temperature (ST), evaporation (EV), precipitation (PT), and evaporation minus pre

Read about Abigale Wyatt's great adventure as she travels on the R/V Sally Ride for a month-long cruise to study how plankton in the ocean affect the carbon cycle and, ultimately, the climate.

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.

Since 1997 I have been the Physical Oceanography Program Scientist at NASA Headquarters AND I am a dedicated sea-going oceanographer.  It stills feels kind of crazy what comes around in life.  I write my short career biography here for students who may consider working in oceanography or for NASA or both.

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

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.

At the core of scientific visualization is the representation of data graphically - through images, animations, and videos - to improve understanding and develop insight. Data visualizers develop data-driven images, maps, and visualizations from information collected by Earth-observing satellites, airborne missions, and ground measurements. Visualizations allow us to explore data, phenomena and behavior; they are particularly effective for showing large scales of time and space, and "invisible" processes (e.g. flows of energy and matter) as integral parts of the models.

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 development and development resources to assist with the user community's needs.  This person works directly with users to solve problems using NASA data, or to provide resources to improve understanding of the data.