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.
Educational Resources - Search Tool
Learn how Dr. Anyamba, Research Scientist at NASA Goddard Space Flight Center, Biospheric Sciences Laboratory explore how Earth's Biosphere and Geosphere respond to climate variability.
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.
The activities in this guide will help students understand variations in environmental parameters by examining connections among different phenomena measured on local, regional and global scales.
NASA visualizers take data – numbers, codes – and turn them into animations people can see and quickly understand.
Remote sensing scientists use sensors to analyze data and solve regional, national and global concerns. For instance, natural resource management, urban planning, and climate and weather prediction are applications of remote sensing. Many scientists develop new sensor systems, analytical techniques, or new applications for existing systems.
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.
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.