Students investigate the effects of Hurricane Sandy and make a scale model of the storm over the continental United States to assess the area of impact.

Data scientists work with data captured by scientific instruments or generated by a simulator, as well as data that is processed by software and stored in computer systems. They work with scientists to analyze databases and files using data management techniques and statistics. From changes in sea level,  atmospheric composition, or land use, data scientists help make sense of the petabytes of data that NASA collects and stores.

Worldview is a valuable resource in understanding information about the atmosphere. Learn how to access models in order to answer your own questions.

In this 5E’s lesson, students observe maps that show smoke and AOD levels surrounding Fresno, California at the time when the 2020 Creek Fire was burning. Students construct a claim that identifies a relationship between fire-related data and air quality data.

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. 

In this NASA-JPL lesson, students create a model of a volcano, produce and record lava flows, and interpret geologic history through volcano formation and excavation. 

This USGS activity leads students to an understanding of what remote sensing means and how researchers use it to study changes to the Earth’s surface, such as deforestation. 

Scientists and engineers use mathematics and quantitative thinking to representing variables, behaviors, and their relationships. Mathematics is used to create models and simulations; statistically analyze data; and recognize, communicate, and look for relationships with other variables.

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.