Examine (daytime) surface temperature and solar radiation received at locations found near similar latitudes using NASA Data.

Students will analyze and interpret graphs to compare the flow of (shortwave) energy from the Sun toward China over the course of a year on cloudy versus clear days. Students will draw a conclusion and support it with evidence.

Explore and connect to the GLOBE Weather protocol bundle. 

Ricky is a Software Engineer who works for the NASA Clouds and the Earth's Radiant Energy System (CERES) Project with the group that specializes in clouds.  He develops software to ensure that the satellite data collected about clouds are accurate and accessible. 

Dr. Stackhouse uses satellite observations of the Earth-atmosphere system from multiple sources to study Earth’s global energy cycle, especially the processes that cause variability from global to regional scales. Dr. Stackhouse also develops new data products and data systems to help analyze these processes and more efficiently understand and use renewable energy sources.

Students will analyze and interpret maps of the average net atmospheric radiation to compare the flow of energy from the Sun toward Earth in different months and for cloudy versus clear days. Students will draw conclusions and support them with evidence.

Geospatial Information Scientists and Technologists research geospatial data or develop geospatial technologies. Geospatial data is data that has a geographic component associated with it, such as coordinates or an address, and geospatial technologies are the technologies used to collect and analyze geospatial data. 

Read this interview with Kristopher Bedka to find out more about life as a Senior Research Scientist at NASA.

Charles Gatebe is a climate scientist who studies reflected sunlight to improve our understanding of the composition of the atmosphere and surface properties, including land and ocean, and impact on Earth's radiation budget and climate. Learn about how he conducts experiments and uses data from around the world.

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.