This activity will help students better understand and practice estimating percent cloud cover.

Learn about the different cloud types and their names. Match cloud photos and names by cloud type and for all types. Evaluate the types of clouds represented in various data displays.

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. 

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

The Earth System Satellite Images, along with the Data Literacy Cubes, help the learner visualize how different Earth system variables change over time, identify patterns, and determine relationships among two variables in three months.

The Earth System Satellite Images, along with the Data Literacy Cubes, help the learner visualize how different Earth system variables change over time, establish cause and effect relationships, identify patterns, and determine relationships among variables.  

NASA visualizers take data – numbers, codes – and turn them into animations people can see and quickly understand.

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.

The Earth System Satellite Images, help the learner visualize how different Earth system variables change over time, establish cause and effect relationships for a specific variable, identify patterns, and determine relationships among variables over one year.

The Earth System Satellite Images, along with the Data Literacy Cubes, help the learner determine relationships among variables.