Students construct explanations about Earth’s energy budget by connecting a model with observations from side-by-side animations of the monthly mapped data showing incoming and outgoing shortwave radiation from Earth’s surface.
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Students identify patterns and describe the relationship between chlorophyll concentration and incoming shortwave radiation.
Examine (daytime) surface temperature and solar radiation received at locations found near similar latitudes using NASA Data.
Students review a visualization showing a global view of the top-of-atmosphere longwave radiation from January 26 and 27, 2012. They review the supporting text and analyze the data in the visualization to answer questions.
This mini lesson engages students by watching a NASA video related to seasonal chlorophyll concentration as it relates to net radiation using NASA's Aqua satellite. Students will examine the model and answer the questions.
Students will analyze a graph showing the amounts of peak energy received at local noon each day over the year changes with different latitudes.
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.
The Earth System Satellite Images, along with the Data Literacy Cubes, help the learner determine relationships among variables.
Teachers, are you looking for resources to help you engage students in data analysis related to Global Phytoplankton Distribution?
Check out the monthly 2018 images featuring two science variables related to Phytoplankton Distribution: Chlorophyll Concentration (milligrams per cubic meter) & Monthly Flow of Energy into Surface by Shortwave Radiation (watts per square meter)