The advance-and-retreat cycle of snow cover drastically changes the whiteness and brightness of Earth. Using two maps created using NASA satellite data for 2017, students review the seasonal differences of snow and ice extent and answer questions on their observations.
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Students will learn about and describe the different classifications of Air Quality Index and the importance of standards in air quality monitoring. Students will also use scientific evidence and reasoning to support a claim about long-term trends in air quality in the United States.
Students will review the sources of the six criteria pollutants for which the EPA has established standards for and describe their impacts on human health and the environment.
Students will analyze how air pollution may be transported over time. Students will also differentiate between sources of air pollution and describe how air pollution interacts with the Earth System.
Students will analyze and describe the relationship between air pollution and minority and poverty populations. Students will evaluate environmental problems in relation to social inequalities.
In this story map students will learn about what air pollution is, its environmental impact, the standards used to describe air quality as defined by the Clean Air Act, and the Earth System interactions that drive the transport of air pollution.
Students analyze historic plant growth data (i.e., Peak Bloom dates) of Washington, D.C.’s famous cherry blossom trees, as well as atmospheric near surface temperatures as evidence for explaining the phenomena of earlier Peak Blooms in our nation’s capital.
Students watch a visualization video and answer questions on the potential of increasing megadroughts in the southwest and central United States from 1950-2095 using models created by soil moisture data.
The Earth System Satellite Images, along with the Data Literacy Cubes, help the learner determine relationships among variables.
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.