Teachers, are you looking for resources to help you engage students in data analysis related to changes in the cryosphere using albedo values? Check out these images.
Teachers, are you looking for resources to help you engage students in data analysis related to changes in the cryosphere using albedo values? Check out these images.
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.
This graphic organizer may be used to help students analyze the processes and components of Earth System phenomena.
This mini lesson helps students visualize how the Hydrosphere and Cryosphere interact to produce changes in land and sea ice.
This activity invites students to simulate and observe the different effects on sea level from melting sea-ice.
This activity invites students to model and observe the effect of melting ice sheets (from land) on sea level and the difference between the effect of melting sea-ice to that of melting land ice on sea level.
Arctic sea ice is the cap of frozen seawater blanketing most of the Arctic Ocean and neighboring seas in wintertime. It follows seasonal patterns of thickening and melting. Students view how the quantity has changed from 1979 through 2018.
Students watch the video Frozen Earth and answer the following questions that discuss how ice helps moderate the planet's temperature using NASA satellites.
In this lesson, students will investigate the drivers of climate change, including adding carbon dioxide and other greenhouse gases to the atmosphere, sea level rise, and the effect of decreasing sea ice on temperatures.
Students analyze two North Pole orthographic data visualizations produced from soil moisture data. After describing trends in the seasonal thaw of land surfaces, students demonstrate their understanding of Earth’s energy budget by explaining relationships and make predictions about the dataset.