Explore the spatial patterns observed in meteorological data and learn how this information is used to predict weather and understand climate behavior. By observing patterns in data we can classify our observations and investigate underlying cause and effect relationships.
List of all Cryosphere Mini Lessons
This mini lesson helps students visualize how the Hydrosphere and Cryosphere interact to produce changes in land and sea ice.
The Earth's system is characterized by the interaction of processes that take place on molecular (very small) and planetary (very large) spatial scales, as well as on short and long time scales.
Students analyze four data visualizations focused on the topic of sea level. They use a jigsaw method to explore and communicate their findings to their peers.
The radar measurements made by NASA's Soil Moisture Active Passive (SMAP) observatory are sensitive to whether land surfaces are frozen or thawed. Students analyze two maps of SMAP data to make inferences about changes to the Arctic's Geosphere showing spring thaw.
The advance-and-retreat cycle of snow cover drastically changes the whiteness and brightness of Earth. Using these two 2017 maps created using NASA satellite data, have students review the seasonal differences of snow and ice extent.
Scientific data are often represented by assigning ranges of numbers to specific colors. The colors are then used to make false color images which allow us to see patterns more easily.
The Eyjabakkajökull Glacier is an outlet glacier of the Vatnajökull ice cap in Iceland that has been retreating since a major surge occurred in 1973. Students analyze these maps to identify the scale and rate of change of the glacier loss.
Information from satellites if often used to display information about objects. This information can include how things appear, as well as their contents. Explore how pixel data sequences can be used to create an image and interpret it.
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.