Students will analyze surface temperature and solar radiation data to construct explanations about the relationship of seasons and temperature to the amount of solar energy received on Earth’s surface.
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Examine (daytime) surface temperature and solar radiation received at locations found near similar latitudes using NASA Data.
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.
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.
Students review Earth System phenomena that are affected by soil moisture. They analyze and evaluate maps of seasonal global surface air temperature and soil moisture data from NASA satellites. Building from their observations, students will select a location in the U.S.
Students move through a series of short activities to explore and evaluate global solar radiation data from NASA satellites. In this process, students make qualitative and quantitative observations about seasonal variations in net energy input to the Earth System.
Be a Scientist: The GLOBE Program encourages you to use GLOBE data to help answer questions about how the environment works. Through research projects, you can answer your own science questions by creating hypotheses, analyzing data, drawing conclusions, and sharing your results. Scientific projects that you conduct and that include the use of GLOBE data or protocols can be submitted by your teacher for publication on this GLOBE website. By sharing your findings with the rest of the world you are completing the scientific process.
Students explore the spatial patterns observed in meteorological data and learn how this information is used to predict weather and understand climate behavior.
Students analyze a graph that illustrates the change in global surface temperature relative to 1951-1980 average temperatures.