Students compare climographs for two locations to determine the most likely months to expect the emergence of mosquitoes in each location.
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Students explore the spatial patterns observed in meteorological data and learn how this information is used to predict weather and understand climate behavior.
In this activity students will compare different methods for observing the Sun’s corona and make predictions about what they will observe during the April 8, 2024 total solar eclipse.
Students are divided into three different groups and are assigned a category of drivers of change in regional trends of freshwater storage (Climate Change, Human Activity, and Natural Variability).
In this activity, students investigate three different soil samples with varying moisture content. They use a soil moisture probe to determine the percentage (by volume) of water in each of the soil samples.
This story map allows students to explore the urban heat island effect using land surface temperature and vegetation data in a 5 E-learning cycle. Students investigate the processes that create differences in surface temperatures, as well as how human activities have led to the creation of urban heat islands.
This activity invites students to simulate and observe the different effects on sea level from melting sea-ice.