Great Lakes Snow Analysis Collaborative Network

Evaluate global temperature anomalies using real-world data from NASA! Climatologists analyze a data set using a literacy cube and differentiated question sheets. Team members evaluate global temperature anomaly data with basic...

Could the seasons be changing? Using National Park data, learners recognize patterns in the growth of seasonal plants. They look specifically at the first bloom date of cherry blossoms in Washington DC and compare them to temperature...

Follow a fabulous slide show on how monsoons form and how satellite technology is being used to observe the phenomena, explaining why they occur. Afterward, visit the TRMM (Tropical Rainfall Measuring Mission) website to access actual...

What better way to make predictions about future weather and climate patterns than with actual climate data from the past? Young climatologists analyze data from 400,000 to 10,000 years ago to determine if climate has changed over time....

Understanding energy usage requires knowing more than how much energy it takes to charge your cell phone. Scholars learn each text sent uses energy as does each video, game, and phone call. They observe the larger grid of data transfers...

Why do we need renewable energy resources? Discuss the energy crisis with your middle and high school classes through interpreting informational texts. An engaging video and a worksheet accompany this plan. 

Students obtain remote sensing data to compare and contrast global biomass data with global temperature data.

Students explore satellite data and graphing. In this weather data analysis math and science lesson, students analyze NASA satellite data to draw conclusions about geographical areas where precipitation might have happened. Students...

Young scholars study practical data analysis within the constraints of the scientific method.  In this data lesson students collect and enter data into a computer spreadsheet then create graphs.

Students use the Live Access Server (LAS) to form maps and a numerical text file of snow cover for each continent on a particular date and analyze the data for each map, corresponding text file to determine an estimate of snow cover for...