The four lessons in this unit build toward a student understanding of each component of the energy budget formula - and how the contribution of each component changes due to location and time of year. In order, the four lessons consist of: deriving... (View More) the formula for Earth’s energy budget, analyzing data from NASA’s CERES instrument, learning to code using the RStudio program, and using RStudio to explore and evaluate the energy budgets of specific locations and seasons. The unit includes a pre/post test; each lesson follows the 5E model and contains worksheets with answer keys. (View Less)

Emphasizing the synergies between science and engineering, these video clips highlight the research of professional ocean scientists and engineers in various disciplines. The clips are accompanied by additional relevant content including images,... (View More) data visualizations, graphs, animations, and other information. Content has been organized into more than a dozen thematic areas such as Solving Old Problems with New Technology and Small Scale Observations and Large Scale Ideas. All content has been aligned with science and engineering practices from the Next Generation Science Standards, including "asking questions and solving problems" and "planning and carrying out investigations," providing applicable resources for teachers who want to provide role models of effective practice for their students. (View Less)

This set of three videos illustrates how math is used in satellite data analysis. NASA climate scientist Claire Parkinson explains how the Arctic and Antarctic sea ice covers are measured from satellite data and how math is used to determine trends... (View More) in the data. In the first video, she leads viewers from satellite data collection through obtaining a time series of monthly Arctic and Antarctic average sea ice extents for November 1978-December 2016. In the second video, she begins with the time series from the first video, removes the seasonal cycle by calculating yearly averages, and proceeds to calculate the slopes of the lines to get trends in the data, revealing decreasing sea ice coverage in the Arctic and increasing sea ice coverage in the Antarctic. In the third video, she uses a more advanced technique to remove the seasonal cycle and shows that the trends are close to the same, whichever method is used. She emphasizes the power of math and that the techniques shown for satellite sea ice data can also be applied to a wide range of data sets. Note: See Related & Supplemental Resources for the maps and data files (1978-2016) that will allow you to do the calculations shown in the video. These also include data for different regions of the Arctic and Antarctic, enabling learners to do additional calculations beyond those shown in the videos. (View Less)

This worksheet introduces students to the Aura satellite and its Ozone Monitoring Instrument (OMI). Students are asked to visit the Aura website and examine OMI data visualizations to learn about emissions of atmospheric gases such as sulfur... (View More) dioxide, nitrogen oxide and nitrogen dioxide. Students gain experience interpreting OMI data visualizations and are asked to consider implications for climate and human health. (View Less)