Students analyze historic plant growth data (i.e., Peak Bloom dates) of Washington, D.C.’s famous cherry blossom trees, as well as atmospheric near surface temperatures as evidence for explaining the phenomena of earlier Peak Blooms in our nation’s capital.

The volume of data in a single file or file system can be described by a unit called a byte. However, data volumes can become very large when dealing with Earth satellite data. Below is a table to explain data volume units (Credit:  Roy Williams, Center for Advanced Computing Research at the California Institute of Technology).

Students will observe monthly satellite data of the North Atlantic to identify relationships among key science variables that include sea surface salinity (SS), air temperature at the ocean surface (AT), sea surface temperature (ST), evaporation (EV), precipitation (PT), and evaporation minus pre

Students model Earth's tectonic plate movement and explore the relationship between these movements and different types of volcanoes.

Students can interact with NASA data to build a custom visualizations of local, regional, or global plant growth patterns over time, using the Earth System Data Explorer to generate plots of satellite data as they develop models of this phenomenon.

Students will analyze the monthly seasonal chlorophyll concentration images in our global oceans for the four different months of 2017, and then answer the following questions.

Explore and connect to the GLOBE Water Cycle protocol bundle. 

In this activity, students will use sea-level rise data to create models and compare short-term trends to long-term trends. They will then determine whether sea-level rise is occurring based on the data.

GLOBE protocols and learning activities that complement the El Niño Southern Oscillation phenomenon through hands-on investigations are detailed.