Understanding and predicting the weather is vitally important to 21st-century data scientists and farming communities alike. This grant project leverages this natural connection between weather prediction and farming and empowers participants with the knowledge to launch, track and recover low-cost, do-it-yourself weather balloons.
In EAS 5555 Numerical Techniques for Weather and Climate Modeling, Cornell students have opportunities to collect data to improve regional weather forecasts. They also contribute to STEM learning in the region by cultivating an online community of practice around launching and recovering balloons, introducing high school students to these skills and launching weather balloons from the Paleontological Research Institute’s Museum of the Earth during public, live-streamed events.
- Toby Ault, Department of Earth and Atmospheric Sciences
College of Agriculture and Life Sciences; College of Engineering
- Danielle Eiseman, Department of Communication
College of Agriculture and Life Sciences
- Michael Hojnowski, Systems Engineer
Cornell Information Technologies
- Community partner: Paleontological Research Institution
- Toby Ault, Department of Earth and Atmospheric Sciences
College of Agriculture and Life Sciences; College of Engineering
- Danielle Eiseman, Department of Communication
College of Agriculture and Life Sciences
- Michael Hojnowski, Systems Engineer
Cornell Information Technologies
- Community partner: Paleontological Research Institution
Funding teams that are integrating community-engaged learning into new and existing curricula