Drifter data in the classroom with Jupyter notebooks
Mentors:
Samantha Ouertani and Rayne Sabatello
Samantha Ouertani is a Research Associate III at the University of Miami’s Cooperative Institute of Marine and Atmospheric Studies and NOAA’s AOML. She is a part of the Global Drifter Program’s Data Assembly Center (DAC), managing an ERDDAP server for drifter data. She also develops scripts to validate quality controlled data and support the DAC's data processing needs.
Rayne Sabatello is a Senior Research Associate I at the University of Miami’s Cooperative Institute of Marine and Atmospheric Studies who works as the Communications Specialist for the Physical Oceanography division at NOAA's AOML. She specializes in science communication through writing, social media, and web development.
Format:
Hybrid
Brief description:
The student will develop a suite of Jupyter Notebooks (Python-based) to visualize drifter data for classrooms taking part in NOAA's Adopt a Drifter Program. For example, a script that can plot the seasonal shifts in sea surface temperature. Scripts will need to vary in education level, i.e. elementary school, middle school, high school, undergraduate audiences. The student will also create accompanying lesson plans for the Jupyter Notebook scripts. The selected candidate will learn the value of drifter data, effective coding practices, as well as educational directives by following the Next Generation Science Standards for the lesson plans.
Prospective applicants should have previous coding experience and/or willingness to learn Python, the ability to work independently with limited supervision while communicating with a team, and be equipped with proficient troubleshooting, time management, teamwork, and communication skills.
