Teaching Atmospheric Chemistry through Interactive Computational Modeling: An Innovative Approach with JupyterHub, JupyterLab, and BOXMOX
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This article presents an innovative methodology for teaching atmospheric chemistry at the undergraduate level through interactive computational modeling. Using tools such as JupyterHub/JupyterLab, BOXMOX, and AWK/Python scripts, students simulate urban emission scenarios and meteorological variations to analyze tropospheric ozone formation, the role of nitrogen oxides (NOx), and their interaction with volatile organic compounds (VOCs). The exercises consider changes in both emissions and meteorological conditions to assess ozone sensitivity to these factors. Students apply computational tools and present simulation results, fostering group discussions that reinforce theoretical knowledge. The methodology demonstrates that accessible computational tools promote active learning, develop computational thinking, address real-world problems such as urban pollution, and facilitate self-assessment and collaborative analysis. Implemented in the Bachelor’s program in Earth Sciences, this approach prepares students to tackle environmental challenges with scientific rigor and modern technologies.
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References
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