The Open Global Glacier Model (http://oggm.org) is an open source modelling framework, helping various research groups to simulate and understand mountain glacier change at the regional or global scale. OGGM is modular, which means that we encourage users to develop their own physical parameterizations while staying compatible with the OGGM workflow. To achieve this goal, we need OGGM to be easy to understand, install, apply, and extend. In this presentation, I will talk about how we make use of the wealth of open-source tools available in the python and Jupyter ecosystems to provide an online documentation platform for OGGM. Our documentation combines text with interactive examples that run in your web browser, avoiding the typical installation and data download burden for newcomers. With selected examples from the collaborative educational content platform OGGM-Edu (http://edu.oggm.org), I will show how anyone can apply these ideas and tools to their own documentation or outreach project. Finally, I will talk about some of the challenges faced by the OGGM project in its pursuit of becoming a community model. With the increasing pressure on geoscientists who have to learn new complex technologies while navigating the “publish or perish” career model, the growing demand for better open science practices can be a blessing as well as a curse for many early career scientists.

Glaciers are major contributors to global sea level change and regional freshwater resources. In light of the worldwide societal importance of glacier change, we see a need for accessible glacier-education materials in many languages. We have developed a set of Jupyter notebooks, available in both Spanish and English, that coaches users through basic simulations with the Open Global Glacier Model (edu.oggm.org). The notebooks are freely available via GitHub (github.com/ehultee/CdeC-glaciologia), with no special software installation requirements for users. Participants in a week-long glaciology workshop at Clubes de Ciencia Peru 2019 used our notebooks to study glacier physics and make future projections for mountain glaciers of their choice. Only one participant had previously used Python, and none had experience with numerical modelling of Earth systems in any language. All were able to run the notebooks and explain their findings. Most participants were also able to modify the notebooks to conduct experiments of interest to them. We consider this a particularly successful case of science outreach, in that workshop participants are now equipped to explore their own important questions independently. The notebooks we have developed can support multilingual glaciology outreach; we hope that sharing our experience can support public geoscience more broadly.