2021 ESIP Winter Meeting

Adoption and implementation of computational technologies along with the concepts of data science and machine learning have seen a steady acceptance and increase over the past decade in the field of Earth Science. One such technology at the forefront is the Jupyter Notebook.
Jupyter Notebook, an open-source web-based application, allows creation and sharing of documents containing code, results and accompanying documentation. Work in Notebooks is predominantly performed with R and Python, though many other languages are available. Jupyter Notebooks provide an interactive console-based approach making it easier for colleagues to understand the code, results, and goals.

This session encourages submissions of adoption, usage and current benefits, as well as, the use of Jupyter Notebooks as a method for publications and the potential benefits from such an endeavor. This direction aims to explore the usefulness of the reproducibility and replicability of experiments performed in Notebooks. The goal of this session is to highlight the importance and significant impact Jupyter Notebooks has had on projects and research so far and how taking it a step further by incorporating it as a form/format of publications will help in addressing the obstacles faced by scientists and readers alike when attempting to understand the experiments carried out in publications or when re-running an experiment following the methods in publications.