Climate JupyterLab as an interactive tool in Galaxy

Galaxy (https://galaxyproject.org/) is an open, web-based platform for accessible, reproducible, and transparent computational research. One of the strength of Galaxy is that it does not require programming experience and allow researchers to easily upload data, run complex tools and workflows in a reproducible manner, and visualize results. Galaxy Climate (https://climate.usegalaxy.eu/) is quite new and aims at offering tools to everyone interested in Climate Science so that they can analyse and visualize climate data produced by climate scientists. However, climate scientists and in particular climate modellers have very different working practices: they often like to use command lines for running climate models and thanks to the PANGEO (http://pangeo.io/) community (a community platform for Big Data geoscience) the Jupyter ecosystem has become very popular with several deployments of JupyterHubs dedicated to climate data analysis. By deploying JupyterLab with PANGEO (http://pangeo.io/), CESM (http://www.cesm.ucar.edu/) and ESMValTool (https://www.esmvaltool.org/) conda environments as a new Climate Galaxy interactive tool (https://live.usegalaxy.eu/?tool_id=interactive_tool_climate_notebook), we are aiming at bridging the gap between climate scientists and non-climate specialists. On this poster, we will show typical use cases both for research (https://nordicesmhub.github.io/eosc-nordic-climate-demonstrator/02-use-cases/) and for teaching (https://nordicesmhub.github.io/NEGI-Abisko-2019/intro). This work is funded by EOSC-Nordic (https://www.eosc-nordic.eu/), a European project to foster & advance the take-up of the European Open Science Cloud in the Nordic and Baltic countries.

Github: https://github.com/NordicESMhub/docker-climate-notebook