Climate JupyterLab as an interactive tool in Galaxy

Lightning talk given at JupyterCon 2020 (online event). By deploying JupyterLab with PANGEO, CESM and ESMValTool conda environments as a new Climate Galaxy interactive tool, we are aiming at bridging the gap between climate scientists and non-climate specialists. Galaxy is an open, web-based platfor...

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Main Authors: Fouilloux, Anne, Tang, Hui, Lieungh, Eva, Geange, Sonya R, Horvath, Peter, Bryn, Anders
Format: Article in Journal/Newspaper
Language:English
Published: Zenodo 2020
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.4543738
https://zenodo.org/record/4543738
id ftdatacite:10.5281/zenodo.4543738
record_format openpolar
spelling ftdatacite:10.5281/zenodo.4543738 2023-05-15T12:59:49+02:00 Climate JupyterLab as an interactive tool in Galaxy Fouilloux, Anne Tang, Hui Lieungh, Eva Geange, Sonya R Horvath, Peter Bryn, Anders 2020 https://dx.doi.org/10.5281/zenodo.4543738 https://zenodo.org/record/4543738 en eng Zenodo https://zenodo.org/communities/neic https://dx.doi.org/10.5281/zenodo.4543739 https://zenodo.org/communities/neic Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY climate jupyterlab galaxy eosc eosc-nordic MediaObject article Audiovisual 2020 ftdatacite https://doi.org/10.5281/zenodo.4543738 https://doi.org/10.5281/zenodo.4543739 2021-11-05T12:55:41Z Lightning talk given at JupyterCon 2020 (online event). By deploying JupyterLab with PANGEO, CESM and ESMValTool conda environments as a new Climate Galaxy interactive tool, we are aiming at bridging the gap between climate scientists and non-climate specialists. Galaxy 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 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 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, CESM and ESMValTool 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, 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 : The EOSC-Nordic project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 857652. Article in Journal/Newspaper Abisko DataCite Metadata Store (German National Library of Science and Technology) Abisko ENVELOPE(18.829,18.829,68.349,68.349)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic climate
jupyterlab
galaxy
eosc
eosc-nordic
spellingShingle climate
jupyterlab
galaxy
eosc
eosc-nordic
Fouilloux, Anne
Tang, Hui
Lieungh, Eva
Geange, Sonya R
Horvath, Peter
Bryn, Anders
Climate JupyterLab as an interactive tool in Galaxy
topic_facet climate
jupyterlab
galaxy
eosc
eosc-nordic
description Lightning talk given at JupyterCon 2020 (online event). By deploying JupyterLab with PANGEO, CESM and ESMValTool conda environments as a new Climate Galaxy interactive tool, we are aiming at bridging the gap between climate scientists and non-climate specialists. Galaxy 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 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 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, CESM and ESMValTool 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, 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 : The EOSC-Nordic project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 857652.
format Article in Journal/Newspaper
author Fouilloux, Anne
Tang, Hui
Lieungh, Eva
Geange, Sonya R
Horvath, Peter
Bryn, Anders
author_facet Fouilloux, Anne
Tang, Hui
Lieungh, Eva
Geange, Sonya R
Horvath, Peter
Bryn, Anders
author_sort Fouilloux, Anne
title Climate JupyterLab as an interactive tool in Galaxy
title_short Climate JupyterLab as an interactive tool in Galaxy
title_full Climate JupyterLab as an interactive tool in Galaxy
title_fullStr Climate JupyterLab as an interactive tool in Galaxy
title_full_unstemmed Climate JupyterLab as an interactive tool in Galaxy
title_sort climate jupyterlab as an interactive tool in galaxy
publisher Zenodo
publishDate 2020
url https://dx.doi.org/10.5281/zenodo.4543738
https://zenodo.org/record/4543738
long_lat ENVELOPE(18.829,18.829,68.349,68.349)
geographic Abisko
geographic_facet Abisko
genre Abisko
genre_facet Abisko
op_relation https://zenodo.org/communities/neic
https://dx.doi.org/10.5281/zenodo.4543739
https://zenodo.org/communities/neic
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.4543738
https://doi.org/10.5281/zenodo.4543739
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