Earth System Modelling with Galaxy

The Community Earth System Model (CESM) from the National Center for Atmospheric Research is a fully-coupled, community, global climate model allowing state-of-the-art computer simulations of the Earth’s past, present and future climates. The Norwegian Earth System Model (NorESM) builds on it, with...

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Main Authors: , Fouilloux, Iaquinta
Format: Still Image
Language:unknown
Published: Zenodo 2020
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.4047827
https://zenodo.org/record/4047827
id ftdatacite:10.5281/zenodo.4047827
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spelling ftdatacite:10.5281/zenodo.4047827 2023-05-15T18:19:01+02:00 Earth System Modelling with Galaxy , Fouilloux Iaquinta 2020 https://dx.doi.org/10.5281/zenodo.4047827 https://zenodo.org/record/4047827 unknown Zenodo https://zenodo.org/communities/neic https://dx.doi.org/10.5281/zenodo.4047826 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 cesm galaxy eosc nordic Text Poster article-journal ScholarlyArticle 2020 ftdatacite https://doi.org/10.5281/zenodo.4047827 https://doi.org/10.5281/zenodo.4047826 2021-11-05T12:55:41Z The Community Earth System Model (CESM) from the National Center for Atmospheric Research is a fully-coupled, community, global climate model allowing state-of-the-art computer simulations of the Earth’s past, present and future climates. The Norwegian Earth System Model (NorESM) builds on it, with major changes in the aerosol-cloud chemistry (developed at the Meteorological Institute and University of Oslo), the ocean and its biogeochemistry (originally Miami Isopycnic Coordinate Ocean Model and Hamburg Model of Ocean Carbon Cycle, respectively, modified at the University of Bergen, Nansen Environmental and Remote Sensing Center, and Norwegian Research Center AS). In addition schemes are implemented to compute turbulent atmosphere-ocean fluxes, for atmospheric energy and momentum conservation, etc. Basically CESM/NorESM are composed of separate components to simulate the Earth’s atmosphere, ocean, land, river run-off, land-ice, and sea-ice, plus one central coupler/moderator synchronizing exchanges between them. CESM/NorESM make it possible to conduct fundamental research into the biological, geophysical and chemical processes governing the system and to explore socioeconomic scenarios for instance in Coupled Model Intercomparison Projects (CMIPs). Users of CESM/NorESM (or similar models) do not have the same computational resource needs. On the one side production (to simulate hundreds or thousands of years) demand maximum power (in Petaflops range) which only large national and European High-Performance Computers (HPCs) can deliver. On the other side, for model developments, debugging, testing and validation as well as for teaching purposes what matters most is a flexible framework. For post-processing, analysis and visualization of model data, co-location of the tools (Jupyter notebooks, as an example) and data is paramount to avoid transfers. When it comes to collaborations and reproducible research, sine qua non conditions are the possibility of sharing files and using the same run-time environment. Far from competing against HPCs in terms of sheer computing power, Galaxy is nonetheless capable of satisfying the everyday needs of the vast majority of CESM/NorESM users described hereinabove, thereby becoming an asset in environmental research communities. Galaxy/Live with its Interactive Climate JupyterLab offers: a Virtual Laboratory for developing, testing and deploying climate model workflows before they are ready to go in production on larger systems, as well as for training, to instill the fundamentals of the Earth System; a Data analysis platform for analyzing and visualizing Climate data produced by researchers as well as from national and international projects such as CMIP, the Coordinated Regional Downscaling Experiment (CORDEX) and/or Copernicus Climate Change Service (C3S). : EOSC-Nordic project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 857652 Still Image Sea ice DataCite Metadata Store (German National Library of Science and Technology) Bergen
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
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topic climate
cesm
galaxy
eosc
nordic
spellingShingle climate
cesm
galaxy
eosc
nordic
, Fouilloux
Iaquinta
Earth System Modelling with Galaxy
topic_facet climate
cesm
galaxy
eosc
nordic
description The Community Earth System Model (CESM) from the National Center for Atmospheric Research is a fully-coupled, community, global climate model allowing state-of-the-art computer simulations of the Earth’s past, present and future climates. The Norwegian Earth System Model (NorESM) builds on it, with major changes in the aerosol-cloud chemistry (developed at the Meteorological Institute and University of Oslo), the ocean and its biogeochemistry (originally Miami Isopycnic Coordinate Ocean Model and Hamburg Model of Ocean Carbon Cycle, respectively, modified at the University of Bergen, Nansen Environmental and Remote Sensing Center, and Norwegian Research Center AS). In addition schemes are implemented to compute turbulent atmosphere-ocean fluxes, for atmospheric energy and momentum conservation, etc. Basically CESM/NorESM are composed of separate components to simulate the Earth’s atmosphere, ocean, land, river run-off, land-ice, and sea-ice, plus one central coupler/moderator synchronizing exchanges between them. CESM/NorESM make it possible to conduct fundamental research into the biological, geophysical and chemical processes governing the system and to explore socioeconomic scenarios for instance in Coupled Model Intercomparison Projects (CMIPs). Users of CESM/NorESM (or similar models) do not have the same computational resource needs. On the one side production (to simulate hundreds or thousands of years) demand maximum power (in Petaflops range) which only large national and European High-Performance Computers (HPCs) can deliver. On the other side, for model developments, debugging, testing and validation as well as for teaching purposes what matters most is a flexible framework. For post-processing, analysis and visualization of model data, co-location of the tools (Jupyter notebooks, as an example) and data is paramount to avoid transfers. When it comes to collaborations and reproducible research, sine qua non conditions are the possibility of sharing files and using the same run-time environment. Far from competing against HPCs in terms of sheer computing power, Galaxy is nonetheless capable of satisfying the everyday needs of the vast majority of CESM/NorESM users described hereinabove, thereby becoming an asset in environmental research communities. Galaxy/Live with its Interactive Climate JupyterLab offers: a Virtual Laboratory for developing, testing and deploying climate model workflows before they are ready to go in production on larger systems, as well as for training, to instill the fundamentals of the Earth System; a Data analysis platform for analyzing and visualizing Climate data produced by researchers as well as from national and international projects such as CMIP, the Coordinated Regional Downscaling Experiment (CORDEX) and/or Copernicus Climate Change Service (C3S). : EOSC-Nordic project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 857652
format Still Image
author , Fouilloux
Iaquinta
author_facet , Fouilloux
Iaquinta
author_sort , Fouilloux
title Earth System Modelling with Galaxy
title_short Earth System Modelling with Galaxy
title_full Earth System Modelling with Galaxy
title_fullStr Earth System Modelling with Galaxy
title_full_unstemmed Earth System Modelling with Galaxy
title_sort earth system modelling with galaxy
publisher Zenodo
publishDate 2020
url https://dx.doi.org/10.5281/zenodo.4047827
https://zenodo.org/record/4047827
geographic Bergen
geographic_facet Bergen
genre Sea ice
genre_facet Sea ice
op_relation https://zenodo.org/communities/neic
https://dx.doi.org/10.5281/zenodo.4047826
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.4047827
https://doi.org/10.5281/zenodo.4047826
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