Data for the article "Toward Exascale Climate Modelling: A Python DSL Approach to ICON's (Icosahedral Non-hydrostatic) Dynamical Core (icon-exclaim v0.2.0)"

This archive contains post-processed data used to generate figures in the submitted manuscript "Towards Exascale Climate Modelling: A Python DSL approach to ICON's (Icosahedral non-hydrostatic) Dynamical core (icon-exlcaim v0.2.0)"

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-11
DOI
https://doi.org/10.5281/zenodo.17317423
Primary Topic
Genetic factors in colorectal cancer
Type
article
Field-Weighted Citation Impact
0.00
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article

Data for the article "Toward Exascale Climate Modelling: A Python DSL Approach to ICON's (Icosahedral Non-hydrostatic) Dynamical Core (icon-exclaim v0.2.0)"

Zenodo (CERN European Organization for Nuclear Research)
Genetic factors in colorectal cancer
article

Data for the article "Toward Exascale Climate Modelling: A Python DSL Approach to ICON's (Icosahedral Non-hydrostatic) Dynamical Core (icon-exclaim v0.2.0)"

article en

Abstract

This archive contains post-processed data used to generate figures in the submitted manuscript "Towards Exascale Climate Modelling: A Python DSL approach to ICON's (Icosahedral non-hydrostatic) Dynamical core (icon-exlcaim v0.2.0)"

Zenodo (CERN European Organization for Nuclear Research)
ETH Zurich (CH), Institute for Disease Modeling (US)
Climate action
Openalex Percentile: Top 36%
Genetic factors in colorectal cancer
DOIOpen Access PDFOpenAlex
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Data for the article "Toward Exascale Climate Modelling: A Python DSL Approach to ICON's (Icosahedral Non-hydrostatic) Dynamical Core (icon-exclaim v0.2.0)" · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS