Pace v0.2: a Python-based performance-portable atmospheric model

Johann Dahm, Eddie Davis, Florian Deconinck, Oliver Elbert, Rhea George, Jeremy McGibbon, Tobias Wicky, Elynn Wu, Christopher Kung, Tal Ben-Nun, Lucas Harris, Linus Groner, Oliver Fuhrer

Open source

DOI: 10.5194/gmd-16-2719-2023
Published: 2023-05-17
Container: Geoscientific Model Development
Publisher: Copernicus GmbH
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.5194/gmd-16-2719-2023,
  title = {Pace v0.2: a Python-based performance-portable atmospheric model},
  author = {Johann Dahm and Eddie Davis and Florian Deconinck and Oliver Elbert and Rhea George and Jeremy McGibbon and Tobias Wicky and Elynn Wu and Christopher Kung and Tal Ben-Nun and Lucas Harris and Linus Groner and Oliver Fuhrer},
  year = {2023},
  journal = {Geoscientific Model Development},
  doi = {10.5194/gmd-16-2719-2023},
  url = {https://doi.org/10.5194/gmd-16-2719-2023}
}

RIS

TY  - JOUR
TI  - Pace v0.2: a Python-based performance-portable atmospheric model
AU  - Johann Dahm
AU  - Eddie Davis
AU  - Florian Deconinck
AU  - Oliver Elbert
AU  - Rhea George
AU  - Jeremy McGibbon
AU  - Tobias Wicky
AU  - Elynn Wu
AU  - Christopher Kung
AU  - Tal Ben-Nun
AU  - Lucas Harris
AU  - Linus Groner
AU  - Oliver Fuhrer
PY  - 2023
JO  - Geoscientific Model Development
DO  - 10.5194/gmd-16-2719-2023
UR  - https://doi.org/10.5194/gmd-16-2719-2023
ER  -

APA

Dahm, J., Davis, E., Deconinck, F., Elbert, O., George, R., McGibbon, J., Wicky, T., Wu, E., Kung, C., Ben-Nun, T., Harris, L., Groner, L., & Fuhrer, O. (2023). Pace v0.2: a Python-based performance-portable atmospheric model. Geoscientific Model Development. https://doi.org/10.5194/gmd-16-2719-2023

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crossref · retrieved 2026-09-26T03:07:16.124Z