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  SpeedyWeather.jl: Reinventing atmospheric general circulation models towards interactivity and extensibility

Klöwer, M., Gelbrecht, M., Hotta, D., Willmert, J., Silvestri, S., Wagner, G. L., White, A., Hatfield, S., Kimpson, T., Constantinou, N. C., Hill, C. (2024): SpeedyWeather.jl: Reinventing atmospheric general circulation models towards interactivity and extensibility. - Journal of Open Source Software, 9, 98, 6323.
https://doi.org/10.21105/joss.06323

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Externe Referenzen

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externe Referenz:
https://github.com/SpeedyWeather/SpeedyWeather.jl (Ergänzendes Material)
Beschreibung:
Software repository
externe Referenz:
https://zenodo.org/doi/10.5281/zenodo.6510139 (Ergänzendes Material)
Beschreibung:
Software

Urheber

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 Urheber:
Klöwer, Milan1, Autor
Gelbrecht, Maximilian2, Autor              
Hotta, Daisuke1, Autor
Willmert, Justin1, Autor
Silvestri, Simone1, Autor
Wagner, Gregory L.1, Autor
White, Alistair2, Autor              
Hatfield, Sam1, Autor
Kimpson, Tom1, Autor
Constantinou, Navid C.1, Autor
Hill, Chris1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

Inhalt

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 Zusammenfassung: SpeedyWeather.jl is a library to simulate and analyze the global atmospheric circulation on the sphere. It implements several 2D and 3D models which solve different sets of equations: • the primitive equations with and without humidity (Figure 1), • the shallow water equations (Figure 2), and • the barotropic vorticity equation (Figure 3). The primitive equation model in SpeedyWeather.jl is an atmospheric general circulation model (Kucharski et al., 2013) with simple parameterizations for unresolved physical processes including precipitation or boundary layer mixing. It can be thought of as a conceptual reinvention of the Fortran SPEEDY model (Molteni, 2003) in the Julia programming language (Bezanson et al., 2017). However, all models here are written in a modular way to make its components easily extensible. For example, a new parameterization can be externally defined and passed as an argument to the model constructor. Operators used inside SpeedyWeather.jl are exposed to the user, facilitating analysis of the simulation data. SpeedyWeather.jl is therefore, beyond its main purpose of simulating atmospheric motion, also a library for the analysis of gridded data on the sphere. Running and analyzing simulations can be interactively combined, enhancing user experience and productivity.

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Sprache(n): eng - Englisch
 Datum: 2023-11-302024-06-072024-06-07
 Publikationsstatus: Final veröffentlicht
 Seiten: 7
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Organisational keyword: FutureLab - Artificial Intelligence in the Anthropocene
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Atmosphere
Regional keyword: Global
Model / method: Open Source Software
OATYPE: Diamond
MDB-ID: No MDB - stored outside PIK (see locators/paper)
DOI: 10.21105/joss.06323
 Art des Abschluß: -

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Quelle 1

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Titel: Journal of Open Source Software
Genre der Quelle: Zeitschrift, other, oa-diamond
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 9 (98) Artikelnummer: 6323 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journal-open-source-software
Publisher: Open Journals