American Psychological Association 6th edition

Arnold, C., Sharma, S., Weigel, T., & Greenberg, D. (2023). Efficient and Stable Coupling of the Superdrop Net Deep Learning-based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5). EGUsphere, 1-17. https://doi.org/10.5194/egusphere-2023-2047

ISO-690 (author-date, English)

ARNOLD, Caroline, SHARMA, Shivani, WEIGEL, Tobias und GREENBERG, David, 2023. Efficient and Stable Coupling of the Superdrop Net Deep Learning-based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5). EGUsphere. 15 November 2023. P. 1-17. DOI 10.5194/egusphere-2023-2047.

Modern Language Association 9th edition

Arnold, C., S. Sharma, T. Weigel, und D. Greenberg. „Efficient and Stable Coupling of the Superdrop Net Deep Learning-Based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5).“. EGUsphere, November 2023, S. 1-17, https://doi.org/10.5194/egusphere-2023-2047.

Mohr Siebeck - Recht (Deutsch - Österreich)

Arnold, Caroline/Sharma, Shivani/Weigel, Tobias/Greenberg, David: Efficient and Stable Coupling of the Superdrop Net Deep Learning-based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5)., EGUsphere 2023, 1-17.

Emerald - Harvard

Arnold, C., Sharma, S., Weigel, T. und Greenberg, D. (2023), „Efficient and Stable Coupling of the Superdrop Net Deep Learning-based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5).“, EGUsphere, S. 1-17.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.