PySDM

Arabas, Sylwester; Azimi, Sajjad; Bartman, Piotr; Bhalla, Brady; Bulenok, Oleksii; de Jong, Emily; Derlatka, Kacper; Dula, Isabella; Górski, Kamil; Jaruga, Anna; Łazarski, Grzegorz; Mackay, J. Ben; Mints, Mikhail; Makulska, Agnieszka; Olesik, Michael; Piasecki, Bartosz; Singer, Clare E.; Talar, Aleksandra; Ward, Ryan X.

doi:10.5281/zenodo.10429671

There is a newer version of the record available.

Published December 25, 2023 | Version v2.34

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PySDM

Arabas, Sylwester¹
Azimi, Sajjad²
Bartman, Piotr³
Bhalla, Brady²
Bulenok, Oleksii³
de Jong, Emily²
Derlatka, Kacper³
Dula, Isabella²
Górski, Kamil³
Jaruga, Anna²
Łazarski, Grzegorz³
Mackay, J. Ben²
Mints, Mikhail²
Makulska, Agnieszka⁴
Olesik, Michael³
Piasecki, Bartosz³
Singer, Clare E.²
Talar, Aleksandra³
Ward, Ryan X.²

1. AGH University of Krakow, Kraków, Poland
2. California Institute of Technology, Pasadena, CA, USA
3. Jagiellonian University, Kraków, Poland
4. University of Warsaw, Poland

Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab

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open-atmos/PySDM-v2.34.zip

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Is supplement to: Software: https://github.com/open-atmos/PySDM/tree/v2.34 (URL)

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Software

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Zenodo

Technical metadata

Created: December 24, 2023
Modified: December 24, 2023

PySDM

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open-atmos/PySDM-v2.34.zip

Files (1.9 MB)

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