PySDM v1: particle-based cloud modeling package for warm-rain microphysics and aqueous chemistry-Reference-Cited by-同舟云学术

PySDM v1: particle-based cloud modeling package for warm-rain microphysics and aqueous chemistry

Published:2022-04-24 Issue:72 Volume:7 Page:3219
ISSN:2475-9066
Container-title:Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

Bartman Piotr^ORCID,Bulenok Oleksii^ORCID,Górski Kamil,Jaruga Anna^ORCID,Łazarski Grzegorz^ORCID,Olesik Michael A.^ORCID,Piasecki Bartosz,Singer Clare E.^ORCID,Talar Aleksandra,Arabas Sylwester^ORCID

Publisher

The Open Journal

Link

https://joss.theoj.org/papers/10.21105/joss.03219.pdf

Reference24 articles.

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1. Training Warm‐Rain Bulk Microphysics Schemes Using Super‐Droplet Simulations;Journal of Advances in Modeling Earth Systems;2024-07

2. PyPartMC: A Pythonic interface to a particle-resolved, Monte Carlo aerosol simulation framework;SoftwareX;2024-02

3. Breakups are complicated: an efficient representation of collisional breakup in the superdroplet method;Geoscientific Model Development;2023-07-26

4. New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-stepping;Journal of Open Source Software;2023-04-19

5. Spanning the Gap From Bulk to Bin: A Novel Spectral Microphysics Method;Journal of Advances in Modeling Earth Systems;2022-11