Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 21
Articles | Volume 16, issue 21
https://doi.org/10.5194/gmd-16-6211-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-16-6211-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 21
Development and technical paper
 | 
02 Nov 2023
Development and technical paper |  | 02 Nov 2023

Overcoming computational challenges to realize meter- to submeter-scale resolution in cloud simulations using the super-droplet method

Toshiki Matsushima, Seiya Nishizawa, and Shin-ichiro Shima

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Short summary
A particle-based cloud model was developed for meter- to submeter-scale resolution in cloud simulations. Our new cloud model's computational performance is superior to a bin method and comparable to a two-moment bulk method. A highlight of this study is the 2 m resolution shallow cloud simulations over an area covering ∼10 km2. This model allows for studying turbulence and cloud physics at spatial scales that overlap with those covered by direct numerical simulations and field studies.
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Particle-based methods for simulating atmospheric aerosol...