Articles | Volume 19, issue 20
https://doi.org/10.5194/gmd-19-9993-2026
https://doi.org/10.5194/gmd-19-9993-2026
Development and technical paper
 | 
20 Oct 2026
Development and technical paper |  | 20 Oct 2026

A Lagrangian particle tracking framework for the super-droplet method in SCALE-SDM 5.2.6-2.3.1: implementation and computational evaluation

Chongzhi Yin, Shin-Ichiro Shima, and Chunsong Lu

Model code and software

SCALE-SDM super-droplet tracking suite with forward/backward tracking and TPHT Chongzhi Yin https://doi.org/10.5281/zenodo.20659293

Video supplement

TPHT diagnostic visualisation of selected super-droplet histories in a DYCOMS-II RF02 stratocumulus simulation Chongzhi Yin https://doi.org/10.5281/zenodo.20658816

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Short summary

We developed and tested a way to trace selected cloud particles in a simulation, including how they grow and merge. One run identifies particles that meet chosen conditions, and a second reconstructs only their saved histories. In a three-dimensional test, the saved data were estimated to be one-fifth of what would be needed to keep all particle histories. Larger reductions are possible when fewer particles are selected, making such studies more practical in large simulations.

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