Explicit stochastic advection algorithms for the regional-scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0)

Curtis, Jeffrey H.; Riemer, Nicole; West, Matthew

doi:https://doi.org/10.5194/gmd-17-8399-2024

Articles | Volume 17, issue 22

https://doi.org/10.5194/gmd-17-8399-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-8399-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 22

Development and technical paper

|

27 Nov 2024

Development and technical paper |

| 27 Nov 2024

Explicit stochastic advection algorithms for the regional-scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0)

Jeffrey H. Curtis, Nicole Riemer, and Matthew West

Data sets

Data for Explicit stochastic advection algorithms for the regional scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0) Jeffrey H. Curtis et al. https://doi.org/10.13012/B2IDB-3847217_V2

Model code and software

open-atmos/wrf-partmc: Version 1.0 Jeffrey H. Curtis et al. https://doi.org/10.5281/zenodo.10794890

Short summary

This paper introduces a numerical method for simulating particle-based aerosol transport in atmospheric models. We detail the various numerical properties of the advection order method and demonstrate its implementation in a 3D weather prediction model (WRF) for the first time. Particle-based techniques improve the accuracy of aerosol size and composition predictions, which are key for aerosol–cloud and aerosol–radiation interactions.