Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 22
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

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jeffrey Curtis on behalf of the Authors (12 Aug 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Aug 2024) by Simon Unterstrasser
RR by Anonymous Referee #1 (26 Aug 2024)
RR by Anonymous Referee #2 (29 Aug 2024)
ED: Publish as is (09 Sep 2024) by Simon Unterstrasser
AR by Jeffrey Curtis on behalf of the Authors (11 Sep 2024)  Manuscript 
Download
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.
Read more