Preprints
https://doi.org/10.5194/egusphere-2026-2381
https://doi.org/10.5194/egusphere-2026-2381
20 May 2026
 | 20 May 2026
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

BoxMART v1.1 – Box Model for Atmospheric Research and Teaching version 1.1

Putian Zhou, Zeqi Cui, Petri Clusius, Risto Makkonen, Zihao Fu, Veli-Matti Kerminen, Markku Kulmala, and Michael Boy

Abstract. A new open-source chemistry and aerosol box model BoxMART (Box Model for Atmospheric Research and Teaching) has been developed, aiming for easy and flexible configuration for various simulation cases, as well as suitable to teach and learn complex chemistry and aerosol processes. The model is written in Fortran and stored as a gitlab repository. The chemistry module is handled by KPP (Kinetic PreProcessor) which converts the chemistry scheme in an adapted format to Fortran code. The aerosol module currently includes coagulation, condensational and dissolutional growth, evaporation and aerosol thermodynamic processes. The MOSAIC (Model for Simulating Aerosol Interactions and Chemistry) model has been implemented to calculate the non-equilibrium dynamic gas-particle partitioning of non-volatile and semivolatile species, including H2SO4, HNO3, HCl, NH3, and organic compounds to multiple particle size bins. The current ion system includes H+, NH4+, Na+, SO42–, NO3, Cl and H2O, where pH value in each size bin is also calculated. The particle size distribution is discretized with a fully stationary method. In order to provide good examples for evaluating BoxMART, as well as future model development, a number of benchmark simulation cases from previous studies ranging from simple to complicated cases, have been revised in details and simulated to verify different processes.

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Putian Zhou, Zeqi Cui, Petri Clusius, Risto Makkonen, Zihao Fu, Veli-Matti Kerminen, Markku Kulmala, and Michael Boy

Status: open (until 16 Jul 2026)

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Putian Zhou, Zeqi Cui, Petri Clusius, Risto Makkonen, Zihao Fu, Veli-Matti Kerminen, Markku Kulmala, and Michael Boy
Putian Zhou, Zeqi Cui, Petri Clusius, Risto Makkonen, Zihao Fu, Veli-Matti Kerminen, Markku Kulmala, and Michael Boy
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Latest update: 21 May 2026
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Short summary
Tiny particles in the air affect climate by changing how much sun light reaches the ground and how clouds form. To understand it better, we developed an atmospheric computer model BoxMART to simulate how gases and particles interact in the air. It is flexible and easy to use, suitable for both research and teaching. It is validated by ten sets of cases from earlier studies. BoxMART provides a solid foundation for future work on air quality and climate change.
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