Preprints
https://doi.org/10.5194/gmd-2022-55
https://doi.org/10.5194/gmd-2022-55
Submitted as: model description paper
22 Mar 2022
Submitted as: model description paper | 22 Mar 2022
Status: this preprint is currently under review for the journal GMD.

Atmospherically relevant chemistry and aerosol box model – ARCA box (version 1.2.0)

Petri Clusius1,, Carlton Xavier1,, Lukas Pichelstorfer2, Putian Zhou1, Tinja Olenius3, Pontus Roldin4, and Michael Boy1 Petri Clusius et al.
  • 1Institute for Atmospheric and Earth Systems Research/Physics, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
  • 2Department of Chemistry and Physics of Materials, University of Salzburg, 5020, Salzburg, Austria
  • 3Swedish Meteorological and Hydrological Institute (SMHI), SE-601 76 Norrköping, Sweden
  • 4Division of Nuclear Physics, Department of Physics, Lund University, P. O. Box 118 SE-221 00 Lund, Sweden
  • These authors contributed equally to this work.

Abstract. We introduce the Atmospherically Relevant Chemistry and Aerosol box model ARCA box (v.1.2.0). It is a zero-dimensional process model with focus in atmospheric chemistry and submicron aerosol processes, including cluster formation. Novel feature in the model is its comprehensive graphical user interface, allowing for detailed configuration and documentation of the simulation settings, flexible model input and output visualization. Additionally, the graphical interface contains tools for module customization and input data acquisition. These properties – customizability, ease of implementation and repeatability – make ARCA invaluable tool for any atmospheric scientist who needs a view on the complex atmospheric aerosol processes. ARCA is based on previous models (MALTE-BOX, ADiC and ADCHEM) but the code has been fully rewritten and reviewed. The chemistry module incorporates the Master Chemical Mechanism (MCMv3.3.1) and Peroxy Radical Autoxidation Mechanism (PRAM) but can use any compatible chemistry scheme. ARCA’s aerosol module couples the ACDC (Atmospheric Cluster Dynamics Code) in its particle formation module, and the discrete particle size representation includes the fully stationary and fixed grid, moving average methods. ARCA calculates the gas-particle partitioning of low-volatility organic vapours for any number of compounds included in the chemistry, and the Brownian coagulation of the particles. The model has parametrisations for vapour and particle wall losses but accepts user supplied time and size-resolved input. ARCA is written in Fortran and Python (user interface and supplementary tools), can be installed on any of the three major operating systems and is licensed under GPLv3.

Petri Clusius et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-55', Anonymous Referee #1, 09 May 2022
  • RC2: 'Comment on gmd-2022-55', Anonymous Referee #2, 14 May 2022

Petri Clusius et al.

Model code and software

Atmospherically relevant chemistry and aerosol box model – ARCA box (version 1.2.0) Petri Clusius; Carlton Xavier; Lukas Pichelstorfer; Putian Zhou; Tinja Olenius; Pontus Roldin; Michael Boy https://doi.org/10.5281/zenodo.6358578

Petri Clusius et al.

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Short summary
Atmospheric chemistry and aerosol processes form a dynamic and sensitively balanced system, and solving problems regarding air quality or climate requires detailed modeling and coupling of the processes. The models involved are often very complex to use. We have addressed this problem with the new ARCA box model. It puts much of the current knowledge of the nano- and microscale aerosol dynamics and chemistry into usable software, and has the potential to become a valuable tool in the community.