In:
Geoscientific Model Development, Copernicus GmbH, Vol. 15, No. 18 ( 2022-09-29), p. 7257-7286
Kurzfassung:
Abstract. We introduce the Atmospherically Relevant Chemistry and
Aerosol box model ARCA box (v.1.2.2). It is a zero-dimensional process model
with a focus on atmospheric chemistry and submicron aerosol processes,
including cluster formation. A 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 an
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 gas-phase 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, as well as the Brownian coagulation of the particles.
The model has parametrizations 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.
Materialart:
Online-Ressource
ISSN:
1991-9603
DOI:
10.5194/gmd-15-7257-2022
Sprache:
Englisch
Verlag:
Copernicus GmbH
Publikationsdatum:
2022
ZDB Id:
2456725-5
