Description and evaluation of the community aerosol dynamics model MAFOR v2.0
<p>Numerical models are needed for evaluating aerosol processes in the atmosphere in state-of-the-art chemical transport models, urban-scale dispersion models, and climatic models. This article describes a publicly available aerosol dynamics model, MAFOR (Multicomponent Aerosol FORmation model...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-05-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/15/3969/2022/gmd-15-3969-2022.pdf |
| _version_ | 1811233982974525440 |
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| author | M. Karl L. Pirjola L. Pirjola T. Grönholm M. Kurppa S. Anand X. Zhang A. Held R. Sander M. Dal Maso D. Topping S. Jiang L. Kangas J. Kukkonen J. Kukkonen |
| author_facet | M. Karl L. Pirjola L. Pirjola T. Grönholm M. Kurppa S. Anand X. Zhang A. Held R. Sander M. Dal Maso D. Topping S. Jiang L. Kangas J. Kukkonen J. Kukkonen |
| author_sort | M. Karl |
| collection | DOAJ |
| description | <p>Numerical models are needed for evaluating aerosol processes in
the atmosphere in state-of-the-art chemical transport models,
urban-scale dispersion models, and climatic models.
This article describes a publicly available aerosol dynamics model,
MAFOR (Multicomponent Aerosol FORmation model; version 2.0);
we address the main structure of the model, including the types
of operation and the treatments of the aerosol processes.
The model simultaneously solves the time evolution of both the
particle number and the mass concentrations of aerosol components
in each size section. In this way, the model can also allow for
changes in the average density of particles.
An evaluation of the model is also presented against a
high-resolution observational dataset in a street canyon located
in the centre of Helsinki (Finland) during afternoon traffic
rush hour on 13 December 2010. The experimental data included
measurements at different locations in the street canyon of
ultrafine particles,
black carbon, and fine particulate
mass <span class="inline-formula">PM<sub>1</sub></span>.
This evaluation has also included an intercomparison with the
corresponding predictions of two other prominent aerosol dynamics
models, AEROFOR and SALSA.
All three models simulated the decrease in the measured
total particle number concentrations fairly well with increasing distance
from the vehicular emission source. The MAFOR model reproduced
the evolution of the observed particle number size distributions
more accurately than the other two models.
The MAFOR model also predicted the variation of the concentration
of <span class="inline-formula">PM<sub>1</sub></span> better than the SALSA model.
We also analysed the relative importance of various aerosol
processes based on the predictions of the three models.
As expected, atmospheric dilution dominated over other processes;
dry deposition was the second most significant process.
Numerical sensitivity tests with the MAFOR model revealed that
the uncertainties associated with the properties of the condensing
organic vapours affected only the size range of particles smaller
than 10 <span class="inline-formula">nm</span> in diameter.
These uncertainties therefore do not significantly affect the
predictions of the whole of the number size distribution and the
total number concentration. The MAFOR model version 2 is well
documented and versatile to use, providing a range of
alternative parameterizations for various aerosol processes.
The model includes an efficient numerical integration of particle
number and mass concentrations, an operator splitting of processes,
and the use of a fixed sectional method. The model could be used
as a module in various atmospheric and climatic models.</p> |
| first_indexed | 2024-04-12T11:29:08Z |
| format | Article |
| id | doaj.art-ba92d619f9a2469589db0d8a5f913175 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-04-12T11:29:08Z |
| publishDate | 2022-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-ba92d619f9a2469589db0d8a5f9131752022-12-22T03:35:07ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032022-05-01153969402610.5194/gmd-15-3969-2022Description and evaluation of the community aerosol dynamics model MAFOR v2.0M. Karl0L. Pirjola1L. Pirjola2T. Grönholm3M. Kurppa4S. Anand5X. Zhang6A. Held7R. Sander8M. Dal Maso9D. Topping10S. Jiang11L. Kangas12J. Kukkonen13J. Kukkonen14Chemistry Transport Modelling, Helmholtz-Zentrum Hereon, Geesthacht, GermanyDepartment of Physics, University of Helsinki, Helsinki, FinlandDepartment of Automotive and Mechanical Engineering, Metropolia University of Applied Sciences, Vantaa, FinlandAtmospheric Composition Research, Finnish Meteorological Institute, Helsinki, FinlandAtmospheric Composition Research, Finnish Meteorological Institute, Helsinki, FinlandHealth Physics Division, Bhabha Atomic Research Centre, Mumbai, IndiaInstitute of Environmental Engineering (IfU), ETH Zürich, Zürich, SwitzerlandEnvironmental Chemistry and Air Research, Technische Universität Berlin, Berlin, GermanyAir Chemistry Department, Max Planck Institute for Chemistry, Mainz, GermanyAerosol Physics, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, FinlandDepartment of Earth and Environmental Science, University of Manchester, Manchester, UKSchool of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, ChinaAtmospheric Composition Research, Finnish Meteorological Institute, Helsinki, FinlandAtmospheric Composition Research, Finnish Meteorological Institute, Helsinki, FinlandCentre for Atmospheric and Climate Physics Research, and Centre for Climate Change Research, University of Hertfordshire, Hatfield, UK<p>Numerical models are needed for evaluating aerosol processes in the atmosphere in state-of-the-art chemical transport models, urban-scale dispersion models, and climatic models. This article describes a publicly available aerosol dynamics model, MAFOR (Multicomponent Aerosol FORmation model; version 2.0); we address the main structure of the model, including the types of operation and the treatments of the aerosol processes. The model simultaneously solves the time evolution of both the particle number and the mass concentrations of aerosol components in each size section. In this way, the model can also allow for changes in the average density of particles. An evaluation of the model is also presented against a high-resolution observational dataset in a street canyon located in the centre of Helsinki (Finland) during afternoon traffic rush hour on 13 December 2010. The experimental data included measurements at different locations in the street canyon of ultrafine particles, black carbon, and fine particulate mass <span class="inline-formula">PM<sub>1</sub></span>. This evaluation has also included an intercomparison with the corresponding predictions of two other prominent aerosol dynamics models, AEROFOR and SALSA. All three models simulated the decrease in the measured total particle number concentrations fairly well with increasing distance from the vehicular emission source. The MAFOR model reproduced the evolution of the observed particle number size distributions more accurately than the other two models. The MAFOR model also predicted the variation of the concentration of <span class="inline-formula">PM<sub>1</sub></span> better than the SALSA model. We also analysed the relative importance of various aerosol processes based on the predictions of the three models. As expected, atmospheric dilution dominated over other processes; dry deposition was the second most significant process. Numerical sensitivity tests with the MAFOR model revealed that the uncertainties associated with the properties of the condensing organic vapours affected only the size range of particles smaller than 10 <span class="inline-formula">nm</span> in diameter. These uncertainties therefore do not significantly affect the predictions of the whole of the number size distribution and the total number concentration. The MAFOR model version 2 is well documented and versatile to use, providing a range of alternative parameterizations for various aerosol processes. The model includes an efficient numerical integration of particle number and mass concentrations, an operator splitting of processes, and the use of a fixed sectional method. The model could be used as a module in various atmospheric and climatic models.</p>https://gmd.copernicus.org/articles/15/3969/2022/gmd-15-3969-2022.pdf |
| spellingShingle | M. Karl L. Pirjola L. Pirjola T. Grönholm M. Kurppa S. Anand X. Zhang A. Held R. Sander M. Dal Maso D. Topping S. Jiang L. Kangas J. Kukkonen J. Kukkonen Description and evaluation of the community aerosol dynamics model MAFOR v2.0 Geoscientific Model Development |
| title | Description and evaluation of the community aerosol dynamics model MAFOR v2.0 |
| title_full | Description and evaluation of the community aerosol dynamics model MAFOR v2.0 |
| title_fullStr | Description and evaluation of the community aerosol dynamics model MAFOR v2.0 |
| title_full_unstemmed | Description and evaluation of the community aerosol dynamics model MAFOR v2.0 |
| title_short | Description and evaluation of the community aerosol dynamics model MAFOR v2.0 |
| title_sort | description and evaluation of the community aerosol dynamics model mafor v2 0 |
| url | https://gmd.copernicus.org/articles/15/3969/2022/gmd-15-3969-2022.pdf |
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