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Titel |
Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observations |
VerfasserIn |
Y. H. Lee, P. J. Adams, D. T. Shindell |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1991-959X
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Digitales Dokument |
URL |
Erschienen |
In: Geoscientific Model Development ; 8, no. 3 ; Nr. 8, no. 3 (2015-03-20), S.631-667 |
Datensatznummer |
250116181
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Publikation (Nr.) |
copernicus.org/gmd-8-631-2015.pdf |
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Zusammenfassung |
The TwO-Moment
Aerosol Sectional (TOMAS) microphysics model has been integrated into the
state-of-the-art general circulation model, GISS ModelE2. This paper provides
a detailed description of the ModelE2-TOMAS model and evaluates the model
against various observations including aerosol precursor gas concentrations,
aerosol mass and number concentrations, and aerosol optical depths.
Additionally, global budgets in ModelE2-TOMAS are compared with those of
other global aerosol models, and the ModelE2-TOMAS model is compared to the
default aerosol model in ModelE2, which is a one-moment aerosol (OMA) model
(i.e. no aerosol microphysics). Overall, the ModelE2-TOMAS predictions are
within the range of other global aerosol model predictions, and the model has
a reasonable agreement (mostly within a factor of 2) with observations of
sulfur species and other aerosol
components as well as aerosol optical depth. However, ModelE2-TOMAS (as well
as ModelE2-OMA) cannot capture the observed vertical distribution of sulfur
dioxide over the Pacific Ocean, possibly due to overly strong convective
transport and overpredicted precipitation. The ModelE2-TOMAS model simulates
observed aerosol number concentrations and cloud condensation nuclei
concentrations roughly within a factor of 2. Anthropogenic aerosol burdens in
ModelE2-OMA differ from ModelE2-TOMAS by a few percent to a factor of 2
regionally, mainly due to differences in aerosol processes including
deposition, cloud processing, and emission parameterizations. We observed
larger differences for naturally emitted aerosols such as sea salt and
mineral dust, as those emission rates are quite different due to different
upper size cutoff assumptions. |
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