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| Titel |
Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1) |
| VerfasserIn |
K. J. Pringle, H. Tost, S. Message, B. Steil, D. Giannadaki, A. Nenes, C. Fountoukis, P. Stier, E. Vignati, J. Lelieveld  |
| 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 ; 3, no. 2 ; Nr. 3, no. 2 (2010-09-10), S.391-412 |
| Datensatznummer |
250000947
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| Publikation (Nr.) |
 copernicus.org/gmd-3-391-2010.pdf |
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| Zusammenfassung |
We present a new aerosol microphysics and gas aerosol partitioning submodel
(Global Modal-aerosol eXtension, GMXe) implemented within the ECHAM/MESSy
Atmospheric Chemistry model (EMAC, version 1.8). The submodel is
computationally efficient and is suitable for medium to long term simulations
with global and regional models. The aerosol size distribution is treated
using 7 log-normal modes and has the same microphysical core as the M7
submodel (Vignati et al., 2004).
The main developments in this work are: (i) the extension of the
aerosol emission routines and the M7 microphysics, so that an
increased (and variable) number of aerosol species can be treated
(new species include sodium and chloride, and potentially magnesium,
calcium, and potassium), (ii) the coupling of the aerosol
microphysics to a choice of treatments of gas/aerosol partitioning
to allow the treatment of semi-volatile aerosol, and, (iii) the
implementation and evaluation of the developed submodel within the
EMAC model of atmospheric chemistry.
Simulated concentrations of black carbon, particulate organic matter, dust,
sea spray, sulfate and ammonium aerosol are shown to be in good agreement
with observations (for all species at least 40% of modeled values are within
a factor of 2 of the observations). The distribution of nitrate aerosol is
compared to observations in both clean and polluted regions. Concentrations
in polluted continental regions are simulated quite well, but there is a
general tendency to overestimate nitrate, particularly in coastal regions
(geometric mean of modelled values/geometric mean of observed data
≈2). In all regions considered more than 40% of nitrate
concentrations are within a factor of two of the observations. Marine nitrate
concentrations are well captured with 96% of modeled values within a factor
of 2 of the observations. |
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