Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1)

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 gl...

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Main Authors: K. J. Pringle, H. Tost, S. Message, B. Steil, D. Giannadaki, A. Nenes, C. Fountoukis, P. Stier, E. Vignati, J. Lelieveld
Format: Article
Language:English
Published: Copernicus Publications 2010-09-01
Series:Geoscientific Model Development
Online Access:http://www.geosci-model-dev.net/3/391/2010/gmd-3-391-2010.pdf
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spelling doaj-06e83a7399b146fe927a85863612897d2020-11-24T23:07:25ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032010-09-013239141210.5194/gmd-3-391-2010Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1)K. J. PringleH. TostS. MessageB. SteilD. GiannadakiA. NenesC. FountoukisP. StierE. VignatiJ. LelieveldWe 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). <br><br> 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. <br><br> 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. http://www.geosci-model-dev.net/3/391/2010/gmd-3-391-2010.pdf
collection DOAJ
language English
format Article
sources DOAJ
author K. J. Pringle
H. Tost
S. Message
B. Steil
D. Giannadaki
A. Nenes
C. Fountoukis
P. Stier
E. Vignati
J. Lelieveld
spellingShingle K. J. Pringle
H. Tost
S. Message
B. Steil
D. Giannadaki
A. Nenes
C. Fountoukis
P. Stier
E. Vignati
J. Lelieveld
Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1)
Geoscientific Model Development
author_facet K. J. Pringle
H. Tost
S. Message
B. Steil
D. Giannadaki
A. Nenes
C. Fountoukis
P. Stier
E. Vignati
J. Lelieveld
author_sort K. J. Pringle
title Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1)
title_short Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1)
title_full Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1)
title_fullStr Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1)
title_full_unstemmed Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1)
title_sort description and evaluation of gmxe: a new aerosol submodel for global simulations (v1)
publisher Copernicus Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2010-09-01
description 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). <br><br> 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. <br><br> 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.
url http://www.geosci-model-dev.net/3/391/2010/gmd-3-391-2010.pdf
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