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238<br />
Numerical modeling of trace species cycles in regional climate model<br />
systems<br />
Bärbel Langmann<br />
Institute of Geophysics, University of Hamburg, Bundesstr. 55, Germany, baerbel.langmann@zmaw.de<br />
1. Introduction<br />
In recent years, numerous atmospheric regional and global<br />
climate models have been extended by modules for transport<br />
and transformation of trace species (Zhang, 2008) to<br />
improve the numerical simulation of atmospheric trace<br />
species cycles, their impact on climate and vice versa. This<br />
is an important step from the chemical and climate point of<br />
view, as the on-line methodology offers several advantages<br />
compared to the off-line methodology, where chemical and<br />
meteorological processes are determined in separate models.<br />
Examples for such regional scale models are GATOR-<br />
GCMM (Jacobson, 2001), REMOTE (Langmann, 2000) and<br />
WRF (Grell et al., 2005).<br />
A further extension towards regional Earth system models is<br />
to couple ocean and atmosphere biogeochemical models on<br />
the regional scale, with the potential to offer new insights<br />
into exchange processes of climate relevant trace species<br />
between the ocean and the atmosphere. Aerosols in the<br />
marine atmosphere influence solar irradiation over the<br />
world’s ocean directly by backscattering incoming solar<br />
radiation and indirectly, by forming cloud condensation<br />
nuclei thereby affecting the cloud albedo. In recent years,<br />
the role of natural organic aerosol (OC) in the marine<br />
environment has received increasing attention.<br />
Measurements indicate that the increase of the marine<br />
biological activity is accompanied by a considerable<br />
increase of the contribution of OC to the submicron marine<br />
aerosol (e.g. O’Dowd et al., 2004) exceeding the mass<br />
fraction of nss sulfate by a factor of more than two. Here the<br />
recent developments of and future plans with the regional<br />
scale climate-chemistry/aerosol model REMOTE are<br />
presented together with selected applications.<br />
2. Model description<br />
The regional scale three-dimensional on-line atmospherechemistry/aerosol<br />
model REMOTE (Regional Model with<br />
Tracer Extension, www.mpimet.mpg.de/en/wissenschaft/<br />
modelle/remote.html) (Langmann, 2000; Langmann et al.,<br />
2008) is one of the few regional climate models that<br />
determines the physical, photochemical and aerosol state of<br />
the atmosphere at every time step thus offering the<br />
possibility to consider trace species effects on climate as<br />
well (e.g. Langmann, 2007). The dynamical part of the<br />
model is based on the former regional weather forecast<br />
system of the German Weather Service (Majewski, 1991)<br />
which is using a hydrostatic assumption for the vertical<br />
pressure gradient. In addition to the German Weather<br />
Service physical parameterisations, those of the global<br />
climate model ECHAM-4 (Roeckner et al., 1996) have been<br />
implemented in REMOTE and are used for most<br />
applications since 2000.<br />
There are different trace species modules available: a<br />
photochemical module, stable water isotopes have been<br />
studied (e.g. Sturm et al., 2005), carbon dioxide (e.g.<br />
Karstens et al., 2006) and recently an aerosol microphysical<br />
module has been implemented in addition to the<br />
photochemical one (Langmann et al., 2008). A study on the<br />
second indirect aerosol effect is described in Langmann<br />
(2007). The model is flexible to be applied all over the<br />
world: many applications focus on Europe, some studies<br />
on Indonesia, South America, Nicaragua and India.<br />
Meanwhile the model is applied in Indonesia, China,<br />
Germany, UK and Ireland, where it is further developed to<br />
study a variety of scientific questions.<br />
3. Selected applications<br />
Recently, O’Dowd et al. (2008) published a novel<br />
approach to develop a combined organic-inorganic submicron<br />
sea-spray source function for inclusion in largescale<br />
models. It requires wind speed and surface ocean<br />
chlorophyll-a concentration as input parameters. The<br />
combined organic-inorganic source function was<br />
implemented in REMOTE and sea-spray fields are<br />
predicted with particular focus on the North East Atlantic.<br />
The model predictions for primary organic carbon (POC)<br />
using the new source functions (Fig. 1, 2) compare well<br />
with observations of total sea-spray mass and organic<br />
carbon fraction in sea-spray aerosol.<br />
Figure 1. REMOTE model results for marine POC<br />
[ug/m 3 ] in surface air during January (left figure)<br />
and June 2003 (right figure).<br />
Figure 2. REMOTE model results for the fraction of<br />
marine POC in accumulation mode sea-spray [%] in<br />
surface air during January (left figure) and June<br />
2003 (right figure).