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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).

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