Chapter 62
Influence of Physical Parameterization Changes
in the ALARO High Resolution NWP Model
for Belgium on the CTM CHIMERE
A.W. Delcloo, R. Hamdi, A. Deckmyn, P. Termonia, H. De Backer,
and H. Van Langenhove
Abstract At the Royal Meteorological Institute of Belgium the chemical transport
model (CTM) CHIMERE runs at a spatial resolution of 7 km. The CTM is first run
on a coarse resolution of 50 km covering Western Europe. As a NWP input, the
meteorological fields of ECMWF are consulted. The emission database is provided
by EMEP. This model run is used as input for the boundary conditions for the
coupled high resolution (7 km) chemical transport model run.
This one-way nested coupling with the high resolution limited area NWP model
ALARO (spatial resolution of 7 km) improved already significantly the modelling of
ozone concentrations by improving the physical parameterization, i.e. cloud cover,
surface temperature, surface sensible heat flux, surface latent heat flux and relative
humidity fields.
The model domain of ALARO covers Belgium and the Netherlands
(680 680 km
2
). The emission database used as input for this high-resolution
model is the TNO/GEMS emission database (Visschedijk AJH, Zandveld PYJ,
Denier van der Gon HACA, High resolution gridded European database for the EU
integrate project GEMS, TNO-report 2007-A-R0233/B, 2007).
We will present the influence from the improved physical parameterizations
of the NWP model on air quality model forecast performance for two different
time periods. Also the influence on the implementation of a new surface scheme
(SURFEX including The Town Energy Balance (TEB) scheme) in the NWP limited
area model will be shown.
Keywords Chimere-model • Ozone • Town-Energy-Balance
A.W. Delcloo () • R. Hamdi • A. Deckmyn • P. Termonia • H. De Backer
Royal Meteorological Institute of Belgium, Brussels, Belgium
e-mail: andy.delcloo@meteo.be
H. Van Langenhove
Research group EnVOC, Department of Sustainable Organic Chemistry and Technology,
Faculty of Bioscience Engineering, Ghent University, Brussels, Belgium
D.G. Steyn et al. (eds.), Air Pollution Modeling and its Application XXII,
NATO Science for Peace and Security Series C: Environmental Security,
DOI 10.1007/978-94-007-5577-2__62, © Springer ScienceCBusiness Media Dordrecht 201
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