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More information on some input arrays can be found when moving the cursor above the corresponding field in the questionnaire. Those fields are also explained in the glossary.

AURORA: Air quality modelling in Urban Regions using an Optimal Resolution Approach

General information

Model name and version

short nameAURORA
full nameAir quality modelling in Urban Regions using an Optimal Resolution Approach
revision-
dateNovember 2006
last change

Responsible for this information

nameKoen De Ridder
instituteVITO
addressBoeretang 200
zipB-2400
cityMol
countryBelgium
phone(32-14) 33 59 68
fax
e-mailkoen.deridder(belongs-to)vito.be

Additional information on the model

Contact person for model code

same as person above
nameKoen De Ridder
instituteVITO
divisionsBoeretang 200
street
zipB-2400
cityMol
countryBelgium
phone(32-14) 33 59 68
emailkoen.deridder(belongs-to)vito.be
fax

Model developer and model user

developer and userAURORA was developed at VITO - for the moment there are no external users

Level of Knowledge needed to operate model

basic
intermediate
advanced
remarks

Model use at your institution

operational
for research
other use

Model code available?

is available?no
more detailsthe current version is not particularly user-friendly...

Minimum computer resources required

typePentium processor
time needed for rundepends on duration and on chemistry used, but typically 1 hour CPU time required for 1 simulated hour (100 X 100 grid points at 1 km resolution)
storageup to tens of Gb for 1-year run with hourly output

Further information

documentationVITO reports, available on request (some in Dutch)
model referencesMensink C, K. De Ridder, N. Lewyckyj, L. Delobbe, L. Janssen, P. Van Haver, 2001. Computational aspects of air quality modelling in urban regions using an optimal resolution approach (AURORA). Large-scale scientific computing – lecture notes in computer science, 2179, 299-308.
webpage
additional information

Model properties

Model type

2D
3D
meteorology
chemistry & transport

Model scale

microscale
mesoscale
macroscale
short term
long term

Meteorological variables

Input data
u
v
w
ζ
pv
T
θ
θl
p
Gph
ρ
qv
qt
qlc
qf
qsc
qlr
qsh
qsg
qss
N
E
ε
K
zi
other variables i
other variables ii
other variables iii

Chemical substances

PrognosticDiagnosticDry depositionWet depositionInput data
SO2
NO
NO2
NOX
NH3
HNO3
O3
CH4
DMS
H2O2
VOC
C6H6
HCHO
CO
CO2
POP
PM 10
PM 2.5
PPM10
PM 0.1
PM 1
NH4
SO4
dust
sea salt
BC
POM
SOA
NO3
Other gases
1st radioactivity
2nd radioactivity
3rd radioactivity
Cd
Pb
other heavymetals
pesticides
1st radioactivity
2nd radioactivity
3rd radioactivity
remarks

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarksCartesian grid (Lambert projection)

Parametrizations

Chemistry & transport

photolysis rate
dry deposition
wet deposition
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)CBIV
wet phase chemistry (give details)CACM
more information

Aerosol chemistry

passive aerosol
dry aerosol
wet aerosol
sectional approach
modal approach
other
nucleation
coagulation
condensation
aerosol mixing
aerosol ageing
primary aerosol formation
aerosol-gas phase interactions
optical properties
give details

Initialization & boundary treatment

Initialization

chemistry & transport3-D fields interpolated from a larger-scale model such as CHIMERE, EURAD, TM4
meteorology

Input data (name sources for data, e.g. website)

orographyGTOPO30
land useCORINE, PELCOM, GLC2000
obstacles
vegetation
meteorologyARPS mesoscale model
concentrations
emissionsDetailed spatially explicit emissions are available for Flanders (N.-Belgium), for most relevant pollutants at 500 m resolution. Outside this area use is made of EMEP data (50-km resolution), and a downscaling method based on proxy data (land use, population density, ...) to achieve a better resolution (downscaling).
remarks

Data assimilation

Chemistry & transport
nudging technique
adjoint model
3D-VAR
4D-VAR
OI
details

Boundary conditions

Chemistry & transport
surfacesources: detailed spatially explicit emissions cadastre sinks: dry deposition
toprigid lid
lateral inflowinterpolation from large-scale fields
lateral outflowzero gradient

Nesting

Chemistry & transport
one way
two way
other
variables nested
nesting online
nesting offline
data exchange by array
data exchange by file
time step for data exchangevariable (typically 1 hour)
explain methodvia I/O statements
variables nested
other

Solution technique

Coordinate system and projection

Horizontal

cartesian
Lambert conformal
latitude / longitude
rotated lat. / long.

Vertical

z coordinate
surface fitted grid
pressurecoordinate
sigma coordinate
remarksAURORA employs exactly the same grid as its meteorological 'driver' (the ARPS model)

Numeric

Chemistry & transport

Grid

Arakawa A
Arakawa B
Arakawa C
Arakawa D
Arakawa E
uniform grid
nonuniform grid
Euler
Lagrange
Gauss

Time integration

explicit
split-explicit
semi-implicit
time step same as meteorology
otherMarchuk integration, chemistry employs internal time step

Spatial discretisation

scalar quantitiesfinite differencing
additional information
other
chemistry solver

Model resolution

Chemistry & transport

HorizontalVertical
max502000
min110

Domain size

Chemistry & transport

HorizontalVertical
max300020000
min403000

Model Validation and Application

Validation & evaluation

Used validation & evaluation methods

analytic solutions
evaluated reference dataset
model intercomparison
additional validation & evaluation efforts
remarks

Application examples

application examples* Simulation of full-year hourly concentration values of PAH's in Flanders, in the context of an Environment & Health study. * Study of the impact of urban vegetation on ozone formation. * Assessment of 'roof-on-ring', regarding the effect of cutting emissions from the Antwerp Ring highway on nearby benzene concentrations. * Simulation of the impact of urban sprawl in the Ruhr area on air quality and human exposure. [latter three studies are reported in http://www.vito.be/bugs/Deliverables/MESO_finalreport.doc]

Participation in specific model evaluation exercises

AQMEII
List experiments (AQMEII)
Cost728
List experiments (COST728)
HTAP
List experiments (HTAP)
MEGAPOLI
List experiments (MEGAPOLI)