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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.

MARS (UoA-PT): Model for the Atmospheric dispersion of reactive species

General information

Model name and version

short nameMARS (UoA-PT)
full nameModel for the Atmospheric dispersion of reactive species
revisionVersion 2.0
date1995
last change

Responsible for this information

nameAna Isabel Miranda
instituteUniversidade de Aveiro
addressUniversidade de Aveiro, Dept. Ambiente e Ordenamento
zip3810
city193 Aveiro
countryPortugal
phone00351234370200
fax00351234429290
e-mailaicm(belongs-to)dao.ua.pt

Additional information on the model

Contact person for model code

same as person above
nameAna Isabel Miranda
instituteUniversidade de Aveiro
divisionsUniversidade de Aveiro, Dept. Ambiente e Ordenamento
street
zip3810
city193 Aveiro
countryPortugal
phone00351234370200
emailaicm(belongs-to)dao.ua.pt
fax00351234429290

Model developer and model user

developer and userDeveloper: Aristotle University (Thessaloniki - Greece) User: University of Aveiro (Portugal)

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?yes
more details

Minimum computer resources required

typePC Linux
time needed for rundepends on domain, resolution and chemical mechanism
storageminimum

Further information

documentationMoussiopoulos, N., 1995. MARS: version 2.0 – User’s Guide. Aristotle University, Thessaloniki.
model referencesMoussiopoulos, N., Sahm, P., and Kessler, C., Numerical simulation of photochemical smog formation in Athens, Greece a case study. Atmospheric Environment, 29, pp. 3619-3632, 1995.
webpagehttp://aix.meng.auth.gr/lhteee/projects/
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
remarks

Parametrizations

Chemistry & transport

photolysis rateAccording to the zenith angle
dry depositionResistance model concept
wet depositionNo wet deposition
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)2 chemical reaction mechanisms: KOREM (20 species in 39 reactions); EMEP (66 species and 139 reactions)
wet phase chemistry (give details)no wet phase chemistry
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 & transportThree-dimensional wind field from MEMO, boundary conditions
meteorology

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

orographySNIG- National geographic Information System (http://snig.igeo.pt)
land useCorine Land Cover
obstacles
vegetation
meteorologyFrom MEMO model (wind speed and direction, temperature, TKE, roughness, Monin-Obukhov length and friction velocity.
concentrationsFrom regional air quality campaigns.
emissionsNational emission inventory
remarks

Data assimilation

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

Boundary conditions

Chemistry & transport
surface
top
lateral inflowBackground concentrations of NO2, O3, CO, CH4, alkanes, olefins and aromatics
lateral outflow

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 exchangevariablr
explain method
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
remarks

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
other

Spatial discretisation

scalar quantities
additional informationplease refer to the technical guide
other
chemistry solver

Model resolution

Chemistry & transport

HorizontalVertical
max10500
min0.520

Domain size

Chemistry & transport

HorizontalVertical
max50010000
min1020

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 examplesBORREGO, C.; MARTINS, H.; TCHEPEL, O.; SALMIM, L.; MONTEIRO, A. e MIRANDA, A.I. - How urban structure can affect city sustainability from an air quality perspective. Journal of environmental modeling and software,2005 (In press). MIRANDA, A.I. - An integrated numerical system to estimate air quality effects of forest fires. Int. J. Wildland Fire 13(2); pp. 217-226; 2004. BORREGO, C.; TCHEPEL, O., COSTA, A.M.; MARTINS, H.; FERREIRA, J.; - Urban population exposure to particulate air pollution induced by road transport. In 27th Int. Tech. Meeting of NATO-CCMS on 'Air Pollution Modelling and its Application', Banff, Alberta, Canada, 25-29 October 2004 - Air Pollution Modelling and its Application XVI, Eds Carlos Borrego and Ann-Lise Norman, Kluwer Academic/ Plenum Publishers, New York, pp.?-?, in press. BORREGO, C.; MARTINS, H.; CARVALHO, A.; CARVALHO, A.C.; LOPES, M.; VALENTE, J.; MIRANDA, A.I. - Portuguese power plants impact on air quality. In Air Pollution 2004, Rhodes, Greece, 30 June – 2 July 2004 – Air Pollution XII, Eds. C.A. Brebbia, WIT Press, Southampton, UK, pp. 201 – 211. FERREIRA, J.; CARVALHO, A.; CARVALHO, A.C., MONTEIRO, A.; MARTINS, H.; MIRANDA, A.I and BORREGO, C. - Chemical Mechanisms in two photochemical modelling systems: a comparison procedure. In Int. Tech. Meeting of NATO-CCMS on 'Air Pollution Modelling and its Application', 26th, Istanbul, Turkey, 26-30 May 2003 - Air Pollution Modelling and its Application XVI, Eds Carlos Borrego and Selahattin Incecik, Kluwer Academic/ Plenum Publishers, New York, pp. 87-96.

Participation in specific model evaluation exercises

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