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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 (UoT-GR): Model for the Atmospheric Dispersion of Reactive Species

General information

Model name and version

short nameMARS (UoT-GR)
full nameModel for the Atmospheric Dispersion of Reactive Species
revisionVersion 3.0
dateMarch 2009
last change

Responsible for this information

nameNicolas Moussiopoulos
instituteAristotle University Thessaloniki, Laboratory of H
addressP.O.Box 483, Aristotle University Thessaloniki
zipGR-54124
cityThessaloniki
countryGreece
phone+30 2310 996011
fax+30 2310 996012
e-mailmoussio(belongs-to)vergina.eng.auth.gr

Additional information on the model

Contact person for model code

same as person above
nameNicolas Moussiopoulos
instituteAristotle University Thessaloniki, Laboratory of H
divisionsP.O.Box 483, Aristotle University Thessaloniki
streetBox 483
zipGR-54124
cityThessaloniki
countryGreece
phone+30 2310 996011
emailmoussio(belongs-to)vergina.eng.auth.gr
fax+30 2310 996012

Model developer and model user

developer and userLaboratory of Heat Transfer and Environmental Engineering (LHTEE), Aristotle University Thessaloniki (AUT)

Level of Knowledge needed to operate model

basic
intermediate
advanced
remarksGood knowledge of UNIX or LINUX as oparating systems and FORTRAN as programming language.

Model use at your institution

operational
for research
other use

Model code available?

is available?no
more detailsThe model is not a public domain programme. Information on the conditions for obtaining MARS can be provided by the contact person.

Minimum computer resources required

typeSufficient experience on Intel Pentium and Core2, as well as on POWERPC architectures; extensive use on various workstation platforms (mainly IBM/RISC, but also Hewlett Packard and DEC Alpha); enough experience on IBM SP2, Siemens VP400EX, and NEC SX-8/SX-9 supercomputers.
time needed for runOn a SIEMENS S600/20 for 7600 gridpoints : with KOREM 400 times faster than reality, with RADM 25 times faster than reality.
storageSame machine, same case: with KOREM 35 Mbytes RAM, with RADM 120 Mbytes RAM. Disk space: 10-100 Mbytes according to output required.

Further information

documentationManuals available in three languages.
model referencesMoussiopoulos N. and Papagrigoriou S., eds. (1997), Athens 2004 Air Quality, Proceedings of the International Scientific Workshop \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'Athens 2004 Air Quality Study\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\', Athens, 18-19 February 1997, 183 pp. Available also as a CD-ROM from http://www.envirocomp.org/ Moussiopoulos N., Sahm P. and Kessler Ch. (1995), Numerical simulation of photochemical smog formation in Athens, Greece - a case study, Atmos. Environ. 29, 3619-3632. Moussiopoulos N., Sahm P., Kunz R., Vögele T., Schneider Ch. and Kessler Ch. (1997), High resolution simulations of the wind flow and the ozone formation during the Heilbronn ozone Experiment, Atmos. Environ. 31, 3177-3186.
webpagehttp://aix.meng.auth.gr/lhtee/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 rateDepending on zenith angle
dry depositionDry deposition is calculated following the resistance model concept.
wet deposition
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)Various chemical reactions schemes: + KOREM 20 species, 39 reactions + EMEP 66 species, 139 reactions + RADM2 56 species, 156 reactions + RACM 72 species, 234 reactions
wet phase chemistry (give details)
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 detailsUses ISORROPIA aerosol thermodynamic equilibrium model.

Initialization & boundary treatment

Initialization

chemistry & transport
meteorologyEither data assimilation or 24h prerun

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

orographyOrography height for each grid location.
land useLanduse (for each grid location), the latter serving as a basis for calculating biogenic emissions.
obstacles
vegetation
meteorologyMeteorological data such as wind speed in x- and y-direction as well as temperature, TKE, surface roughness, Monin-Obukhov length and friction velocity are required. Two-way coupling with the meteorological model MEMO is supported.
concentrationsRegional background concentrations of NO, NO2, O3 and all other species included in the chemical reaction mechanism either from measurements of from large scale model application.
emissionsThe emissions are provided in kg/h/cell area for each grid location. It is appropriate that such data are organised in an emission inventory.
remarks

Data assimilation

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

Boundary conditions

Chemistry & transport
surface
top
lateral inflowRegional background concentrations of NO, NO2, O3 and all other species included in the chemical reaction mechanism either from measurements of from large scale model application.
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 exchangeVariable time step
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 information
other
chemistry solver

Model resolution

Chemistry & transport

HorizontalVertical
max10 km500 m
min0.5 km20 m

Domain size

Chemistry & transport

HorizontalVertical
max500 km10000 m
min10 km20 m

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 examplesImplements the model core of the Air Quality Management System developed for the Republic of Cyprus: Moussiopoulos N., Douros I., Tsegas G., Kleanthous S. and Chourdakis E. (2010), An air quality management system for Cyprus, Global Nest Journal 12, 92-98.

Participation in specific model evaluation exercises

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