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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.

OFIS: Ozone Fine Structure Model

General information

Model name and version

short nameOFIS
full nameOzone Fine Structure Model
revisionVersion 2.0
dateJuly 2003
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, Aristotle University of Thessaloniki (LHTEE, 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 programm. Information on the conditions for obtaining OFIS can be provided by the contact person.

Minimum computer resources required

typeExperience on PC and or POWERPC; extensive use on various workstation platforms (mainly IBM/RISC).
time needed for runFor a typical case of 1 year: 6 hours on a Pentium 4 at 2 GHz.
storageSame machine, same case: 32 Mbytes RAM. Disk space 1-10 Mbytes according to output required.

Further information

documentationRather good scientific documentation and user's manuals.
model referencesSahm P. and Moussiopoulos N., (1998), The OFIS model: An efficient tool for assessing ozone exposure and evaluating air pollution abatement strategies, Proceedings of the EUROTRAC2 Symposium 1998. Arvanitis A. and Moussiopoulos N. (2003), Coupling an aerosol module to a deterministic long term ozone exposure model, Proceedings of the 26th NATO/CCMS International Technical Meeting on Air Pollution Modelling and its Application, Instabul Technical University, Instabul, Turkey, 26-29 May, preprint, 267-278. Arvanitis A., Moussiopoulos N. and Karavakas Ch. (2003), Estimating long term urban exposure to particulate matter and ozone in Europe, Proceedings of the 4th International Conference on Urban Air Quality (R.S. Sokhi and J. Brechler eds), Charles University, Prague, Czech Republic, 25-27 March, 18-21.
webpagehttp://aix.meng.auth.gr/lhtee/projects/
additional informationIntended field of application: Evaluation of control strategies, exposure assessment and checking of the compliance with given EU or national legislation with regard to ozone in urban areas.

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 depositionYes
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)Chemical scheme for the EMEP MSC-W oxidant model.
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 details

Initialization & boundary treatment

Initialization

chemistry & transport
meteorologyMeteorology and Boxmodel: 24h prerun, 2D: initialised with boxmodel results: Background boundary layer concentrations are calculated with a multi-layer box model representing the local-to-regional conditions in the surroundings of the city considered. This model uses at input non-urban emission rates as well as regional scale model results for meteorological quantities and pollutant concentrations

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

orographyFlat terrain
land useNo
obstacles
vegetation
meteorologyMeteorological data such as daily average wind speed and direction as well as surface temperature and temperature lapse rate above the mixing layer, Thermophysical data and surface roughness depending on the land use are required.
concentrationsDaily or 3-hourly average regional background concentrations of NO, NO2, O3 and all other species included in the chemical reaction mechanism are needed for initialisation and for the lateral boundaries.
emissionsThe hourly non-urban, suburban and urban emission rates are to be provided in kg/(km2*h). It is appropriate that such data are organised in a gridded emission inventory.
remarks

Data assimilation

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

Boundary conditions

Chemistry & transport
surface
top
lateral inflowDaily or 3-hourly average regional background concentrations of NO, NO2, O3 and all other species included in the chemical reaction mechanism are needed for initialisation and for the lateral boundaries.
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 exchange
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 quantitiesPollutant transport and transformation downwind of the city (along the dominant wind direction) is calculated with a two-layer multibox model representing a substantially refined version of MARS-1D (version published in 1990).
additional informationOFIS simulates concentration changes due to chemical reactions and advection of species in each cell of the computational domain. The concentration values outside this domain coincide with the background concentrations used for the calculation of the boundary conditions.
other
chemistry solverDue to the modular structure of OFIS, chemical transformations can be treated by any suitable chemical reaction mechanism, the default being the EMEP MSC-W chemistry.

Model resolution

Chemistry & transport

HorizontalVertical
max5The second vertical layer is equal to the mixing height.
min1The first vertical layer reaches 90m.

Domain size

Chemistry & transport

HorizontalVertical
max15090
min

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 examplesApplications include the support of the European Commission in relation to the ozone strategy, the Auto Oil II study, the EU98 study, the INFOS project and the CITYDELTA intercomparison exercise.

Participation in specific model evaluation exercises

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