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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.

MEMO (UoT-GR): Mesoscale Model

General information

Model name and version

short nameMEMO (UoT-GR)
full nameMesoscale Model
revisionVersion 7.0
dateSeptember 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 MEMO 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 runFor the typical case of a 50x50 grid size and 4 inert pollutants, the simulation of 1 day needs 20 min of computing (real) time. (On an Intel Core2Duo Workstation).
storageFor the same typical case: 20 Mbytes RAM. Disk space: 50-120 Mbytes needed for the output files. Data files from nested runs can occupy an additional 400 Mbytes

Further information

documentationComplete documentations available in three languages, ranging from the scientific description down to users manuals with detailed source code documentation.
model referencesMoussiopoulos, N. (1989) Mathematische Modellierung mesoskaliger Ausbreitung in der Atmosphaere, Fortschr.-Ber, VDI, Reihe 15, Nr. 64, pp. 307. Kunz R. and Moussiopoulos N. (1995) Simulation of the wind field in Athens using refined boundary conditions, Atmos. Environ. 29, 3575-3591. 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

PrognosticDiagnostic
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 iTurbulence data, deposition, clouds
other variables iiOptionally concentrations of inert pollutants
other variables iiiGridded precipitation data can optionally be provided for calculating soil infiltration and moisture profiles.

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

Meteorology

turbulence schemeOptionally zero-, one- and two-equation schemes.
deep convection
surface exchangeSurface energy balance, Monin-Obukhov length theory.
surface temperatureSurface energy balance.
surface humidityParameterised (function of saturation).
radiationEfficient scheme based on the emissivity method for longwave radiation and an implicit multilayer method for shortwave radiation.
unresolved orographic drag
radiation in vegetation
radiation between obstacles
treatment of obstacles
clouds / rainClouds only diagnostically, Gridded precipitation data can optionally be provided for calculating soil infiltration and moisture profiles. No ice.
remarks

Chemistry & transport

photolysis rate
dry depositionBig-leaf model.
wet deposition
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)
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
meteorologyInitialisation is performed with suitable diagnostic methods: A mass-consistent initial wind field is formulated using an objective analysis model. Scalar fields are initialised using appropriate interpolating techniques. Data needed to apply the diagnostics methods may be derived either from observations or from larger scale simulations.

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

orographyOrography height
land useSurface type are to be provided for each grid location; thermophysical data (albedo, volumetric heat capacity, heat conductivity) are needed for each surface type.
obstacles
vegetation
meteorologyOne dimensional profile of temperature and wind data are provided to be used either for the initial state or time-dependant boundary conditions. Meteorological input is restricted to the large-scale information (i.e. synoptic conditions). Gridded precipitation data can optionally be provided for calculating soil infiltration and moisture profiles.
concentrations
emissionsEmissions of inert pollutans are provided in kg/h/cell area for each grid location.
remarksTwo-way coupling with the chemical dispersion model MARS-aero is supported. On each model timestep, MARS-aero provides concentration fields for aerosol species which are then assimilated back into the radiation module of MEMO in order to simulate the aerosol radiative effects.

Data assimilation

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

Boundary conditions

MeteorologyChemistry & transport
surfaceThe lower boundary coincides with the ground (or, more precisely, a height above ground corresponding to its aerodynamic roughness). For the nonhydrostatic part of the mesoscale pressure perturbation, inhomogeneous Neumann conditions are imposed. All othe
topNeumann for the horizontal velocity components and the potential temperature. To ensure non-reflectivity, a radiative condition is used for the hydrostatic part of the mesoscale pressure perturbation. For the nonhydrostatic part of the mesoscale pressure
lateral inflowRadiation conditions for u,v,w, potential temperature and pressure. For the nonhydrostatic mesoscale pressure perturbation, homogeneous Neumann conditions are used.
lateral outflowsee above

Nesting

MeteorologyChemistry & transport
one way
two way
other
variables nested
nesting online
nesting offline
data exchange by array
data exchange by file
time step for data exchange5 - 30 seconds
explain method
variables nested
otherMultiple domains can be nested on each nesting level.

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

Meteorology

Grid

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

Time integration

explicit
split-explicit
semi-implicit
other

Spatial discretisation

momentum equationsThe conservation equations for mass, momentum, are solved.
scalar quantitiesThe conservation equations for scalar quantities as potential temperature, turbulent kinetic energy and specific humidity are solved.
additional informationFast elliptic solver, which is based on fast Fourier analysis in both horizontal directions and Gaussian elimination in the vertical direction.
other

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

Meteorology

HorizontalVertical
max10 km500 m
min0.5 km20 m

Chemistry & transport

HorizontalVertical
max
min

Domain size

Meteorology

HorizontalVertical
max500 km10000 m
min1 km

Chemistry & transport

HorizontalVertical
max
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 examplesMany applications including the Auto-Oil study, simulations of the wind flow in the Valley of Mexico, the Heilbronn ozone experiment, the Air Quality assessment for the new airport in Athens, extended studies for the Greater Athens and Thessaloniki areas and several other urban air quality studies (Stuttgart area, Milano conurbation, Casablanca, Barcelona, several cases in Switzerland, Lisbon, Strasbourg, Marseille, Medellin etc.) Implements the meteorological 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)