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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 (UoA-PT): Mesoscale meteorological model

General information

Model name and version

short nameMEMO (UoA-PT)
full nameMesoscale meteorological model
revisionVersion 5.0
dateApril 1994
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 userDevelopers: Karlsrue University (Germany), 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 size and resolution
storageMinimum

Further information

documentationMEMO The non-hydrostatic mesoscale model, Version 5.0 - A Technical reference. Karlsruhe, 1994.
model referencesFlassak, T, Moussiopoulos, N., 1987, Application of an efficient non-hydrostatic mesoscale model. Boundary Layer Meteorology 41, pp.135- 147. Kunz, R. and Moussiopoulos N., 1995, Simulations of the wind field in Athens using refined boundary conditions, Atmospheric Environment, 24, pp. 3575-3591. Borrego, C., Carvalho, A.C., Miranda, A.I., 1999, Numerical simulation of wind field over complex terrain, in: Measuring and Modelling Investigation of Environmental Processes, R. San-Jose, ed., WIT Press, U.K.
webpagehttp://pandora.meng.auth.gr/mds/showlong.php?id=20&MTG_Session=bf81494cd917ad8b248e2b3f6cfdeecd
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 i
other variables ii
other variables iii

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarksMEMO is a non-hydrostatic model.

Parametrizations

Meteorology

turbulence scheme1- Pandolfo (exchange coeficients) 2- Schumman 3- K-theory 4- K-e closure 5- Transilient turbulence theory
deep convection
surface exchangesurface energy balance, Monin-Obukhnov lenght theory
surface temperatureSurface energy balance
surface humidityPlease refer to the technical reference
radiationRadiative transfer calculated 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 / rainNot considered
remarks

Initialization & boundary treatment

Initialization

chemistry & transport
meteorologyFrom meteo and landuse and orography data it creates meteo variable fields that characterize the synoptical state, through interpolation.

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

orographySNIG-National Geographic Information System : http://snig.igeo.pt
land useCorine Land Cover
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).
concentrations
emissions
remarks

Data assimilation

Meteorology
nudging technique
adjoint model
3D-VAR
4D-VAR
OI
details

Boundary conditions

Meteorology
surfaceThe lower boundary coincides with the ground. For mesoscale pressure perturbation, inhomogeneous Neumann consitions are imposed. All other consitions at the lower boundary follow the onin-Obukhov similarity theory.
topNeumann boundary conditions are imposed for horizontal velocity components and potential temperature. For the mesoscale pressure perturbation homogeneous staggered Dirichlet conditions are impose.
lateral inflowHomogeneous Neumann boundary conditions.
lateral outflowHomogeneous Neumann boundary conditions.

Nesting

Meteorology
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

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 equationsplease refer to the techical reference.
scalar quantitiesIncludes thermal energy, water vapour, turbulent kinetic energy and polutant concentrations. For more details, please refer to the technical reference.
additional information
other

Model resolution

Meteorology

HorizontalVertical
max10500
min0.520

Domain size

Meteorology

HorizontalVertical
max50010000
min120

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)