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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.

ADREA: ADREA

General information

Model name and version

short nameADREA
full nameADREA
revision
date
last change

Responsible for this information

nameJohn Bartzis
instituteUniversity of West Macedonia
addressBacola and Sialvera
zip50100
cityKozani
countryGreece
phone+30 24610 56620
fax+30 24610 21730
e-mailbartzis(belongs-to)uowm.gr

Additional information on the model

Contact person for model code

same as person above
nameJohn Bartzis
instituteUniversity of West Macedonia
divisionsBacola and Sialvera
street
zip50100
cityKozani
countryGreece
phone+30 24610 56620
emailbartzis(belongs-to)uowm.gr
fax+30 24610 21730

Model developer and model user

developer and userEnvironmental Technology Laboratory, University of West Macedonia Environmental Research Laboratory, National Centre for Scientific Research Demokritos

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 detailsOnly upon request in compiled form

Minimum computer resources required

typepc-windows / linux
time needed for run
storage

Further information

documentationBartzis, J.G., Venetsanos, A., Varvayanni, M., Catsaros, N., Megaritou, A. (1991) ADREA-I, A transient three-dimensional transport code for complex terrain and other applications, Nuclear Technology 94, 135–148.
model referencesBartzis J.G., Varvayanni, M., Venetsanos, A., Catsaros, N., Housiadas, C., Horsch, G., Statharas, J., Amanatidis, G.T., Megaritou, A., Konte, K., (1993) ADREA-I: A three-dimensional finite volume transport code for mesoscale atmospheric transport (the Cartesian version), Part I: The model description, Report DEMO 93/2 pt.1, Part II: Code Structure and User’s Manual DEMO 93/2, pt.2.
webpage
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

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 gasesgeneral passive pollutant (non reactive)
1st radioactivity
2nd radioactivity
3rd radioactivity
Cd
Pb
other heavymetals
pesticides
1st radioactivityradioactive pollutant with given half-life
2nd radioactivity
3rd radioactivity
remarks

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarks

Parametrizations

Meteorology

turbulence schemezero, one (k-l, k-ζ) or two-equations (k-ε) scheme
deep convection
surface exchangeIn the surface heat budget equation, the net radiative flux balances the fluxes of sensible, latent and soil heat.
surface temperature
surface humidity
radiationThe infrared radiation follows Pielke (1984). The net longwave irradiance is based on Stephens (1984).
unresolved orographic drag
radiation in vegetation
radiation between obstacles
treatment of obstacles
clouds / rainconstant drop model (Rogers, 1989)
remarks

Chemistry & transport

photolysis rate
dry depositionDeposition of gases based on the model of Waleck et al (1986), deposition of particles based on the model of Giorgi (1986)
wet depositionScavenging coefficient depending on vertical slip velocity and liquid water mass fraction
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
meteorologyOne-dimensional wind speed and temperature profiles are provided to be used as initial and boundary conditions. Models are also available for providing the meteorological input data. These are the code FILMAKER which provides meteorological three-dimensional fields from sparse observations and the code ADREA-diagn, a diagnostic meteorological model which provides mass-conserving three-dimensional wind fields

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

orographyThe topography is described by surfaces with the actual area and arbitrary orientation which are allowed to cross the rectangular computational cells (volume porosity and surface permeability concepts). Each surface is assigned specified properties depend
land useroughness and albedo
obstacles
vegetation
meteorologyOne-dimensional wind speed and temperature profiles from soundings are provided to be used as initial and boundary conditions.
concentrations
emissions
remarks

Data assimilation

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

Boundary conditions

MeteorologyChemistry & transport
surfaceThe concept of surface layer func-tions is adopted to avoid an excessive number of meshes near the ground due to very steep parameter gradients, occurring at the region.
top
lateral inflow
lateral outflow

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 exchangeuser defined (usually 1 hour)
explain methodupdating of boundary conditions
variables nestedu,v,w,T,P
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 equations
scalar quantities
additional informationFor the numerical solution, the SIMPLER/ADREA algorithm is used, based on the SIMPLER algorithm given in Patankar, (1980). The mixture mass conservation equation is turned to a full pressure (Poisson) including the transient term. Pressure correc-tion is avoided. Under-relaxation factors are also avoided.
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
max10500
min110

Chemistry & transport

HorizontalVertical
max10500
min110

Domain size

Meteorology

HorizontalVertical
max20010000
min505000

Chemistry & transport

HorizontalVertical
max20010000
min0.5100

Model Validation and Application

Validation & evaluation

Used validation & evaluation methods

analytic solutions
evaluated reference dataset
model intercomparison
additional validation & evaluation efforts

Evaluated reference dataset

Meteorology

u
v
w
T
qv
qlc
qsc
qlr
zi
other
testcase description
testcase references
used data set
reference for evaluation
remarks

Chemistry & transport

SO2
NO
NO2
NOX
NH3
HNO3
O3
VOC
C6H6
HCHO
CO
CO2
POP
other
testcase description
testcase references
used data set
reference for evaluation
remarks

Model intercomparison

Meteorology

u
v
w
T
qv
qlc
qsc
qlr
zi
other
testcase description
testcase references
used data set
reference for evaluation
remarks

Chemistry & transport

SO2
NO
NO2
NOX
NH3
HNO3
O3
VOC
C6H6
HCHO
CO
CO2
POP
other
testcase description
testcase references
used data set
reference for evaluation
remarks
remarks

Application examples

application examplesVarvayanni, M., Catsaros, N., Bartzis, J.G., Konte, K., Horsch, G.M. (1995) Wind Flow Simulation over the Greater Athens Area with a Highly Resolved Topography, Atmospheric Environment 29, 3593–3604. S. Andronopoulos, J.G. Bartzis, M. Varvayanni & N. Catsaros (1997) ADREA-I predictions on NOx concentrations over the Greater Athens Area, International Scientific Workshop “Athens 2004 Air Quality Study”, Athens, February 1997. M. Varvayanni, J.G. Bartzis, N. Catsaros, P. Deligiannis, C.E. Elderkin (1997) Simulation of Nocturnal Drainage Flows Enhanced by Deep Canyons: The Rocky Flats Case, Journal of Applied Meteorology, 36, 775–791. M. Varvayanni, J.G. Bartzis, N. Catsaros, G.Graziani, P. Deligiannis (1996), Numerical simulation of daytime mesoscale flow over highly complex terrain: the Alps case, Atmospheric Environment.

Participation in specific model evaluation exercises

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