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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.

M2UE: Microscale Model for Urban Environment

General information

Model name and version

short nameM2UE
full nameMicroscale Model for Urban Environment
revision
date
last change

Responsible for this information

nameRoman Nuterman
instituteTomsk State University
address36, Lenin ave.
zip634050
cityTomsk
countryRussia
phone
fax
e-mailnutrik(belongs-to)gmail.com

Additional information on the model

Contact person for model code

same as person above
nameRoman Nuterman
instituteTomsk State University
divisions36, Lenin ave.
street
zip634050
cityTomsk
countryRussia
phone
emailnutrik(belongs-to)gmail.com
fax

Model developer and model user

developer and userRoman Nuterman (Tomsk State University), Alexander Starchenko (Tomsk State University) and Alexander Baklanov (Danish Meteorological Institute)

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

typeLinux or Windows PC
time needed for rungrid dependent
storageproblem dependent

Further information

documentation
model referencesNuterman R.B., Starchenko A.V. (2007) Spatial model for forecast of vehicular emission distribution in urban built-up areas // Atmospheric and Oceanic Optics, vol. 20, No.10, p.837-841 Nuterman R.B., Starchenko A.V., Baklanov A.A., 2007: Development and analysis of microscale meteorological model for airflow investigation in urban canopy. J. of Computational Technologies, Vol. 13, Special issue 3, P. 37-43. Baklanov A. A. and R. B. Nuterman (2009): Multi-scale atmospheric environment modelling for urban areas. Adv. Sci. Res., 3, 53-57.
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 iConcentrations for passive scalar
other variables iiTraffic induced turbulence
other variables iiiUrban vegetation

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 gasespassive gas
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 schemestandard k - ε model, Craft's NLEVM model
deep convection
surface exchangeChieng-Launder wall functions
surface temperature
surface humidity
radiation
unresolved orographic drag
radiation in vegetation
radiation between obstacles
treatment of obstaclesexplicit (complex geometry via wall functions)
clouds / rain
remarks

Chemistry & transport

photolysis rate
dry deposition
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 & transportinitialized with quasi empirical or measured profiles
meteorologyinitialized with quasi empirical or measured profiles

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

orographyno
land useno
obstaclesreal positions of buildings
vegetationreal position of vegetation
meteorologyinflow boundary conditions (wind tunnel, field data or quasi empirical relation)
concentrationsidem
emissionsinflow boundary conditions (wind tunnel, field data or quasi empirical relation)
remarks

Data assimilation

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

Boundary conditions

MeteorologyChemistry & transport
surfacewall functions for turbulent variables and mean flowNeumann
topOptions: Neumann, Dirichlet, periodicNeumann, Dirichlet
lateral inflowOptions: Neumann, Dirichlet, periodicNeumann, Dirichlet
lateral outflowOptions: Neumann, Dirichlet, periodicNeumann, Dirichlet

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 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
otherfully implicit

Spatial discretisation

momentum equationsfinite volume method, 2nd order MLU (Monotone Linear-Upwind) van Leer scheme for advection and 2nd order central difference scheme for diffusion
scalar quantitiesfinite volume, 2nd order MLU (Monotone Linear-Upwind) van Leer scheme for advection and 2nd order central difference scheme for diffusion
additional informationequations are solved by the Buleev's explicit method of incomplete factorization
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
otherfully implicit

Spatial discretisation

scalar quantities
additional information
other
chemistry solver

Model resolution

Meteorology

HorizontalVertical
max
min

Chemistry & transport

HorizontalVertical
max
min

Domain size

Meteorology

HorizontalVertical
max
min

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 examples

Participation in specific model evaluation exercises

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