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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.

MITRAS: Mikroskaliges Chemie, Transport- und Strömungsmodell

General information

Model name and version

short nameMITRAS
full nameMikroskaliges Chemie, Transport- und Strömungsmodell
revision2.2
date06-27-2005
last change

Responsible for this information

nameHeinke Schlünzen
instituteKlimaCampus, Meteorological Institute, University
addressBundesstr. 55
zip20146
cityHamburg
countryGermany
phone+49-40-42838 5082
fax+49-40-42838 5452
e-mailheinke.schluenzen(belongs-to)zmaw.de

Additional information on the model

Contact person for model code

same as person above
nameHeinke Schlünzen
instituteKlimaCampus, Meteorological Institute, University
divisionsBundesstr. 55
streetBundesstr. 55
zip20146
cityHamburg
countryGermany
phone+49-40-42838 5082
emailheinke.schluenzen(belongs-to)zmaw.de
fax+49-40-42838 5452

Model developer and model user

developer and user- Meteorologisches Inst., Univ. Hamburg - Alfred Wegener-Inst. f. Polar und Meeresforschung, Bremerhaven - Forschungszentrum Jülich, Abt. Sicherheit und Strahlenschutz, Germany - Division of Environmental Health and Risk Management, School of Geography, Earth and Enivonmental Sciences, University of Birmingham, UK

Level of Knowledge needed to operate model

basic
intermediate
advanced
remarksexperience with numerical models is essential to change the program. To run the model and receive reliable model answers and avoid 'garbige in garbige out' simulations an intermidiate experiance with numerical models is necessary.

Model use at your institution

operational
for research
other useteaching

Model code available?

is available?yes
more detailsFull model code for research purposes, model code with reduced features (see METRAS PC) public domain

Minimum computer resources required

typelarge frame computer (e.g. NEC), workstation, PC (linux)
time needed for runProblem dependent
storageA few tenMWords for full model

Further information

documentationPanskus H., Schlünzen K.H. (1997): Standards for writing and documentation Fortran 90 code for the MITRAS/METRAS model system; MITRAS Technical Report Nr. 1.
model referencesLópez S.D., Lüpkes C. & Schlünzen K.H. (2005): The effects of different k-e-closures on the results of a micro-scale model for the flow in the obstacle layer. Meteorol. Zeitschrift, 14, 781-792 Bohnenstengel S., Schlünzen K.H., Grawe D. (2004): Influence on thermal effects on street Canyon Circulations. Meteorol. Zeitschrift,Vol.13,381-386 Schlünzen K.H., Hinneburg D., Knoth O., Lambrecht M., Leitl B., Lopez S., Lüpkes C., Panskus H., Renner E., Schatzmann M., Schoenemeyer T., Trepte S. and Wolke R. (2003): Flow and transport in the obstacle layer - First results of the microscale model MITRAS. J. Atmos. Chem., 44, 113-130.
webpagehttp://www.mi.uni-hamburg.de/mitras
additional informationparallisation with openMP in test phase

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
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 gasespollen, passive tracers
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 schemeSeveral schemes (Prandtl-Kolmogoroc-Closure, TKE-Epsilon model, mixing length approach..)
deep convection
surface exchangeConstant flux layer; surface energy /humidity budget over land, constant temperature/humidity with Charnock (1955) for roughness over water
surface temperatureEnergy budget (force restore method)
surface humidityhumidity budget (force restore method)
radiationShort and long wave radiative fluxes: 2 way scheme; shading by mountains
unresolved orographic drag
radiation in vegetation2-way-schme with empirical absorbtion
radiation between obstacles2-way scheme
treatment of obstaclesblocking approach; local boundary conditions for momentum at building walls; building temperature and humidity same as outiside; vegetation with viscisty approach
clouds / rainKessler-type
remarks

Chemistry & transport

photolysis rate
dry depositionResistance 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 & transportzero concentrations; emission after some initalization pahse (~100 iteration steps)
meteorologyDynamic initialisation: calculation of balanced fields with pre-processors based on MITRAS, cold run starts with flat terrrain, restart uses MITRAS results to continue

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

orographyhigh resolution maps
land usehigh resolution maps
obstacleshigh resolution maps
vegetationhigh resolution maps
meteorologylocal measurements (e.g. tower or sounding) with pre-processor based on MITRAS; German Weather Service or other larger scale model results; profile from wind tunnel data
concentrationsmeasured data
emissionsdependent on vegetation (pollen); positions prescribed
remarksthe set-up of the model nneds to be different when comparing with (neutrally stratified) wind tunnel data or with data from the real atmosphere where the boundary layer can be several 100m high.

Data assimilation

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

Boundary conditions

MeteorologyChemistry & transport
surfaceSeveral options (constant values, energy budgets, constant fluxes)gradient zero or constant flux or fixed values or deposition flux
toprigid lid, absorbing layersgradient zero or constant flux or fixed values
lateral inflowmodified radiation boundary condition or fixed boundary normal wind, all other: zero gradient; comparison with wind tunnel data: initial inflow values kept at input pointsgradient zero or constant flux or fixed values
lateral outflowmodified radiation boundary condition for wind, all aother variables: zero gradientgradient zero or constant flux or fixed values

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
remarksfor buildings blocking approach

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 equationsAdams-Bashforth and centred in space for advection and diffusion (alternative: Crank Nicolson schme for diffusion); pressure implicit in time and centred; all other forward in time and centered
scalar quantitiesforward in time and upstream in space or 2nd/3rd order Weno and Eno schemes
additional informationpoisson equation solved with iterative schemes (IGCG, or multigrid, or BigStep)
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 quantitiesforward in time and upstream in space or 2nd/3rd order Weno and Eno schemes
additional information
other
chemistry solver

Model resolution

Meteorology

HorizontalVertical
max0,015500
min0,00020,2

Chemistry & transport

HorizontalVertical
max0,015500
min0,00020,2

Domain size

Meteorology

HorizontalVertical
max1 x 110000
min0,1 x 0,1300

Chemistry & transport

HorizontalVertical
max1 x 110000
min0,1 x 0,1300

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 examplesflow around single buidlings; flow in urban area; flow within stratified boundaries; flow above ice sheets; chemical reactions in the urban obstacle layer; flow, chemical reactions and dispersion within a forest

Participation in specific model evaluation exercises

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