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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.

MCCM: Mesoscale Climate Chemistry Model

General information

Model name and version

short nameMCCM
full nameMesoscale Climate Chemistry Model
revision
date30.6.2006
last change

Responsible for this information

namePeter Suppan
instituteInstitute for Meteorology and Climate Research (IM
addressKreuzeckbahnstr. 19
zip82467
cityGarmisch-Partenkirchen
countryGermany
phone08821-183-239
fax
e-mailpeter.suppan(belongs-to)imk.fzk.de

Additional information on the model

Contact person for model code

same as person above
nameRenate Forkel
instituteInstitute for Meteorology and Climate Research (IMK-IFU)
divisions
streetKreuzeckbahnstr. 19
zip82467
cityGarmisch-Partenkirchen
countryGerman
phone08821/183 265
emailrenate.forkel@imk.fzk.de
fax08821/183243

Model developer and model user

developer and userMCCM was developed by several people at the Fraunhofer Institut für Atmosphärische Umweltforschung (now IMK-IFU) under the lead of Georg Grell. Almost all members of the modeling department of this institute contributed to the development of MCCM: Georg Grell (present affiliation: NOAA), Stefan Emeis, Renate Forkel, Edwin Haas, Richard Knoche, Rainer Schmitz (present affiliation: Universidad de Chile), Thomas Schoenemeyer (present affiliation NEC), Winfried Seidl (deceased), Gerhard Smiatek, Peter Suppan, William R. Stockwell (Present affiliation: Howard University). Exception: The MPP part is from J. Michalakes. During the last time most modifactions were made by R. Forkel (IMK-IKU). The model has a wide variety of applications within in Europe with specific tasks on: air quality (short and long term); climate change (BAYFORUV); model comparison;

Level of Knowledge needed to operate model

basic
intermediate
advanced
remarksHandling of input and output is mostly identical to MM5

Model use at your institution

operational
for research
other usesee http://imk-ifu.fzk.de/wetter

Model code available?

is available?yes
more detailsOn request (mail to renate.forkel@imk.fzk.de)

Minimum computer resources required

typeUnix or Linux
time needed for runMinutes - months (depends on length of simulated episode, grid point number, horizontal resolution, and number of available CPUs)
storagesome MB to some TB (depends on length of simulated episode, grid point number, and selected output frequency)

Further information

documentationShort manual available in english. For the meteorological part refer to the MM5 Tutorial Class Notes and User’s Guide, http://www.mmm.ucar.edu/mm5/).
model referencesGrell, G.A., S. Emeis, W.R. Stockwell, T. Schoenemeyer, R. Forkel, J. Michalakes, R. Knoche and W. Seidl, 1999: Application of a multiscale, coupled MM5/Chemistry Model to the complex terrain of the VOTALP Valley Campaign. Atmospheric Environment, 34, 1435-1453. Forkel, R. and R. Knoche, 2006: Regional climate change and its impacts on photooxidant concentrations in southern Germany: Simulations with a coupled regional climate-chemistry model, J. Geophys. Res., doi: 10.1029/2005JD006748. Suppan, P., and G. Schädler, 2004: The impact of highway emissions on ozone and nitrogen oxide levels during specific meteorological conditions, Sci. Total Environ., 334–335, 215– 222, doi:10.1016/j.scitotenv.1016 2004.04.060
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 gasesseveral more, depends on chosen mechanism
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 scheme
deep convection
surface exchange
surface temperature
surface humidity
radiation
unresolved orographic drag--
radiation in vegetation
radiation between obstacles
treatment of obstacles
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 & transportHorizontally homogeneous typical values or fields extracted from previous simulation
meteorologyFrom global model output (identical to MM5)

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

orographyUSGS, see http://www.mmm.ucar.edu/mm5/
land useUSGS, see http://www.mmm.ucar.edu/mm5/ or CORINE for Europe
obstacles
vegetation
meteorology
concentrationsto be specified by the user, no special data base
emissions
remarks

Data assimilation

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

Boundary conditions

MeteorologyChemistry & transport
surfaceSoil modeldeposition
top
lateral inflowfrom mother domain
lateral outflowzero gradient

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 definedUser definded
explain method
variables nestedall prognostic variables
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 equationssee MM5 online tutorial
scalar quantitiessee MM5 online tutorial
additional information
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
otherQSSA or implicit solvers for chemistry mechanism

Spatial discretisation

scalar quantitiessame as met.
additional information
other
chemistry solverDifferent solvers possible (QSSA, Rosenbrock, SEULEX)

Model resolution

Meteorology

HorizontalVertical
maxca. 20010 - 1000
min> 1height dependent

Chemistry & transport

HorizontalVertical
maxsame as met.same as met.
minsame as met.same as met.

Domain size

Meteorology

HorizontalVertical
max500025000
min5015000

Chemistry & transport

HorizontalVertical
maxsame as met.same as met.
minsame as met.same as met.

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)