Welcome guest. Please login.

List, classification & detail view

Note:
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.

ECHAM5-MOZ: MOZART (Model of Ozone and Related Chemical Tracers) version 2.4 in ECHAM5

General information

Model name and version

short nameECHAM5-MOZ
full nameMOZART (Model of Ozone and Related Chemical Tracers) version 2.4 in ECHAM5
revision1.6
date11th of December 2006
last change

Responsible for this information

nameRast Sebastian
institute
addressMax-Planck-Institut fuer Meteorologie, Bundesstr. 53, 20146 Hamburg
zip
city
country
phone+49 40 41173425
fax
e-mailsebastian.rast(belongs-to)zmaw.de

Additional information on the model

Contact person for model code

same as person above
nameRast Sebastian
institute
divisionsMax-Planck-Institut fuer Meteorologie, Bundesstr. 53, 20146 Hamburg
street
zip
city
country
phone+49 40 41173425
emailsebastian.rast(belongs-to)zmaw.de
fax

Model developer and model user

developer and userSebastian Rast, MPI-Hamburg Martin Schultz, Forschungszentrum Juelich Isabelle Bey, EPF-Lausanne

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?no
more detailsThe model code is not freely available at the moment, but can be used in the framework of cooperations

Minimum computer resources required

type
time needed for run
storage

Further information

documentation
model references
webpage
additional information

Model properties

Model type

2D
3D
meteorology
chemistry & transport

Model scale

microscale
mesoscale
macroscale
short term
long term

Meteorological variables

Input data
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 gases
1st radioactivity
2nd radioactivity
3rd radioactivity
Cd
Pb
other heavymetals
pesticides
1st radioactivity
2nd radioactivity
3rd radioactivity
remarksnees a sulfate climatology and chemical upper boundary conditions at top of model

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarks

Parametrizations

Chemistry & transport

photolysis rateMOZART2.4 tables
dry depositiondry deposition flux model using a description of the flux by the use of various resistances (Ganzeveld, L.: Surface-Atmosphere Trace Gas and Aerosol Exchanges on the Global Scale, PhD thesis, University of Utrecht, The Netherlands, 2001.
wet depositionWet deposition is calculated in a similar way as for aerosols (Stier, Ph. et al.: The aerosol climate model ECHAM5-HAM, Atmos. Chem. Phys. Discuss. 4, 5551-5623 (2004).) Below cloud scavenging of HNO3 is treated using the equations on page 1006 of Seinfaled, J.H. and Pandis, S.N.: Atospheric Chemistry and Physics: From Air pollution to Climate change, Johm Wiley, New York, 1998.
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)A detailed list of the reactions can be found in: Horowitz et al.: A global simulation of tropospheric ozone and realted tracers: Description and evaluation of MOZART, version 2, J. Geophys. Res. 108(D24), 4784, doi: 10.1029/2002JD002853 (2003).
wet phase chemistry (give details)only the dissociation reaction of N2O5 on sulfate particles is taken into account
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 detailsonly sulfate climatology is used

Initialization & boundary treatment

Initialization

chemistry & transportThere initialization files but the essential is to start from the results provided by a sufficiently long pre-run (at least 2-5 years)
meteorology

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

orography
land use
obstacles
vegetation
meteorology
concentrations
emissions
remarks

Data assimilation

Chemistry & transport
nudging technique
adjoint model
3D-VAR
4D-VAR
OI
detailsThe model can be run in a free (climatological) mode without the prescription of any meteorological data or in a 'nudged' mode using the vorticity, divergence, temperature, surface pressure and sea surface temperature of e.g. the analysis done at ECMWF. The nudging consists in a relaxation of the quantities calculated in the model versus the prescribed values.

Boundary conditions

Chemistry & transport
surfacesurface emissions and dry deposition are included in the vertical diffusion equation as lower boundary conditions
toprelaxation of O3, NOx, HNO3, N2O5 versus climatological values above the meteorological tropopause
lateral inflow
lateral outflow

Nesting

Chemistry & transport
one way
two way
other
variables nested
nesting online
nesting offline
data exchange by array
data exchange by file
time step for data exchangeeach time step
explain methodonline chemistry calculation
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

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
othermass-conserving semi Langrangian (Lin & Rood)
chemistry solverFor most species an implicit Euler algorithm is employed. The respective equations are transformed into optimized code by a preprocessor.

Model resolution

Chemistry & transport

HorizontalVertical
max
min

Domain size

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)