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.

MOCAGE: Modèle de Chimie Atmosphérique à Grande Echelle

General information

Model name and version

short nameMOCAGE
full nameModèle de Chimie Atmosphérique à Grande Echelle
revision2.0
date2006
last change

Responsible for this information

nameVincent-Henri Peuch
instituteMétéo-France
address42 avenue G. Coriolis
zip31057
cityToulouse
countryFrance
phone+33 5 61 07 96 09
fax+33 5 61 07 96 10
e-mailvincent-henri.peuch(belongs-to)meteo.fr

Additional information on the model

Contact person for model code

same as person above
nameVincent-Henri Peuch
instituteMétéo-France
divisions42 avenue G. Coriolis
street
zip31057
cityToulouse
countryFrance
phone+33 5 61 07 96 09
emailvincent-henri.peuch(belongs-to)meteo.fr
fax+33 5 61 07 96 10

Model developer and model user

developer and userModel developers : - core team at Meteo-France/CNRM (V.-H. Peuch et al.) - CERFACS (D. Cariolle et al.) - Laboratoire d'Aerologie (J.-L. Attie et al.) Model users : - CNRM, CERFACS, Laboratoire d'Aerologie (research labs) - Meteo-France, Prev'Air (operations) - National Met Services : Morocco, Korea, Roumania, Spain(?)

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 detailsfreely in the framework of research collaborations (MoU needed)

Minimum computer resources required

typeCode is ported on Linux clusters
time needed for runHighly dependent on platform and model version : from ~10 minutes (simplified chemisty, low res.) to 2 hours per 24h generally
storageOutputs are user defined : depends on domain, number of chemical variables and frequency of output...

Further information

documentationContact : Vincent-Henri.Peuch@meteo.fr
model referencesOver 15 peer-reviewed papers contain MOCAGE results. A series of three articles of general presentation and validation of MOCAGE is in preparation (08/2006). Josse B., Simon P. and V.-H. Peuch, 2004 : Rn-222 global simulations with the multiscale CTM MOCAGE, Tellus, 56B, 339-356. Dufour, A., M. Amodei, G. Ancellet and V.-H. Peuch, 2004 : Observed and modelled 'chemical weather' during ESCOMPTE, Atmos. Res., 74 (1-4), 161-189. Pradier, S., J.-L. Attié, M. Chong , J. Escobar, V.-H. Peuch, J.-F. Lamarque, B. Khattatov and D. Edwards, 2006 : Evaluation of 2001 springtime CO transport over West Africa using MOPITT CO measurements assimilated in a global chemistry transport model, Tellus, 58B, n°3, 163-176.
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 gasesall RACM species (Stockwell et al., 1997)
1st radioactivity
2nd radioactivity
3rd radioactivity
Cd
Pb
other heavymetals
pesticides
1st radioactivityCesium 137
2nd radioactivityIodine 131
3rd radioactivityRadon 222, Lead
remarks- For radioactivity, half-life, solubility and deposition parameters can be user defined. - For aerosols, on-going validation based on the organic package ORILAM (Tulet et al., 2005).

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarks

Parametrizations

Chemistry & transport

photolysis ratePre-computed monthly look-up tables (T.U.V, S. Madronich). On-line interpolation using model prognostic ozone profiles.
dry depositionWesely type with a detailed treatment of the stomatal resistance (Michou et al. 2002, 2004)
wet depositionConvective in-cloud following (Mari et al., 2000), below-cloud and stratiform (Giorgi and Chameides).
remarksReferences available

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)The comprehensive version of MOCAGE merges the tropospheric RACM (Stockwell et al., 1997) and stratospheric REPROBUS (Lefèvre et al., 1994) schemes for a total of 120 species / 350 reactions but several other schemes available. Semi-implicit solver.
wet phase chemistry (give details)Sulfur cycle, based on O. Boucher's work.
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 detailsORILAM/ORISAM (Tulet et al., Liousse et al.) scheme is currently tested within MOCAGE. Probably available in the next model release.

Initialization & boundary treatment

Initialization

chemistry & transportSpin-up period (some weeks to some months depending upon the species of interest) from a model monthly climatology. For dates beyong 01/07/2005, daily operational files are available for restarts.
meteorology

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

orographySame as ARPEGE/ALADIN
land useSame as ARPEGE/ALADIN
obstacles
vegetation
meteorology- ARPEGE/ALADIN operational numerical weather prediction analyses and forecasts (Météo-France). - IFS operational numerical weather prediction analyses and forecasts (ECMWF). - coupling with climate models (ARPEGE-Climat, ECHAM).
concentrationsMOCAGE provides its own chemical initial and boundary conditions
emissions- several available datasets at the global scale (EDGAR, GEIA, MOZART, RETRO,...). Several options for Europe (EMEP, GENEMIS). High-resolution emissions over some regions in France. Can be provided by the user. - for dusts, the Marticorena and Bergametti scheme is available.
remarks

Data assimilation

Chemistry & transport
nudging technique
adjoint model
3D-VAR
4D-VAR
OI
detailsMOCAGE is interfaced with the PALM software, allowing a broad range of data assimilation methods, including also Kalma filter. See for instance : Cathala et al., Tellus 2003 ; Geer et al., ACPD, 2006 ; Pradier et al., Tellus, 2005.

Boundary conditions

Chemistry & transport
surface- several available emissions datasets at the global scale (EDGAR, GEIA, MOZART, RETRO,...). Several options for Europe (EMEP, GENEMIS). High-resolution emissions over some regions in France. Other high-resolution datasets can be provided by the user over an area of interest. - for dusts, the Marticorena and Bergametti scheme is available.
topMOCAGE extends to the upper stratosphere or mesosphere (depending upon versions).
lateral inflowMOCAGE provides its own chemical boundaries (primary domain is global)
lateral outflowMOCAGE provides its own chemical boundaries (primary domain is global)

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 exchange1h (model advection timestep)
explain methodMOCAGE considers up to 4 nested subdomains. The primary domain is global, hence the model provides its own time-dependent chemical boundary conditions. The downscale part is performed within the semi-lagrangian advection step (if backtrajectories fall out of a limited-area domain, interpolations are carried out on the next larger scale domain). The upscale part is a relaxation (timescale to be adapted to horizontal resolutions) of the larger scale domain grid values to the average of the next smaller scale domain gridpoints over the matching area.
variables nestedgaz and aerosol tracers
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
remarksvertical : hybrid (sigma,P) coordinate

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
otherOperators approach

Spatial discretisation

scalar quantities
additional information
otherSemi-lagrangian (Josse et al., Tellus, 2004)
chemistry solverSemi-implicit scheme with variable time-step and number of iterative loops.

Model resolution

Chemistry & transport

HorizontalVertical
max~200 or 400800
min~840

Domain size

Chemistry & transport

HorizontalVertical
maxglobalsurface -> 0.1 hPa
min500surface -> 5 hPa

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 examples1) Transport Josse B., Simon P. and V.-H. Peuch, 2004 : Rn-222 global simulations with the multiscale CTM MOCAGE, Tellus, 56B, 339-356. Lee, H. N., G. Wan, X. Zhen, C. Sanderson, B. Josse, S. Wang, W. Yang, J. Tang and C. Wang, 2004 : Measurements of 210Pb and 7Be in China and their accompanied analyses with global model calculations, J. Geophys. Res., 109, D22203 ,doi:10.1029/2004JD005061. 2) Surface deposition of gases and aerosols Michou M. et V.-H. Peuch, 2002 : Surface exchanges in the multi-scale chemistry and transport model MOCAGE, Water Sci. Rev., 15 special issue, 173-203. Nho-Kim, E.-Y., M. Michou and V.-H. Peuch, Parameterization of size dependent particle dry deposition velocities for global modeling, Atmos. Env., vol. 38, n.13, 1933-1942 , 2004. Michou M., P. Laville, D. Serça, A. Fotiadi, P. Bouchou and V.-H. Peuch, 2004 : Measured and modeled dry deposition velocities over the ESCOMPTE area, Atmos. Res., 74 (1-4), 89-116. 3) Chemical weather and campaigns Cros, B., P. Durand, H. Cachier, Ph. Drobinski, E. Fréjafon, C. Kottmeier, P.E. Perros, V-H Peuch, J.L. Ponche, D. Robin, F. Saïd, G. Toupance and H. Wortham, 2004 : The ESCOMPTE program: An overview, Atmos. Res., 69, 241-279. Dufour, A., M. Amodei, G. Ancellet and V.-H. Peuch, 2004 : Observed and modelled 'chemical weather' during ESCOMPTE, Atmos. Res., 74 (1-4), 161-189. 4) Chemical data assimilation Cathala, M.-L., J. Pailleux and V.-H. Peuch, 2003 : Improving global simulations of UTLS ozone with assimilation of MOZAIC data, Tellus, 55B, 1-10. Massart, S., D. Cariolle and V.-H. Peuch, 2005 : Vers une meilleure représentation de la distribution et de la variabilité de l'ozone atmosphérique par l'assimilation des données satellitaires, C. R. Geosciences, doi:10.1016/j.crte.2005.08.001. Pradier, S., J.-L. Attié, M. Chong , J. Escobar, V.-H. Peuch, J.-F. Lamarque, B. Khattatov and D. Edwards, 2006 : Evaluation of 2001 springtime CO transport over West Africa using MOPITT CO measurements assimilated in a global chemistry transport model, Tellus, 58B, n°3, 163-176. 5) Intercomparisons Geer, A.J. , W.A. Lahoz, S. Bekki, N. Bormann, Q. Errera, H.J. Eskes, D. Fonteyn, D.R. Jackson, M.N. Juckes, S. Massart, V.-H. Peuch, S. Rharmili and A. Segers, 2006 : The ASSET intercomparison of ozone analyses : method and first results, Atmos.Chem.Phys.Disc., 1680-7375/acpd/2006-6-4495, 4495-4577.

Participation in specific model evaluation exercises

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