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Meso-NH: Meso-NH

General information

Model name and version

short nameMeso-NH
full nameMeso-NH
revisionmasdev4_9/bugfix 1
date2012
last change

Responsible for this information

nameLAC
instituteMeteo-France
address42 av Coriolis
zip31057
cityTOULOUSE
countryFRANCE
phone+33 5 61 07 80 98
fax+33 5 61 07 80 79
e-mailchristine.lac(belongs-to)meteo.fr

Additional information on the model

Contact person for model code

same as person above
nameLAC
instituteMeteo-France
divisionsCNRM
street42 av Coriolis
zip31057
cityTOULOUSE
countryFRANCE
phone+33 5 61 07 98 42
emailchristine.lac@meteo.fr
fax+33 5 61 07 96 26

Model developer and model user

developer and userModel developers : Méso-NH has been jointly developed by the Laboratoire d\'Aérologie (UMR 5560 UPS/CNRS) and by CNRM-GAME (URA 1357 CNRS/Météo-France). Model users : Météo-France research teams (CNRM, Toulouse) Laboratoire d\'Aérologie research teams (UPS, Toulouse) Institutions using Méso-NH license : -LOA (Lille) Vincent Giraud Cirrus and Solar Radiation - Apr 1996 -IPSL/CETP (Vélizy) Yvon Lemaitre TOGA COARE and FASTEX - Apr 1996 -IPSL/SA (Paris) Matthias Beekmann Chemistry and Stratosphere-Troposphere Exchange - Feb 1997 -IPSL/SA (Paris) Jacques Pelon Boundary Layer - Nov 1997 -LTHE (Grenoble) S. Anquetin Orographic precipitation - June 1998 -IPSL/LMD (Paris) Bernard Legras Stratosphere-Troposphere Exchange - Apr 1999 -CGUL (Lisbon) Rui Salgado Boundary layer processes - Aug 1999 -Instituto de Astronomia (Mexico) Silvia Torres Peimbert Astronomic Seeing - Sep 1999 -CEMAGREF (Lyon) Etienne Leblois Climatological study of intense precipitation - Sept 1999 -FIAMS (Australia) M. Tomczak Coupled air-sea interaction - Sept 1999 -IASB (Bruxelles) Hervé Gouget Stratosphere-troposphere exchange - Feb 2000 -INRA/bioclimatologie (Avignon) Dominique Courault Surface flux estimation - Dec 2000 -INRA/INA (Thiverval-Grignon) Erwan Personne Vegetation-atmosphere exchange - Aug 2001 -Centre Epson Meteo (Italy) Raffaele Salerno Hydrostatic and nonhydrostatic model comparison -Universitat de les Illes Balears (Spain) Joan Cuxart LES Boundary layer study - May 2002 -ONERA/DMPH (Châtillon) Pierre Laroche NOx sources and electric activity - Jul 2002 -LPA (La Réunion) Jean-Luc Baray Stratosphere-troposphere exchange - Nov 2002 -BTU (Cottbus) Feng Liu Chemistry and transport modelling - Nov 2002 -DES (Peking) Yu Song Mesoscale modeling - Dec 2002 -ELICO (Wimereux) Véronique Soufflet Willart Mesoscale chlorophyl transport - Jan 2003 -CPOM (London) A. Orr Modelling of rotating stratified flow over rough orography - Feb 2003 -CMO (Brest) L. Kerleguer Ocean-atmosphere coupling at small scale in coastal area - Apr 2003 -LERFA (Cherbourg) P. Germain Dispersion and deposition of aerosol over complex orography - June 2003 -LPAT (Pointe à Pitre) C. Asselin de Beauville Meso-NH use in a tropical environment - Jan 2004 -DLR (Oberpfaffenhofen) T. Fehr Chemical production and transport within convective systems - May 2004 -GIESD (Guiyang) X. Liu Mercury pollution forecast - June 2004 -LSEET (Toulon) V. Guénard Coastal meteorology - June 2004 -INRA-EPHYSE (Bordeaux) Y. Brunet Pollen dispersion - Oct. 2004 -DITS (Roma) A. Cenedese Limited area model comparison - Feb. 2005 -LaMP (Clermont-Ferrand) V. Giraud High-resolution cirrus modelling - Apr. 2005 -HIRLAM (Norrköping) P. Undén Mesoscale modelling - May 2005 -CERFACS (Toulouse) D. Cariolle Climate impact of transport systems - Oct 2005 -IPSL/LSCE (Gif-sur-Yvette) L. Turpin Carbone surface fluxes - Feb 2006

Level of Knowledge needed to operate model

basic
intermediate
advanced
remarks

Model use at your institution

operational
for research
other usein case of emergency, for accidental pollutants release, Méso-NH is coupled to SPRAY (particular dispersion model developped by ARIA Technologies); the system is called PERLE, it\'s operationnally used in case of emergency.

Model code available?

is available?yes
more detailsThe use of the Meso-NH model by groups other than the developers is subject to a licence agreement (see on http://mesonh.aero.obs-mip.fr/mesonh/)

Minimum computer resources required

typePC (recommended for 1D simulations ) ou supercomputer (necessary for 3D simulation with chemistry)
time needed for rundepends on resolutions
storageall

Further information

documentationAvailable on the web site (scientific and technic)
model referencesLafore, J. P., J. Stein, N. Asencio, P. Bougeault, V. Ducrocq, J. Duron, C. Fischer, P. Hereil, P. Mascart, J. P. Pinty, J. L. Redelsperger, E. Richard, and J. Vila-Guerau de Arellano, 1998: The Meso-NH Atmospheric Simulation System. Part I: Adiabatic formulation and control simulations. Annales Geophysicae, 16, 90-109. Mari, C., J.-P. Chaboureau, J.-P. Pinty, J. Duron, P. Mascart, J.-P. Cammas, F. Gheusi, T. Fehr, H. Schlager, A. Roiger, H. Lichtenstein, and P. Stock, Regional lightning NOx sources during the TROCCINOX experiment, Atmos. Chem. Phys., in revision, 2006. Sarrat, C., A. Lemonsu, V. Masson, and G. D., Impact of urban heat island on regional atmospheric pollution, Atmos. Environ., 40(10), 1743-1758, 2006.
webpagehttp://mesonh.aero.obs-mip.fr/mesonh/
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 gasesall ReLACS scheme species (Crassier et al, 2000) or all ReLACS2 scheme species (Tulet et al., 2006)
1st radioactivity
2nd radioactivity
3rd radioactivity
Cd
Pb
other heavymetals
pesticides
1st radioactivity
2nd radioactivity
3rd radioactivity
remarks

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarksThe model is based upon the Lipps and Hemler anelastic system.

Parametrizations

Meteorology

turbulence scheme1.5 order closure scheme with different mixing lengths Cuxart, J., Bougeault, Ph. and Redelsperger, J.L., 2000: A turbulence scheme allowing for mesoscale and large-eddy simulations. Q. J. R. Meteorol. Soc., 126, 1-30.
deep convectionKain-Fritsch-Bechtold scheme Bechtold, P., E. Bazile, F. Guichard, P. Mascart and E. Richard, 2001: A Mass flux convection scheme for regional and global models. Quart. J. Roy. Meteor. Soc., 127, 869-886.
surface exchangeExternalized surface model - For vegetation, ISBA scheme : Noilhan, J. and S. Planton, 1989: A simple parameterization of land surface processes for meteorological models. Mon. Weather Rev., 117, 536-549. - For urban area, TEB scheme : Masson V. 2000, A physically based scheme for the urban energy budget in atmospheric models, Bound. Layer Meteor., 94, 357-397. - For ocean : Charnock formulation - No lake scheme
surface temperatureComputed by surface model, according to atmospheric and radiative fields
surface humidityComputed by surface model, according to atmospheric and radiative fields
radiationECMWF radiation scheme for LW (RRTM) and SW. Morcrette, J.-J., 1991: Radiation and cloud radiative properties in the European center for medium range weather forecasts forecasting system. J. Geophys. Res., 96, 9121-9132.
unresolved orographic dragNo
radiation in vegetationTaken into account in ISBA
radiation between obstaclesTaken into account in TEB
treatment of obstaclesAccount for Orography No account for Obstacles of terrain (buildings ...)
clouds / rainDifferent microphysical schemes with 1 or 2 moments The most used is a mixed 1-moment scheme with 5 or 6 prognostic species Pinty, J.-P. and P. Jabouille, 1998: A mixed-phase cloud parameterization for use in mesoscale non-hydrostatic model: simulations of a squall line and of orographic precipitations. Proc. Conf. of Cloud Physics, Everett, WA, USA, Amer. Meteor. soc., Aug. 1999, 217 - 220.
remarks

Chemistry & transport

photolysis rateTUV (S.Madronich)
dry depositionFor dry deposition based on Wesely formulation: Tulet P., V. Crassier, F. Solmon, D. Guedalia, R. Rosset, 2003: Description of the MESOscale NonHydrostatic Chemistry model and application to a transboundary pollution episode between northern France and southern England, J. Geophys. Res. 108, D1, 4021.
wet depositionFor scavenging by convective precipitations: Mari C., D.J. Jacob, P. Bechtold, 2000: Transport and scavenging of soluble gases in a deep convective cloud, J. Geophys. Res. 105, 22255-22263. For scavenging by resolved clouds : Aerosols wet deposition : see 12 - Tulet, P., K.C. Kaku-Crahan, M. Leriche, B. Aouizerats, and S. Crumeyrolle: Mixing of dust aerosols into a mesoscale convective system. Generation, filtering and possible feedbacks on ice anvils, Atmos. Res., 96, 302-314, 2010. Gas phase species wet scavenging : Leriche, M., Pinty, J.-P., C. Mari, D. Gazen: A new cloud chemistry module for the mesoscale meteorological Meso-NH model, in preparation for ACP, 2012.
remarksA part of the physics of Meso-NH is included in AROME, the operational meso-scale model of Meteo-France (2.5km resolution for 2008) All references available on http://mesonh.aero.obs-mip.fr/mesonh/

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)At each time step of the model (about 4s), each chemical specie is calculated. The chemical scheme can be RACM (67 species, 237 reactions : Stockwell et al., 1997), or ReLACS scheme (37 species, 188 reactions : Crassier et al, 2000) for more numerical efficiency. For the aerosol chemistry, the chemical scheme can be Relacs2 scheme (reduced scheme from CACM scheme : Tulet et al., 2006).
wet phase chemistry (give details)Aqueous phase reactivity and kinetic mass transfer of soluble species between gas phase and aqueous phase are available with the ReLACS gas phase mechanism (Leriche, M., Pinty, J.-P., C. Mari, D. Gazen: A new cloud chemistry module for the mesoscale meteorological Meso-NH model, in preparation for ACP, 2012). This cloud chemistry module includes the microphysical transfer terms of soluble species between the different category of hydrometeors for all cloud microphysics scheme available in MesoNH. The retention of soluble species in ice-phase precipitating hydrometeors is also included.
more informationTo use SOA formation, users need to use CACM (189 species) or ReLACS2 (82 species) chemical scheme. Tulet, P., V. Crassier, F. Cousin, K. Suhre, and R. Rosset, ORILAM, a three-moment lognormal aerosol scheme for mesoscale atmospheric model: Online coupling into the Meso-NH-C model and validation on the Escompte campaign, J. Geophys. Res., 110, D18201, doi:10.1029/2004JD005716, 2005. Grini, A., P. Tulet, and L. Gomes, Dusty weather forecasts using the MesoNH mesoscale atmospheric model, J. Geophys. Res., 111, D19205, doi:10.1029/2005JD007007, 2006.

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 detailsDesertic Dust and Sea Salt are conseder as passive aerosols (3 lognormal modes each) Inorganic and Organic aerosols has been coupled with gas-phase using thermodynamic balance (ARES, ISORROPIA for inorganic; MPMPO and AER modules for SOA). The aerosol model named ORILAM allows 2 interactives log-normal modes (coagulation, sulphates nucleation, condensation/adsorption). References: Tulet et al., 2005, jgr (for inorganic and aerosol model description) Tulet et al, 2006, jgr for description of organic aerosols.

Initialization & boundary treatment

Initialization

chemistry & transportMOCAGE or MOZART
meteorologyECMWF, ARPEGE, ALADIN for real cases Possibility of ideal cases.

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

orographygtopo30 (1km global resolution)
land useECOCLIMAP (http://www.cnrm.meteo.fr/gmme/PROJETS/ECOCLIMAP/frame_titre_ecoclimap.html)
obstaclesnone
vegetationECOCLIMAP (http://www.cnrm.meteo.fr/gmme/PROJETS/ECOCLIMAP/frame_titre_ecoclimap.html)
meteorologyECMWF, ARPEGE, ALADIN
concentrationsMOCAGE or MOZART
emissionsGENEMIS or other inventory sources (ex:ESCOMPTE or MACC inventory)
remarks

Data assimilation

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

Boundary conditions

MeteorologyChemistry & transport
surfaceGiven by the externalized surface modelIdem
topRigid Idem
lateral inflowFor the coarser model, open boundary conditions with radiative properties from the LS coupling model. For the inner models, interpolation from the coarser grid.Idem
lateral outflowRadiative open boundary conditionsIdem

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 exchangeThe only constraint is that the ratio must be an integer. The exchange between both models occurs at the time step of the father model.Idem
explain methodClark and Farley nesting technics Stein J., E. Richard, J.P. Lafore, J.P. Pinty, N. Asencio and S. Cosma, 2000: High -resolution non-hydrostatic simulations of flash-flood episodes with grid-nesting and ice-phase parametrization. Meteorol. Atmos. Phys., 72, 101-110
variables nestedall prognostic variables and precipitation and radiative 2D fields for the surface.
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 the vertical, Gal-Chen-Somerville coordinate. For the horizontal, different conformal projections (Polar stereographic, Lambert, Mercator)

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 equations2nd order or 4th centred advection scheme
scalar quantities2nd order or 4th positive definite advection scheme (PPM)
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
other

Spatial discretisation

scalar quantities2nd order (MPDATA) or 4th positive definite advection scheme (PPM)
additional information
other
chemistry solverDifferent solvers can be used : EXQSSA solver, QSSA, SIS, LinSSA, Cranck-Nickolson, Rosenbrock family for example.

Model resolution

Meteorology

HorizontalVertical
maxto several hundred kilometersall
minfrom 1m all

Chemistry & transport

HorizontalVertical
maxallall
minallall

Domain size

Meteorology

HorizontalVertical
maxallall
minallall

Chemistry & transport

HorizontalVertical
maxallall
minallall

Model Validation and Application

Validation & evaluation

Used validation & evaluation methods

analytic solutions
evaluated reference dataset
model intercomparison
additional validation & evaluation efforts

Analytic solutions

Meteorology

u
v
w
T
qv
qlc
qsc
qlr
zi
other
testcase description
testcase references
used data set
reference for evaluation
remarks

Chemistry & transport

SO2
NO
NO2
NOX
NH3
HNO3
O3
VOC
C6H6
HCHO
CO
CO2
POP
other
testcase description
testcase references
used data set
reference for evaluation
remarksall references of studies on \'publications\' : http://mesonh.aero.obs-mip.fr/mesonh/

Evaluated reference dataset

Meteorology

u
v
w
T
qv
qlc
qsc
qlr
zi
other
testcase description
testcase references
used data set
reference for evaluation
remarks

Chemistry & transport

SO2
NO
NO2
NOX
NH3
HNO3
O3
VOC
C6H6
HCHO
CO
CO2
POP
otheraerosols
testcase description
testcase references
used data set
reference for evaluation
remarksall references of studies on \'publications\' : http://mesonh.aero.obs-mip.fr/mesonh/
remarks

Application examples

application examplesShort distance dispersion modelling : F. Bonnardot, C. Lac, C. Camail, O. Connan, D. Maro, D. Hébert, M. Rozet : PERLE : an operational Meso-scale dispersion modelling system for accidental release. HARMO Conference, Sissi (Malia), Crete, Greece, 17-20 oct 2005. Hydrology : Ex: Chancibault, K., S. Anquetin, V. Ducrocq, and G.-M. Saulnier, Hydrological evaluation of high resolution precipitation forecasts of the Gard flash-flood event (8-9 september 2002), Quart. J. Roy. Meteor. Soc., 132, 1091-1117, 2006. Electricity : Ex: # Barthe, C., J.-P. Pinty, and C. Mari, Lightning-produced NOx in an explicit scheme: a STERAO case study, J. Geophys. Res., in press, 2006. # Barthe, C., and J.-P. Pinty, Simulation of a supercellular storm using a three-dimensional mesoscale model with an explicit lightning flash scheme, J. Geophys. Res., in press, 2006.

Participation in specific model evaluation exercises

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