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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.

EMEP : EMEP model

General information

Model name and version

short nameEMEP
full nameEMEP model
revisionrv4.0
dateDecember 2012
last changeNovember 2012

Responsible for this information

nameJan Eiof Jonson
institutemet.no
addressmet.no
zip0313
cityOslo
countryNorway
phone+47 22 96 33 24
fax
e-mailj.e.jonson(belongs-to)met.no

Additional information on the model

Contact person for model code

same as person above
nameDavid Simpson
institutemet.no
divisions
street
zip
city
country
phone
emaildavid.simpson@met.no
fax

Model developer and model user

developer and user

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 detailshttp://www.emep.int/OpenSource/index.html

Minimum computer resources required

typeDependant on model version/domain see add. info under D.
time needed for runDependant on model version/domain see add. info under D.
storageDependant on model version/domain see add. info under D.

Further information

documentation
model referencesSimpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., and Wind, P.: The EMEP MSC-W chemical transport model – technical description, Atmos. Chem. Phys., 12, 7825-7865, doi:10.5194/acp-12-7825-2012, 2012.
webpagewww.emep.int
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 gasesEMEP scheme components
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 can be run in local/regional/hemispheric/global modes with optional resolution.

Parametrizations

Chemistry & transport

photolysis rateTabulated rates, function of latitude and solar zenith angle. Weighted acording to and cloud fraction/clasification
dry depositionResistance based. See EMEP pblications Link from: http://www.emep.int/OpenSource/index.html and Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., and Wind, P.: The EMEP MSC-W chemical transport model – technical description, Atmos. Chem. Phys., 12, 7825-7865, doi:10.5194/acp-12-7825-2012, 2012.
wet depositionIn cloud and sub cloud scavenging based in species dependant scavenging rates and precipitation rates. See EMEP publications Link from: http://www.emep.int/OpenSource/index.html Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., and Wind, P.: The EMEP MSC-W chemical transport model – technical description, Atmos. Chem. Phys., 12, 7825-7865, doi:10.5194/acp-12-7825-2012, 2012.
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)In principle this is flexible so that any chemical scheme can be used. Standard model runs performed with EMEP scheme, see Link from: http://www.emep.int/OpenSource/index.html See also: Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., and Wind, P.: The EMEP MSC-W chemical transport model – technical description, Atmos. Chem. Phys., 12, 7825-7865, doi:10.5194/acp-12-7825-2012, 2012.
wet phase chemistry (give details)Aquous phase oxidation of SO2 assuming equilibrium conditions. See reference below and references within. Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., and Wind, P.: The EMEP MSC-W chemical transport model – technical description, Atmos. Chem. Phys., 12, 7825-7865, doi:10.5194/acp-12-7825-2012, 2012.
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 detailsThis model version considers bulk aerosol for the inorganic components

Initialization & boundary treatment

Initialization

chemistry & transportDefault Logan climatology for ozone. Based on combination of measurements and global model results for other species. Other initializations and boundary concentrations may also be used. Can also be started with spinnup results (HTAP started with spin-up files based on 6 -12 months model run)
meteorology

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

orographyDependant on model domain/meteorological input
land useEMEP for EMEP domain, else based on MM5
obstacles
vegetation
meteorologyOptional
concentrations
emissionsOptional. Usually EMEP emissions in EMEP model domain. Isoprene emissions calculated as described in: D. Simpson, A. Guenther, C.N. Hewitt, and R.Steinbrecher. Biogenic emissions in Europe 1. Estimates and uncertainties. J. Geophys. Res., 100(D11):22875–22890, 1995. Outside EMEP domain combination of sources.
remarks

Data assimilation

Chemistry & transport
nudging technique
adjoint model
3D-VAR
4D-VAR
OI
detailsNot used

Boundary conditions

Chemistry & transport
surface
top100hpa. Fixed concentrations in uppermost layer. Logan climatology for ozone. Based on combination of measurements and global model results for other species
lateral inflowNot applicable for global version, else: Logan climatology for ozone. Based on combination of measurements and global model results for other species when running on smaller domains.
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 exchangeVariable
explain method
variables nestedVariable, depending on application
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
remarksHorizontal projection/coordinate system optional.

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 quantitiesOptional, depending on application and input meteorology. For HTAP SR1x 1x1 degrees. For HTAP source receptor 100km polar stereographic. Regional model calculations usually 50km polar stereographic (EMEP model domain).
additional information
other
chemistry solverTWOSTEP as described in: J.G. Verwer and D. Simpson. Explicit methods for stiff ODEs from atmospheric chemistry. Applied Numerical Mathematics, 18:413–430, 1995.

Model resolution

Chemistry & transport

HorizontalVertical
max1 x 1 degrees20 layers from surface to 100hpa
minabout 1 km 20 layers from surface to 100hpa

Domain size

Chemistry & transport

HorizontalVertical
maxlocal to global20 layers from surface to 100hpa
minlocal to global20 layers from surface to 100hpa

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 see: http://www.emep.int for recent reports with examples and further references

Participation in specific model evaluation exercises

AQMEII
List experiments (AQMEII)
Cost728
List experiments (COST728)
HTAP
List experiments (HTAP)TP1x, SR1 - SR6
MEGAPOLI
List experiments (MEGAPOLI)