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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.

MSCE-POP: Hemispheric Multicompartment POP long-range transport model

General information

Model name and version

short nameMSCE-POP
full nameHemispheric Multicompartment POP long-range transport model
revision2.1
date14 august, 2007
last change

Responsible for this information

nameAlexey Gusev
instituteEMEP/MSC-E
address
zip
city
country
phone
fax
e-mailalexey.gusev(belongs-to)msceast.org

Additional information on the model

Contact person for model code

same as person above
nameAlexey Gusev
instituteEMEP/MSC-E
divisions
street
zip
city
country
phone
emailalexey.gusev(belongs-to)msceast.org
fax

Model developer and model user

developer and userMSCE-POP model is being developed at EMEP/MSC-E modelling Centre; is used within EMEP to provide estimates of long-range transport and depositions of selected POPs for European countries Parties to the CLRTAP Convention

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 details

Minimum computer resources required

typestandard PC
time needed for run3 hours for 1 year simulation
storage

Further information

documentation
model referencesEMEP/MSC-E Technical Note 11/2005 'Hemispheric Model (MSCE-Hem) of Persistent Toxic Substances Dispersion in the Environment' A.Gusev, E. Mantseva, V. Shatalov, O. Travnikov (available at www.msceast.org)
webpagewww.msceast.org
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
remarks

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarks

Parametrizations

Chemistry & transport

photolysis rate
dry depositionresistance analogy
wet depositionwashout ratio for POPs in particulate phase Henry's Law constant for POPs in gaseous phase
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 & transport
meteorology

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

orographyUSGS
land useUSGS
obstacles
vegetation
meteorologyNCAR/NCEP re-analysis preprocessed by the System of Diagnostic of Lower Atmosphere (SDA) developed in Russian Hydrometeorological Centre
concentrations
emissions1. national POP emission data submitted officially 2. available expert estimates of POP emission
remarks

Data assimilation

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

Boundary conditions

Chemistry & transport
surface
top
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 exchange
explain method
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
other
chemistry solver

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 examplesthe MSCE-POP model was evaluated through the comparison with measurement data and participation in POP model intercomparison study: 1. A.Gusev, S.Dutchak, I.Holoubek, E.Mantseva, O.Rozovskaya, A.Sweetman, B.Strukov, N.Vulykh (available at www.msceast.org) 2. EMEP/MSC-E Technical Report 4/2005 DRAFT 'POP Model Intercomparison Study. Stage II. Comparison of mass balance estimates and sensitivity studies' V.Shatalov, E.Mantseva, A.Baart, P.Bartlett, K.Breivik, J.Christensen, S.Dutchak, S.Gong, A.Gusev, K.M.Hansen, A.Hollander, P.Huang, K.Hungerbuhler, K.Jones, G.Petersen, M.Roemer, M.Scheringer, J.Stocker, N.Suzuki, A.Sweetman, D.van de Meent, F.Wegmann (available at www.msceast.org)

Participation in specific model evaluation exercises

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