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MSCE-HM-Hem: Hemispheric model of heavy metal atmospheric transport

General information

Model name and version

short nameMSCE-HM-Hem
full nameHemispheric model of heavy metal atmospheric transport
revisionv 4.5
date
last change

Responsible for this information

nameOleg Travnikov
institute
address
zip
city
country
phone
fax
e-mailoleg.travnikov(belongs-to)msceast.org

Additional information on the model

Contact person for model code

same as person above
nameOleg Travnikov
institute
divisions
street
zip
city
country
phone
emailoleg.travnikov(belongs-to)msceast.org
fax

Model developer and model user

developer and userThe model was developed in Meteorological Synthesizing Centre East of EMEP (EMEP/MSC-E) and is used for operational calculations of heavy metal pollution within the EMEP programme

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

type
time needed for run
storage

Further information

documentationTravnikov O, Ryaboshapko A. Modelling of mercury hemispheric transport and depositions. EMEP/MSC-E technical report 6/2002. Moscow, Russia: Meteorological Synthesizing Centre - East; 2002 [www.msceast.org/publications.html] Travnikov O., Ilyin I. Regional model MSCE-HM of heavy metal transboundary air pollution in Europe. EMEP/MSC-E technical report 6/2005. Moscow, Russia: Meteorological Synthesizing Centre - East; 2005 [www.msceast.org/publications.html]
model referencesTravnikov O. [2005] Contribution of the intercontinental atmospheric transport to mercury pollution in the Northern Hemisphere. Atmospheric Environment 39, 7541–7548 Ryaboshapko A., Bullock R., Christensen J., Cohen M., Dastoor A., Ilyin I., Petersen G., Syrakov S., Travnikov O., Artz R., Davignon D., Draxler R., Munthe J., Pacyna J. [2007] Intercomparison study of atmospheric mercury models: 2. Modelling results vs. long-term observations and comparison of country deposition budgets. Science of the Total Environment 377, 319-333
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 gasesheavy metals (Hg, Pb, Cd)
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 scheme. Deposition of particles to vegetation is based on formulation by Slinn (1982) and fitted to experimental data (Ruijgrok et al., 1997; Wesely et al., 1985). Williams' [1982] parameterization of deposition to water.
wet depositionIn-cloud and sub-cloud wet scavenging of particulate species and highly soluble gases is based on empirical data.
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)Mercury oxidation by ozone, hydroxyl radical and chlorine
wet phase chemistry (give details)Mercury oxidation by ozone, chlorine and hydroxyl radical, reduction via decomposition of sulphite complexes, formation of chloride complexes, and adsorption by soot particles in cloud water
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
meteorologyNCEP/NCAR reanalysis pre-processed by the System of Diagnosis of the Lower Atmosphere (SDA)
concentrations
emissions
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 examplesTravnikov O. [2005] Contribution of the intercontinental atmospheric transport to mercury pollution in the Northern Hemisphere. Atmospheric Environment 39, 7541–7548 Ryaboshapko A., Bullock R., Christensen J., Cohen M., Dastoor A., Ilyin I., Petersen G., Syrakov S., Travnikov O., Artz R., Davignon D., Draxler R., Munthe J., Pacyna J. [2007] Intercomparison study of atmospheric mercury models: 2. Modelling results vs. long-term observations and comparison of country deposition budgets. Science of the Total Environment 377, 319-333 AMAP, 2005. AMAP Assessment 2002: Heavy Metals in the Arctic. Arctic Monitoring and Assessment Programme (AMAP), Oslo, Norway (www.amap.no)

Participation in specific model evaluation exercises

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