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ENVIRO-HIRLAM: On-line integrated atmospheric pollution and weather prediction model ENVIRO-HIRLAM

General information

Model name and version

short nameENVIRO-HIRLAM
full nameOn-line integrated atmospheric pollution and weather prediction model ENVIRO-HIRLAM
revision
date12.09.2005
last change

Responsible for this information

nameA. Baklanov
instituteDanish Meteorological Institute
addressLyngbyvej 100, DK-2100 Copenhagen, Denmark
zipDK
city2100
countryDenmark
phone+45 39157441
fax+45 39157460
e-mailalb(belongs-to)dmi.dk

Additional information on the model

Contact person for model code

same as person above
nameU. S. Korsholm
instituteDanish Meteorological Institute
divisions
streetLyngbyvej 100
zipDK - 2100
cityCopenhagen
countryDenmark
phone+45 39157439
emailusn@dmi.dk
fax+45 39157460

Model developer and model user

developer and userDanish Meteorological Institute and HIRLAM community

Level of Knowledge needed to operate model

basic
intermediate
advanced
remarks

Model use at your institution

operational
for research
other useIt is based on operational version of DMI-HIRLAM NWP model

Model code available?

is available?no
more detailsquestion of negotiations with the HIRLAM consortium and DMI

Minimum computer resources required

type
time needed for run
storage

Further information

documentation
model references1. Chenevez, J., A. Baklanov and J. H. Sørensen, Pollutant Transport Schemes Integrated in a Numerical Weather Prediction Model: Model Description and Verification Results. Meteorological Applications 11 (2004), 265-275. 2. Baklanov, A., A. Gross and J.H. Sørensen, Modeling and Forecasting of Regional and Urban Air Quality and Microclimate, J. Computational Technologies. 9-2 (2004), 82-97. 3. Baklanov, A., 2005: Meteorological advances and systems for urban air quality forecasting and assessments. Short Papers of the 5th International Conference on Urban Air Quality Valencia, Spain, 29-31 March 2005, CLEAR, pp. 22-25.
webpage
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 gases
1st radioactivity
2nd radioactivity
3rd radioactivity
Cd
Pb
other heavymetals
pesticides
1st radioactivity
2nd radioactivity
3rd radioactivity
remarksChemistry not yet implemented. Aerosol is presently mono-disperse.

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarks

Parametrizations

Meteorology

turbulence schemeHIRLAM TKE-l scheme. Modification of the CBR (Cuxart et. al, 2000, Quart. J. Roy. Met. Soc., 126, 1-30) scheme.
deep convectionSTRACO (Soft TRAnsition COndensation) scheme.
surface exchangeISBA (Interactions Soil-Biosphere-Atmosphere) surface analysis.
surface temperatureISBA surface analysis.
surface humidityISBA surface analysis.
radiationHIRLAM radiation scheme, modified from Savijarvi (1990, j. Appl. Metor. 29, 437-447)
unresolved orographic drag
radiation in vegetation
radiation between obstacles
treatment of obstacles
clouds / rainSTRACO (convective), Rasch-Kristjansson (stratiform), Kain-Fritsch (meso scale convective)
remarks

Chemistry & transport

photolysis rate
dry depositionResistance formulation (Physics and Chemistry of the Earth:(B), Vol. 26, No. 10, pp. 787-799.) Gravitational settling, laminar: Stokes law + Cunningham correction for non-continuum effects. Gravitational settling, turbulent (1991, Aer. Sci. Tech., 14, 247-256 ).
wet depositionWashout (Physics and Chemistry of the Earth:(B), Vol. 26, No. 10, pp. 787-799.)
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
meteorologyVariant of digital filtering

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

orographyHIRLAM HDF database (GTOPO30)
land useHIRLAM HDF database (GLCC, Corine)
obstacles
vegetation
meteorologyECMWF
concentrations
emissions
remarks

Data assimilation

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

Boundary conditions

MeteorologyChemistry & transport
surfaceSurface analysisDeposition
topClimate files
lateral inflowu,v,t,q,psNo inflow.
lateral outflowu,v,t,q,psFields relaxed on boundaries, i.e no outflow.

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 exchange
explain methodC & T model online coupled in limited area forecast model, i.e possibility of data exchange every time step of met. model.
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

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 equations
scalar quantities
additional information
othersemi-lagrangian

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
otherBott advection scheme
chemistry solver

Model resolution

Meteorology

HorizontalVertical
max1.4100
min4530

Chemistry & transport

HorizontalVertical
max
min

Domain size

Meteorology

HorizontalVertical
maxHemispheric10000
min50010000

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 examples

Participation in specific model evaluation exercises

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