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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.

WRF/Chem: Weather Research and Forecasting Chemistry model

General information

Model name and version

short nameWRF/Chem
full nameWeather Research and Forecasting Chemistry model
revisionV2.2
date1-Feb-2007
last change

Responsible for this information

nameGeorg Grell
instituteUniversity Of Coloado, CIRES, NOAA/ESRL
address33881 Skyline Dr
zip80403
cityGolden, Colorado
countryUSA
phone001-303-4976924
fax001-303-4974176
e-mailgeorg.a.grell(belongs-to)noaa.gov

Additional information on the model

Contact person for model code

same as person above
nameGeorg Grell
instituteUniversity Of Coloado, CIRES, NOAA/ESRL
divisions33881 Skyline Dr
street
zip80403
cityGolden, Colorado
countryUSA
phone001-303-4976924
emailgeorg.a.grell(belongs-to)noaa.gov
fax001-303-4974176

Model developer and model user

developer and userCommunity model Development (http://www.wrf-model.org/WG11), with significant number of developers and users. Currently about 250 users.

Level of Knowledge needed to operate model

basic
intermediate
advanced
remarksOnline Chemistry.

Model use at your institution

operational
for research
other use

Model code available?

is available?yes
more detailsfor model code, contact georg grell

Minimum computer resources required

type
time needed for run
storage

Further information

documentation
model references
webpagehttp://www.wrf-model.org/WG11
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 iDependent on dynamic core and choice of physics
other variables iican be run dry or with second moment microphysics
other variables iiiMay also produce probabilistic non-resolved convective parameterization output

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 gasesThs number of prognostic variables again depends on the choice of chemical mechanism
1st radioactivity
2nd radioactivity
3rd radioactivity
Cd
Pb
other heavymetals
pesticides
1st radioactivity
2nd radioactivity
3rd radioactivity
remarksnumber of prognostic/diagnostic variables highly variable. Maybe hundreds of variables if run with sectional aerosols, aqueous phase chemistry and microphysics interaction

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarksfully compressible equations

Parametrizations

Meteorology

turbulence schemelevel 2.5 MYJ, or non local YSU scheme
deep convectionGrell and Devenyi, Betts-Miller, Kain Fritsch, Simplified Arakawa-Schubert, Relaxed Arakawa-Schubert
surface exchangeNoah Land Surface model, or RUC Land Surface Model, or simple schemes
surface temperature
surface humidity
radiationGFDL, Goddard, Dudhia, or CAM radiation schemes. Goddard scheme is coupled to aerosols
unresolved orographic drag
radiation in vegetation
radiation between obstacles
treatment of obstacles
clouds / rainMany microphysics Choices
remarks

Chemistry & transport

photolysis rateMadronich, or Fast-j
dry depositionWesely
wet deposition
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)RADM2, CBM-Z, or KPP generated versions of RADM, RACM, and RACM-MIM
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 detailsDepends on user choice

Initialization & boundary treatment

Initialization

chemistry & transport
meteorology

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

orography
land use
obstacles
vegetation
meteorology
concentrations
emissions
remarks

Data assimilation

MeteorologyChemistry & transport
nudging technique
adjoint model
3D-VAR
4D-VAR
OI
details4d-VAR under developmentunder development

Boundary conditions

MeteorologyChemistry & transport
surfaceSST'semissions
topmass coordinate
lateral inflowAnalysis data from operational centers, or 1-way nesting, also forecasts from operational centersFixed from sounding, input from 1-way nest, or BC's from global models
lateral outflowinflow/outflow condition check on all BC's

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 methodfor 1-way nesting, time step is by choice, for 2-way nesting timestep depends on nesting ratio
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
remarksDepends on choice of dynamical core. WRF allows for different choices...

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 informationFor details check references
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
otherif user chooses, timestep may be larger than meteorology

Spatial discretisation

scalar quantities
additional information
other
chemistry solver

Model resolution

Meteorology

HorizontalVertical
max
min

Chemistry & transport

HorizontalVertical
max
min

Domain size

Meteorology

HorizontalVertical
max
min

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)