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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.

FRSGC/UCI: FRSGC/UCI CTM

General information

Model name and version

short nameFRSGC/UCI
full nameFRSGC/UCI CTM
revision
dateOctober 2006
last change

Responsible for this information

nameOliver Wild
institute
addressCentre for Atmospheric Science, University of Cambridge
zip
city
countryUnited Kingdom
phone
fax
e-mailoliver.wild(belongs-to)atm.ch.cam.ac.uk

Additional information on the model

Contact person for model code

same as person above
nameOliver Wild
institute
divisionsCentre for Atmospheric Science, University of Cambridge
street
zip
city
countryUnited Kingdom
phone
emailoliver.wild(belongs-to)atm.ch.cam.ac.uk
fax

Model developer and model user

developer and userOliver Wild, Michael Prather, Xin Zhu, Jostein Sundet

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

typeLinux PC
time needed for run
storage

Further information

documentationSee references cited
model referencesWild, O., and M.J. Prather, Excitation of the primary tropospheric chemical mode in a global three-dimensional model, J. Geophys. Res., 105, pp 24,647-24,660, 2000. Wild, O., J.K. Sundet, M.J. Prather, I.S.A. Isaksen, H. Akimoto, E.V. Browell, and S.J. Oltmans, CTM Ozone Simulations for Spring 2001 over the Western Pacific: Comparisons with TRACE-P lidar, ozonesondes and TOMS columns, J. Geophys. Res., 108, 8826, doi:10.1029/2002JD003283, 2003. Wild, O., and M. Prather, Global tropospheric ozone modelling: Quantifying errors due to grid resolution, J. Geophys. Res., 111, D11305, doi:10.1029/2005JD006605, 2006.
webpage
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 rateFast-J (Wild et al., 2000) - fully interactive, including effects of scattering by aerosol particles and cloud droplets
dry depositionResistance scheme based on Wesely [1989]
wet depositionWet scavenging in large-scale and convective precipitation based on solubility
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)35 species (27 transported), chemistry summarized in Wild and Prather [2000]
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 & transportInitialization based on prior spin-up run.
meteorology

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

orographyECMWF
land use
obstacles
vegetation
meteorologyECMWF-IFS (Integrated Forecast System) pieced-forecast meteorology at 3-hr resolution as described in Wild et al. [2003].
concentrationsInitial conditions based on prior spin-up run.
emissionsEmissions based on EDGAR, GEIA, IIASA, Streets et al., etc. as required.
remarks

Data assimilation

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

Boundary conditions

Chemistry & transport
surface
topLinearized stratospheric chemistry using the LINOZ approach of McLinden et al., [2000]
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
remarksEta-coordinate (hybrid sigma-pressure) in vertical. Horizontal grid Gaussian or regular depending on driving meteorology

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 solverASAD chemistry package of Carver et al. [1997] using an implicit backward-Euler solver with Newton-Raphson iteration.

Model resolution

Chemistry & transport

HorizontalVertical
max300
min

Domain size

Chemistry & transport

HorizontalVertical
maxglobal80000
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 examplesWild, O., Modelling the global tropospheric ozone budget: Exploring the variability in current models, Atmos. Chem. Phys., 7, 2643-2660, 2007. Wild, O., and M. Prather, Global tropospheric ozone modelling: Quantifying errors due to grid resolution, J. Geophys. Res., 111, D11305, doi:10.1029/2005JD006605, 2006. Wild, O., M.J. Prather, H. Akimoto, J.K. Sundet, I.S.A. Isaksen, J.H. Crawford, D.D. Davis, M.A. Avery, Y. Kondo, G.W. Sachse, and S.T. Sandholm, CTM Ozone Simulations for Spring 2001 over the Western Pacific: Regional ozone production and its global impacts, J. Geophys. Res., 109, D15S02, doi:10.1029/2003JD004041, 2004. Wild, O., M.J. Prather and H. Akimoto, Indirect long-term global cooling from NOx emissions, Geophys. Res. Lett., 28, pp 1719-1722, doi:10.1029/2000GL012573, 2001.

Participation in specific model evaluation exercises

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