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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.

UKCA: UKCA-tomcat

General information

Model name and version

short nameUKCA
full nameUKCA-tomcat
revisionv11_e12
dateApril 2007
last change

Responsible for this information

nameGraham Mann
instituteUniversity of Leeds
addressEnvironment building, School of Earth & Environment, University of Leeds, Leeds, LS2 9JT, United Kingdom
zipLS2 9JT
cityLeeds
countryUnited Kingdom
phone+44 113 343 6744
fax+44 113 343 6716
e-mailgmann(belongs-to)env.leeds.ac.uk

Additional information on the model

Contact person for model code

same as person above
nameGraham Mann
instituteUniversity of Leeds
divisionsEnvironment building, School of Earth & Environment, University of Leeds, Leeds, LS2 9JT, United Kingdom
street
zipLS2 9JT
cityLeeds
countryUnited Kingdom
phone+44 113 343 6744
emailgmann(belongs-to)env.leeds.ac.uk
fax+44 113 343 6716

Model developer and model user

developer and userGraham Mann, Dominick Spracklen, Ken Carslaw, Paul Manktelow, Kirsty Pringle, Matt Woodhouse, Dave Ridley, Tom Breider

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 machine (typically run on 16 processors on supercomputer)
time needed for run1 day for 6 months (on 16 processors)
storage

Further information

documentation
model references1) Manktelow, P.T., Mann, G. W. ; Carslaw, K.S. (in review, Geophys. Rev. Lett., 2007), Regional and global trends in sulfate aerosol since the 1980s. 2) Spracklen, D.V.; Pringle, K.J.; Carslaw, K.S.; Chipperfield, M.P.; Mann, G.W. (2005) A global off-line model of size-resolved aerosol microphysics: I. Model development and prediction of aerosol properties, Atmospheric Chemistry and Physics, 5, pp.2227-2252. 3) Spracklen, D.V.; Pringle, K.J.; Carslaw, K.S.; Chipperfield, M.P.; Mann, G.W. (2005) A global off-line model of size-resolved aerosol microphysics: II. Identification of key uncertainties, Atmospheric Chemistry and Physics, 5, pp.3233-3250.
webpagehttp://www.ukca.ac.uk
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 gasesH2SO4, DMS, DMSO, MSA, COS, CS2
1st radioactivity
2nd radioactivity
3rd radioactivity
Cd
Pb
other heavymetals
pesticides
1st radioactivity
2nd radioactivity
3rd radioactivity
remarksBackground oxidant (O3, OH, NO3, H2O2, HO2) concentrations interpolated temporally between 6-hourly global fields from 'full chemistry' TOMCAT run.

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarks

Parametrizations

Chemistry & transport

photolysis rate
dry depositionUse scheme of Slinn & Slinn (1981) and Zhang (2001) for aerosol dry deposition. Dry deposition velocities from Pham et al (1995) for gas phase dry deposition.
wet depositionWet deposition of gases included. Nucleation scavenging of particles using scavenging coefficients for each mode. Impaction scavenging of particles using aerosol-raindrop collision efficiencies for each mode.
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)DMS+OH->SO2 (Atkinson et al, 1989) DMS+OH->0.6SO2+0.4DMSO (Pham et al, 1995) DMSO+OH->0.6SO2+0.4MSA (Pham et al, 1995) DMS+NO3->SO2 (Atkinson et al, 1989) CS2+OH->SO2+COS (Pham et al, 1995) COS+OH->SO2 (Pham et al, 1995) SO2+OH+M->H2SO4 (Pham et al, 1995)
wet phase chemistry (give details)S(IV) oxidised in cloud to S(VI) by H2O2 and O3
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)

orography
land use
obstacles
vegetation
meteorologyECMWF ERA-40 meteorological analyses
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
remarkshybrid sigma-pressure co-ordinate in vertical

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 solverIMPACT within the ASAD sub-model (Carver et al, 1997)

Model resolution

Chemistry & transport

HorizontalVertical
max
min~300km (2.8 degrees x 2.8 degree lat/lon)stretched (around 100m at surface)

Domain size

Chemistry & transport

HorizontalVertical
max
minglobalabout 100,000 (1 hPa)

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 examples1) Manktelow, P.T., Mann, G. W. ; Carslaw, K.S. (in review, Geophys. Rev. Lett., 2007), Regional and global trends in sulfate aerosol since the 1980s. 2) Spracklen, D.V.; Pringle, K.J.; Carslaw, K.S.; Chipperfield, M.P.; Mann, G.W. (2005) A global off-line model of size-resolved aerosol microphysics: I. Model development and prediction of aerosol properties, Atmospheric Chemistry and Physics, 5, pp.2227-2252. 3) Spracklen, D.V.; Pringle, K.J.; Carslaw, K.S.; Chipperfield, M.P.; Mann, G.W. (2005) A global off-line model of size-resolved aerosol microphysics: II. Identification of key uncertainties, Atmospheric Chemistry and Physics, 5, pp.3233-3250. 4) Spracklen, D.V.; Carslaw, K.S. ; Kulmala M.; Kerminen, V.M.; Mann, G.W.; Sihto, S.L. (2006) The contribution of boundary layer nucleation events to total particle concentrations on regional and global scales, Atmospheric Chemistry and Physics, 6, pp.5631-5648. 5) Spracklen, D.V.; Pringle, K.J.; Carslaw, K.S.; Mann, G.W.; Manktelow, P.T.; Heintzenberg, J. (in press, Atmospheric Chemistry and Physics, 2007)

Participation in specific model evaluation exercises

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