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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.

GOCART: Goddard Chemistry Aerosol Radiation and Transport model

General information

Model name and version

short nameGOCART
full nameGoddard Chemistry Aerosol Radiation and Transport model
revision
date1/31/2007
last change

Responsible for this information

nameMian
institute
addressNASA GSFC, Code 613.3, Greenbelt, Maryland, USA
zip20771
city0000
countryU.S.A.
phone1-301-614-6007
fax1-301-614-5903
e-mailmian.chin(belongs-to)nasa.gov

Additional information on the model

Contact person for model code

same as person above
nameThomas Diehl
instituteNASA GSFC
divisionsCode 613.3
street
zip20771
cityGreenbelt, Maryland
countryU.S.A.
phone1-301-614-5739
emailthomas.diehl@gsfc.nasa.gov
fax1-301-614-5903

Model developer and model user

developer and userMian Chin, Thomas Diehl, Huisheng Bian, Paul Ginoux

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?yes
more details

Minimum computer resources required

typeLinux cluster, SGI
time needed for run
storage

Further information

documentation
model referencesChin, M., R. B. Rood, S.-J. Lin, J.-F. Müller, and A. M. Thomspon, 2000: Atmospheric sulfur cycle in the oglobal mdel GOCART: Model description and global properties, J. Geophys. Res., 105, 24,661-24,687. Ginoux, P., M. Chin, I. Tegen, J. Prospero, B. Holben, O. Dubovik, and S.-J. Lin, 2001: Sources and global distributions of dust aerosols simulated with the GOCART model, J. Geophys. Res. 106, 20,255-20,273. Chin, M., P. Ginoux, S. Kinne, O. Torres, B. N. Holben, B. N. Duncan, R. V. Martin, J. A. Logan, A. higurashi, and T. Nakajima, 2002: Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and sunphotometer measurements, J. Atmos. Sci., 59, 461-483.
webpagehttp://hyperion.gsfc.nasa.gov/People/Chin/aot.html
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 radioactivityradon-222
2nd radioactivitylead-210
3rd radioactivity
remarks

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarks

Parametrizations

Chemistry & transport

photolysis rate
dry depositionresistance-in-series, Weseley 1986
wet depositionGiogi and Chameides 1986, Balkanski et al. 1993
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)DMS + OH -> SO2 + ... DMS + OH -> MSA + ... DMS + NO3 -> SO2 + ... SO2 + OH -> SO4 + ...
wet phase chemistry (give details)SO2 + H2O2 -> SO4
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
meteorologyGEOS-4 (Goddard Earth Observing System Data Assimilation System version 4, http://gmao.gsfc.nasa.gov
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
remarksVertical: sigma and pressure hybrid coordinate

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
max2001000
min100100

Domain size

Chemistry & transport

HorizontalVertical
maxglobal100000
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 examplesComparison with and analysis of satellite data (Chin et al.,JAS 2002; Chin et al., JGR 2004; Ginoux et al., JGR 2001) Support field experiments (Chin et al., JGR 2003) Analyze aircraft and other in-situ data (Chin et al., JGR 2000, 2003) Assessing aerosol climate forcing (Yu et al., JGR 2004, ACP 2006) Assessing impact of long-range transport of aerosols on regional air quality (Chin et al., in preperation, 2007)

Participation in specific model evaluation exercises

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