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GEOS-Chem: Goddard Earth Observing System -Chemistry model

General information

Model name and version

short nameGEOS-Chem
full nameGoddard Earth Observing System -Chemistry model
revisionv7
dateMarch 2006
last change

Responsible for this information

nameRongming Hu
institute
addressCAIR
zip
city
country
phone44 (0)1707284052
fax
e-mailr.hu(belongs-to)herts.ac.uk

Additional information on the model

Contact person for model code

same as person above
nameDaniel Jacob
instituteUniversity of Harvard
divisionsAtmospheric Chemistry Modeling Group
street29 Oxford St
zipMA 02138
cityCambridge
countryUSA
phone
emaildjacob@fas.harvard.edu
fax

Model developer and model user

developer and userThe GEOS–Chem model is a global 3-D model of atmospheric composition driven by assimilated meteorological observations from the Goddard Earth Observing System (GEOS) of the NASA Global Modeling and Assimilation Office. It is applied by research groups around the world to a wide range of atmospheric composition problems, including future climates and planetary atmospheres using general circulation model meteorology to drive the model.

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 detailsContact Professor Daniel Jacob

Minimum computer resources required

typeSGI Origin 16-processor
time needed for run3-4 days for 1 year simulation
storage100G

Further information

documentation
model references
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
remarksLat and Lon projection

Parametrizations

Chemistry & transport

photolysis rateFast-J
dry depositionResistant based on Wesely, 1989 and Jacob et al, 1990, 1992
wet depositionLiu et al. (2002)
remarks

Chemical reactions

Gas & wet phase chemistry

chemical transformations calculated
chemical transformations neglected
other
gas phase chemistry (give details)Jacob (2000)
wet phase chemistry (give details)Jacob (2000)
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 detailssee Park et al (2003)

Initialization & boundary treatment

Initialization

chemistry & transport
meteorology

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

orographyUSGS
land useUSGS
obstacles
vegetation
meteorologyGEOS–1, GEOS–STRAT, GEOS–3, and GEOS-4
concentrations
emissions
remarks

Data assimilation

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

Boundary conditions

Chemistry & transport
surface
top
lateral inflownot needed
lateral outflownot needed

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 exchange15 mins
explain method
variables nested
otherone grid

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

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 solverSMVGEAR II

Model resolution

Chemistry & transport

HorizontalVertical
max5002000
min10070

Domain size

Chemistry & transport

HorizontalVertical
max80000
min3000

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 examplesGenerate vertical profile for satellite retrieval (Hu et al. 2007)

Participation in specific model evaluation exercises

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