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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.

GME: Globalmodell (of DWD)

General information

Model name and version

short nameGME
full nameGlobalmodell (of DWD)
revision
date24 Aug 2005, Ver.2.6
last change

Responsible for this information

nameBarbara Fay
instituteDWD
addressKaiserleistr. 42
zip63067
cityOffenbach
countryGermany
phone++49 69 8062 2748
fax++49 69 8062 3721
e-mailbarbara.fay(belongs-to)dwd.de

Additional information on the model

Contact person for model code

same as person above
nameDetlev Majewski
instituteDWD
divisionsFE13
streetKaiserleistr. 42
zip63067
cityOffenbach
countryGermany
phone++49 69 8062 2728
emaildetlev.majewski@dwd.de
fax++49 69 8062 3721

Model developer and model user

developer and userGerman Weather Service (DWD), MPI Hamburg, Germany; Pukyong Nat. University of S. Korea; Univ. of Mainz, Germany.

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 detailsconditionally for research

Minimum computer resources required

typelarge supercomputers
time needed for run16min for 24h forecast
storagevery extensive

Further information

documentationModel documentation available at DWD
model referencesMajewski, D., Liermann, D., Prohl, P., Ritter, B., Buchhold, M., Hanisch, T., Paul, G., Wergen, W., Baumgardner, J.: The operational global icosahedral-hexagonal grid point model GME: Description and high resolution tests. Monthly Weather Review, 130, 319 - 338, 2002.
webpage
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 iO3 mixing ratio in stratosphere
other variables ii
other variables iii

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarks

Parametrizations

Meteorology

turbulence schemediagnostic, 2nd order scheme based on Mellor and Yamada (1974)
deep convectionmass flux scheme based on Tiedtke (1989)
surface exchangebased on Louis (1979) for the Prandtl layer
surface temperaturefrom 7-layer prognostic soil model, solution of heat conduction equation
surface humidityfrom 6-layer prognostic soil model, incl. freeze and thaw of soil moisture.
radiationdelta-2-stream method after Ritter and Geleyn (1992).
unresolved orographic dragsub-grid scale orographic drag after Lott and Miller (1997)
radiation in vegetation
radiation between obstacles
treatment of obstacles
clouds / rainelaborate Kessler-style scheme incl. coud water and ice, rain water and snow (Doms and Sch├Ąttler, 1997)
remarks

Initialization & boundary treatment

Initialization

chemistry & transport
meteorologyincrementing digital filter initialisation (IDFI) after Lynch (1997) every 6h with averaging of normal modes in order to remove noise

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

orographyGLOBE data set of NOAA/NGDC (1km)
land useGLC2000 of USGS; 1km, and CORINE (of ETC/LC); 250m
obstacles
vegetation
meteorologyLand, sea, air observations, radiosoundings, satellite and radar data.., all from GTS of WMO and from national observations.
concentrations
emissions
remarks

Data assimilation

Meteorology
nudging technique
adjoint model
3D-VAR
4D-VAR
OI
detailsintermittent data assimilation every 3h on the icosaedral GME grid

Boundary conditions

Meteorology
surfaceSST from analysis fixed during model integration
topmodel top at 10hPa
lateral inflownone (global model)
lateral outflownone (global model)

Nesting

Meteorology
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 coordinates: hybrid pressure (at top of atmos.) and sigma system. horizontal coordinates: regular icosahedral-hexagonal grid of 20 equilateral triangles to allow almost uniform discretisation on sphere following Baumgardner (1983)

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
othersemi-Lagrange for prognostic humidity variables and O3, split semi-implicit for Helmholtz equations

Spatial discretisation

momentum equationson icosahedral grid following Baumgardner (1983)
scalar quantitieson icosahedral grid following Baumgardner (1983)
additional information
other

Model resolution

Meteorology

HorizontalVertical
max
minoperational: 40km10m = lowest layer

Domain size

Meteorology

HorizontalVertical
maxglobal surface to 10hPa
minglobal surface to 10hPa

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 examplesdaily operational global weather forecast up to 174h

Participation in specific model evaluation exercises

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