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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.

LAMI: Limited Area Model Italy

General information

Model name and version

short nameLAMI
full nameLimited Area Model Italy
revisionLM 3.16
date07/2005
last change

Responsible for this information

nameMarco Deserti
instituteARPA-SIM
addressviale Silvani, 6 Bologna
zip47100
cityBologna
countryItaly
phone+39051525915
fax+39051
e-mailmdeserti(belongs-to)arpa.emr.it

Additional information on the model

Contact person for model code

same as person above
nameDavide Cesari
instituteARPA-SIM
divisionsModellistica Meteorologica
streetviale Silvani 6
zip40122
cityBologna
countryItaly
phone++39 051 525926
emaildcesari@arpa.emr.it
fax++39 051 525936

Model developer and model user

developer and userCOSMO (COnsortium for Small-scale MOdelling)

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 detailsOnly for research purposes

Minimum computer resources required

typelarge parallel supercomputers
time needed for run1h/day of simulation
storage2GB/day of simulation

Further information

documentation
model referencesSteppeler, J., Doms, G., Sch├Ąttler, U., Bitzer, H.W., Gassmann, A., Damrath, U., Gregoric, G.: Meso-gamma scale forecasts using the nonhydrostatic model LM. Meteorology and Atmospheric Physics, 82 (1 - 4), 75 - 96, 2003.
webpagehttp://cosmo-model.cscs.ch
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 iremark: diagnostic zi and qlc from DIAGMET postproc.
other variables ii
other variables iii

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarksnon-hydrostatic compressible

Parametrizations

Meteorology

turbulence schemeprognostic level 2.5 after Mellor and Yamada (1974)
deep convectionmass flux scheme based on Tiedtke (1989)
surface exchangerefined surface layer scheme incl. laminar BL (roughness layer) based on TKE equation
surface temperature
surface humidity
radiationdelta-two-stream method after Ritter and Geleyn (1992)
unresolved orographic dragorographic drag considered in TKE scheme
radiation in vegetation
radiation between obstacles
treatment of obstacles
clouds / rainelaborate Kessler-type scheme incl. cloud water and ice, rain water and snow.
remarks

Initialization & boundary treatment

Initialization

chemistry & transport
meteorology

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

orographyGLOBE data set of NOAA/NGDC (1km)
land useCORINE data set (1km)
obstacles
vegetation
meteorologyWMO operational world-wide land (Synop,climat..), ship, airplane and satellite measurements, radiosoundings etc., via national and global networks
concentrations
emissions
remarks

Data assimilation

Meteorology
nudging technique
adjoint model
3D-VAR
4D-VAR
OI
detailscontinuous 4D nudging assim. after Schraff (1996), for horizontal wind, Tpot, rel. hum. on all model levels and surface pressure.

Boundary conditions

Meteorology
surfacefriction boundary conditions for horiz. vel., temp. and water substances, non-penetrative for grid-scale mass fluxes, extrapolated boundary cond. for pressure disturbance.
topRayleigh damping layer,non-penetrative boundary conditions = rigid lid with free-slip condition for horiz. vel., temp. and water substances.
lateral inflowinterpolation from DWD's global model GME,with relaxation boundary condition after Davies(1976) for all prognostic variables.
lateral outflow

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 exchange1 hour
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 coordinate, horizontal at top of atmosphere and terrain following below (normalized with standard surface pressure)

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
othersplit-explicit for 2 and 3 time levels

Spatial discretisation

momentum equationsgrid point method with finite difference approximation
scalar quantitiesgrid point method with finite difference approximation
additional information
other

Model resolution

Meteorology

HorizontalVertical
max~7km2800m = highest layer
min~1km20m = lowest layer

Domain size

Meteorology

HorizontalVertical
max2000km20km
min100km20km

Model Validation and Application

Validation & evaluation

Used validation & evaluation methods

analytic solutions
evaluated reference dataset
model intercomparison
additional validation & evaluation efforts

Analytic solutions

Meteorology

u
v
w
T
qv
qlc
qsc
qlr
zi
other
testcase description
testcase references
used data set
reference for evaluation
remarks

Evaluated reference dataset

Meteorology

u
v
w
T
qv
qlc
qsc
qlr
zi
other
testcase description
testcase references
used data set
reference for evaluation
remarksdaily measurements
remarks

Application examples

application examples- daily operational mesoscale weather analysis - daily operational mesoscale weather forecasts - case studies on selected meteorological situations (focus on flood and critical air quality cases)

Participation in specific model evaluation exercises

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