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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.

LME_MH: Lokalmodell mixing heights

General information

Model name and version

short nameLME_MH
full nameLokalmodell mixing heights
revision
date28 Sep 2005
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
nameBarbara Fay
instituteDWD
divisionsKaiserleistr. 42
street
zip63067
cityOffenbach
countryGermany
phone++49 69 8062 2748
emailbarbara.fay(belongs-to)dwd.de
fax++49 69 8062 3721

Model developer and model user

developer and useras above used at DWD and ARPA-SIM,Bologna,Italy.

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 in COSMO and conditionally for research

Minimum computer resources required

type
time needed for run8min for 24h for LME-area, single-tasking on large IBM supercomputer
storage1 GRIB-field per forecast hour

Further information

documentationdocumentation at DWD
model references Fay, B., Schrodin, R., Jacobsen, I. and Engelbart, D.: Validation of mixing heights derived from the operational NWP models at the German Weather Service., in: The determination of the mixing height – current progress and problems, EURASAP workshop proceedings, Risoe National Lab, Denmark, 55-58, 1997. Fay, B. (1998): Evaluation and intercomparison of mixing heights derived from a Richardson number scheme and other mixing height formulae using operational NWP models at the German Weather Service. Harmo5, Rhodos, 18-21 May 1998. Fay, B. and L. Neunhäuserer (2005) Performance of DWD Mixing Height Scheme for LM applications on the urban scale, in Finardi S., A. D’Allura, A. Baklanov, R. De Maria, C. Cascone, B. Fay, A. Kuchin, L. Neunhäuserer, V. Ødegård, L. H. Slørdal and Ariel Stein (2005) NWP-progress report, EU 5FP project FUMAPEX, report D5.4, ARIANET, Milano, Italy, pp 1-14.
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 iinput parameters from LME output
other variables ii(directly or derived)
other variables iii

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarks

Parametrizations

Meteorology

turbulence schemediagnostic extended level 2 after Mellor and Yamada (1974)
deep convectionoutput taken from operational Lokalmodell, see LME model documentation
surface exchangeoutput taken from operational Lokalmodell, see LME model documentation
surface temperatureoutput taken from operational Lokalmodell, see LME model documentation
surface humidityoutput taken from operational Lokalmodell, see LME model documentation
radiationoutput taken from operational Lokalmodell, see LME model documentation
unresolved orographic dragsee LME model documentation
radiation in vegetation
radiation between obstacles
treatment of obstacles
clouds / rainsee LME model documentation
remarks

Initialization & boundary treatment

Initialization

chemistry & transport
meteorologynone in LME_MH (but LME initialized) (MH spin-up time ~1 hour)

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

orographysee LME model documentation
land usesee LME model documentation
obstacles
vegetation
meteorology
concentrations
emissions
remarks

Data assimilation

Meteorology
nudging technique
adjoint model
3D-VAR
4D-VAR
OI
detailsonly in LME model, not in LME_MH

Boundary conditions

Meteorology
surfacesee LME model documentation
topsee LME model documentation
lateral inflowsee LME model documentation
lateral outflowsee LME model documentation

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
remarksidentical hybrid pressure/sigma grid as Lokalmodell

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
other

Spatial discretisation

momentum equationscentered differences
scalar quantitiescentered differences
additional information
other

Model resolution

Meteorology

HorizontalVertical
max14km
min~ 1km20m = lowest layer

Domain size

Meteorology

HorizontalVertical
maxEurope plus (LME domain)tropos+lower stratos
minGermany and smallertropos+lower stratos

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 examples

Participation in specific model evaluation exercises

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