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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.

METRAS-PCL: Mesoscale Transport and Fluid Stream Model (End User Version)

General information

Model name and version

short nameMETRAS-PCL
full nameMesoscale Transport and Fluid Stream Model (End User Version)
revision5.0
date2018
last change30.4.2018

Responsible for this information

nameDavid Grawe
instituteUni Hamburg
addressBundesstrasse 55
zip20146
cityHamburg
countryUK
phone+4940428384917
fax
e-maildavid.grawe(belongs-to)uni-hamburg.de

Additional information on the model

Contact person for model code

same as person above
nameMETRAS-PCL support
instituteUniversity of Hamburg
divisionsMeteorological Institute
streetBundesstrasse 55
zip20146
cityHamburg
countryGermany
phone+49-40-42838-4917
emailmetras(belongs-to)uni-hamburg.de
fax+49-40-42838-5452

Model developer and model user

developer and userUni Hamburg, Umweltbundesamt; several consultant companies, university and government users.

Level of Knowledge needed to operate model

basic
intermediate
advanced
remarksFor the end user version, the model input and output has been simplified to enable users with basic knowledge of numerical modelling to use METRAS-PCL. Consultants should follow VDI guidelines 3783 to show that they have intermediate knowledge.

Model use at your institution

operational
for research
other useteaching

Model code available?

is available?in scientific collaborations
more details

Minimum computer resources required

typeLinux; can be used on any current desktop computer and up to high performance computers; some openMP parallelisation if several cores available
time needed for runO(minutes)-O(hours); depends on domain size, length of simulated model time, CPUs
storagesome GB

Further information

documentationhttps://www.mi.uni-hamburg.de/en/arbeitsgruppen/memi/modelle/metras-pcl/metras-pcl-download/metras-pcl-5-0-0.pdf
model references
webpagehttp://www.mi.uni-hamburg.de/metraspcl
additional informationhttps://mailman.rrz.uni-hamburg.de/mailman/listinfo/metras.cen

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 i
other variables ii
other variables iii

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarks

Parametrizations

Meteorology

turbulence scheme
deep convection
surface exchange
surface temperature
surface humidity
radiation
unresolved orographic drag
radiation in vegetation
radiation between obstacles
treatment of obstacles
clouds / rain
remarks

Initialization & boundary treatment

Initialization

chemistry & transport
meteorologyDynamic initialisation: calculation of balanced fields with internal 1D pre-processors based on METRAS-PCL equations

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

orographydata for Germany is supplied: https://www.mi.uni-hamburg.de/en/arbeitsgruppen/memi/modelle/metras-pcl/metras-pcl-download/gritop-l-data-1-0-0.pdf; other domains: data in GIS file format
land usedata for Germany is supplied: https://www.mi.uni-hamburg.de/en/arbeitsgruppen/memi/modelle/metras-pcl/metras-pcl-download/gritop-l-data-1-0-0.pdf; other domains: data in GIS file format
obstacles
vegetation
meteorology1d initialisation profile
concentrations
emissions
remarks

Data assimilation

Meteorology
nudging technique
adjoint model
3D-VAR
4D-VAR
OI
details

Boundary conditions

Meteorology
surfaceconstant values or budget equation
toprigid with damping layers
lateral inflow
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 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
remarks

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 equations
scalar quantities
additional information
other

Model resolution

Meteorology

HorizontalVertical
max
min

Domain size

Meteorology

HorizontalVertical
max
min

Model Validation and Application

Validation & evaluation

Used validation & evaluation methods

analytic solutions
evaluated reference dataset
model intercomparison
additional validation & evaluation efforts
remarksevaluated according to guideline VDI 3783 Blatt 7: https://www.vdi.de/technik/fachthemen/reinhaltung-der-luft/technische-regeln/vdi-richtlinien-fb-ii/rl-programme/richtlinie-3783-blatt-7/

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)