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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.

ARPS: Advanced Regional Prediction System

General information

Model name and version

short nameARPS
full nameAdvanced Regional Prediction System
revision
date
last change

Responsible for this information

nameKoen De Ridder
instituteVITO
addressBoeretang 200
zipB-2400
cityMol
countryBelgium
phone(32-14) 33 59 68
fax
e-mailkoen.deridder(belongs-to)vito.be

Additional information on the model

Contact person for model code

same as person above
nameMing Xue
instituteUniversity of Oklahoma
divisionsCenter for Analysis and Prediction of Storms
street
zip
city
countryUnited States
phone
email
fax

Model developer and model user

developer and userThe ARPS model was developed at the University of Oklahoma. There are many users world-wide.

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 detailscan be downloaded from http://www.caps.ou.edu/ARPS/index_flash.html

Minimum computer resources required

typePentium processor
time needed for runtypically 1 hr CPU time per simulated hour for a 100 X 100 grid point domain at 1 km resolution with full physics
storage5-30 Mb per output file (hence per hour for hourly output)

Further information

documentationhttp://www.caps.ou.edu/ARPS/arpsdoc.html
model referencesXue, M., K. K. Droegemeier, and V. Wong, 2000: The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part I: Model dynamics and verification. Meteor. Atmos. Physics., 75, 161-193. Xue, M., K. K. Droegemeier, V. Wong, A. Shapiro, K. Brewster, F. Carr, D. Weber, Y. Liu, and D.-H. Wang, 2001: The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications. Meteor. Atmos. Physics., 76, 134-165. Gao, J., M. Xue, K. Brewster, and K. K. Droegemeier, 2004: A three-dimensional variational data analysis method with recursive filter for Doppler radars. J. Atmos. Oceanic Tech., 21, 457-469.
webpagehttp://www.caps.ou.edu/ARPS/index_flash.html
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 i
other variables ii
other variables iii

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarksARPS is non-hydrostatic and compressible

Parametrizations

Meteorology

turbulence schemeseveral available, we mainly use the 1.5 order TKE scheme, together with the Sun and Chang (1986) non-local mixing length for convective conditions
deep convectionKain-Fritsch
surface exchangeARPS contains a modified version of the Noilhan and Planton (1989) scheme, we have replaced that for our own use by the De Ridder and Schayes (1997) scheme.
surface temperatureid.
surface humidityid.
radiationAdvanced LW & SW schemes
unresolved orographic dragNone, foreseen to incorporate that in the future.
radiation in vegetation
radiation between obstacles
treatment of obstacles
clouds / rainExplicit microphysics.
remarks

Initialization & boundary treatment

Initialization

chemistry & transport
meteorologyInterpolation of 3-D gridded fields from a global model or from a previous coarser ARPS run.

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

orographyGTOPO30
land useCORINE, PELCOM, GLC2000
obstacles
vegetation
meteorologyECMWF or FNL (NCEP 1 degree Final Analysis)
concentrations
emissions
remarks

Data assimilation

Meteorology
nudging technique
adjoint model
3D-VAR
4D-VAR
OI
detailsNudging is available in ARPS, we (VITO) haven't used it so far but we plan to do that in the future.

Boundary conditions

Meteorology
surfaceLand surface scheme De Ridder and Schayes (1997)
topRigid lid, Rayleigh damping.
lateral inflowRelaxation to large-scale fields (nesting)
lateral outflowRelaxation to large-scale fields (nesting)

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 exchangevariable, typically 1 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
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 equations2nd or 4th order finite differencing, or else Zalesak's scheme (monotonic)
scalar quantitiesid.
additional information
other

Model resolution

Meteorology

HorizontalVertical
max502000
min110

Domain size

Meteorology

HorizontalVertical
max300030000
min4015000

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 descriptionGravity waves
testcase references
used data set
reference for evaluationXue, M., K. K. Droegemeier, and V. Wong, 2000: The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part I: Model dynamics and verification. Meteor. Atmos. Physics., 75, 161-193.
remarks

Evaluated reference dataset

Meteorology

u
v
w
T
qv
qlc
qsc
qlr
zi
other
testcase descriptionWangara ABL evolution, and other cases.
testcase references
used data set
reference for evaluationXue, M., K. K. Droegemeier, V. Wong, A. Shapiro, K. Brewster, F. Carr, D. Weber, Y. Liu, and D.-H. Wang, 2001: The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications. Meteor. Atmos. Physics., 76, 134-165.
remarks
remarks

Application examples

application examplesMost work on the investigation of surface energy balance and urban surface parameterisations for mesoscale models, refs: De Ridder, K. (2006), Testing Brutsaert's temperature roughness parameterization for representing urban surfaces in atmospheric models, Geophys. Res. Lett., 33, L13403, doi:10.1029/2006GL026572. De Ridder, K., and C. Mensink, 2003. Surface fluxes and atmospheric stability obtained from a surface energy balance model with parameters estimated from satellite remote sensing. International Journal of Environment and Pollution, 19, 22-31. On-going work on * performing 1-year simulations at hourly resolution * using ARPS for wind energy yield prediction * land use change (in particular urban sprawl) versus atmospheric pollution

Participation in specific model evaluation exercises

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