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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.

LESNIC: Large Eddy Simulation Nersc Improved Code

General information

Model name and version

short nameLESNIC
full nameLarge Eddy Simulation Nersc Improved Code
revision
date10.11.08
last change

Responsible for this information

nameIgor Esau
instituteNansen Environmental and Remote Sensing Centre
addressThormohlensgt., 47
zip5006
cityBergen
countryNorway
phone+47 55205876
fax+47 55205801
e-mailigore(belongs-to)nersc.no

Additional information on the model

Contact person for model code

same as person above
nameIgor Esau
instituteNansen Environmental and Remote Sensing Centre
divisionsThormohlensgt., 47
street
zip5006
cityBergen
countryNorway
phone+47 55205876
emailigore(belongs-to)nersc.no
fax+47 55205801

Model developer and model user

developer and userdeveloper: Igor Esau, NERSC users: Sergej Zilitinkevich, FMI, FI; Vladimir Alexeev, IARC, USA; George Djolov, Univ. Pretoria, SAR

Level of Knowledge needed to operate model

basic
intermediate
advanced
remarksfor standard experiments, no specific model knowledge is needed; for extended experiments and model development, some basic knowledge and experience with CFD can be useful

Model use at your institution

operational
for research
other use

Model code available?

is available?yes
more detailsby request to the author

Minimum computer resources required

typelaptop PC
time needed for run1-2 hours
storage10-20 Mb

Further information

documentationPartly exists in PDF format and presentations
model referencesEsau, I., 2004: Simulation of Ekman boundary layers by large eddy model with dynamic mixed subfilter closure, Journal of Environmental Fluid Mechanics, 4, 273-303 Esau, I., and Zilitinkevich, S.S., 2006: Universal Dependences between Turbulent and Mean Flow Parameters in Stably and Neutrally Stratified Planetary Boundary Layers, Nonlinear Processes in Geophysics,13,122-144
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 i
other variables ii
other variables iii

Approximations

Boussinesq
anelastic
hydrostatic
flat earth
remarks

Parametrizations

Meteorology

turbulence schemedynamic mixed Smagorinsky; dynamic Smagorinsky; static Smagorinsky; static E-Kolmogorov; no scheme (DNS mode)
deep convectionnot relevant
surface exchangefluxes prescribed or recovered from log-law; MO-law by choice
surface temperatureprescribed or recovered from fluxes
surface humidityprescribed or recovered from fluxes
radiationthermal radiation by Stefan-Boltzmann account
unresolved orographic dragnot relevant
radiation in vegetation
radiation between obstacles
treatment of obstacles
clouds / rainnot included yet
remarks

Initialization & boundary treatment

Initialization

chemistry & transport
meteorologystarts from 1D profiles + 3D perturbations of small amplitude

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

orography
land use
obstacles
vegetation
meteorology
concentrations
emissions
remarks

Data assimilation

Meteorology
nudging technique
adjoint model
3D-VAR
4D-VAR
OI
detailsnudging seems to be working well but more tests are needed still

Boundary conditions

Meteorology
surfacefluxes or variables at the surface
topfluxes or variables at the top
lateral inflowperiodic or enforced periodic
lateral outflowperiodic or enforced periodic

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 equationscentral difference 2nd order by Morinishi et al. (1999) in skew symmetric form
scalar quantitiescentral difference 2nd order by Morinishi et al. (1999) in divergence form
additional informationDirect Furier pressure solver + pressure correction in a prognostic equation
other

Model resolution

Meteorology

HorizontalVertical
max0.30.15
min+0...+0...

Domain size

Meteorology

HorizontalVertical
max10010000
min+0.000001+0.001

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 examplesthe Ekman layer flow (Esau, 2003; Esau, 2004) the flow over heterogenioes surface (Esau and Lyons, 2002; Esau, 2007) the stably stratified flow (Esau and Zilitinkevich, 2006; Zilitinkevich et al., 2007) the convective boundary layer (Esau and Lyons, 2002; Fedorovich et al., 2004) the bulk effect of the PBL on climate (Esau, 2008)

Participation in specific model evaluation exercises

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