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Objective verification results for RK parallel runs. Lucio Torrisi CNMCA, National Meteorological Center,Italy. COSMO General Meeting, Moscow 6-9 September 2010. CNMCA NWP System. 3DVAR PSAS FGAT (T,u,v,qv,ps) every 3h using T EMP, PILOT, SYNOP, SHIP, BUOY, Wind Profiler, - PowerPoint PPT Presentation
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Lucio Torrisi
CNMCA, National Meteorological Center,Italy
COSMO General Meeting, Moscow 6-9 September 2010
Objective verification Objective verification results for RK parallel results for RK parallel
runsruns
14 km40 v.l.
7 km40 v.l.
2.8 km50 v.l.
- hydrostatic equations- parameterized convection
- compressible equations- parameterized convection
- compressible equations- explicit convection
CNMCA NWP SystemCNMCA NWP System3DVAR PSAS FGAT (T,u,v,qv,ps) every 3h using TEMP, PILOT, SYNOP, SHIP, BUOY, Wind Profiler,AMSUA rad., AMDAR-ACAR-AIREP, MSG/MODIS AMV, METOP/QUIKSCAT/ERS2 scatt. winds + Land SAF snow mask, IFS SST analysis once a day
Local Area Modelling: COSMO
Data Assimilation:
COSMO-ME (7km) ITALIAN MET SERVICE
Option for selecting the lower boundary condition for vertical wind speed (new NL switch itype_lbc_w): 0/1: RK-like method following iadv_order 2/3: Differencing following iadv_order without RK stepping 4/5: Fourth-order centered differences 0/2/4: include extrapolation of horizontal wind to surface 1/3/5: no extrapolation of horizontal wind to surfacee
In March, itype_bbc_w in COSMO-ME RK (with explicit verticaladvection) parallel run was switched from 1 to 0 .
7km RK/LF comparison
7km RK/LF comparison
RK has a colder bias in stratosphere (Rayleigh damping setting?)
RK slightly warmer than LF in the lower levels
RK slightly less negative bias in wind speed than LF
RK tends to overestimate light precipitation events and underestimate the most intense ones
Heat and moisture source term in p equation
bRbbCMT
MCTT
vd
TTzTTMMQc
p
td
Td )(
v
bRbbCMpvdpd ppzppMpcc
td
pd )(/ v
f
pd
sl
pd
v
pdT S
c
LS
c
L
cQ RH
1
Turbulent heat and Radiaton flux
Diabatic heating due tocloud microphysical sources
flflv PPFFF
pd
dfl
pd
v
d
v
pd
dM c
TRSS
c
TR
R
R
c
TRQ
1
Turbulent flux forwater constituents
Turbulent flux for water constituents and Precipitation (gravitational diffusion) fluxes
Cloud heat sources
Heat and moisture sourceterm in p equation
1/
1 1( )
MC CM CMpd vd T M T T p
vd pd
b b b R b bpd pd
d T pc c Q Q M M M
d t c c
T T p p z T T p pc c
v
bRbb
CMpMpdvdpd
MCTTpdvdpdvdpd
ppzppMQccc
MQcccpcctd
pd
)(/
1//
v
If these new terms are added in the p/T equations, the saturation adjustment scheme has to be consistently adapted to the changes in p/T equations.
The reformulated equations are:
( in coop. with Ronny Petrik)
A preliminary version with QT>>Q
M was already
implemented a few years ago (Torrisi, 2008)
The full version is almost complete Work in the saturation adjustment is ongoing
Heat and moisture sourceterm in p equation
In cooperation with Ronny Petrik
Thanks for the attention!Any questions?