Peak Performance Technical Environment FMI NWP Activities.
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Transcript of Peak Performance Technical Environment FMI NWP Activities.
Peak Performance
0,10
1,00
10,00
100,00
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Gfl
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ECMWF Performance CSC Performance FMI Performance
CRAY-1
X-MP/2X-MP/4
Y-MP/8
C-90/16
VPP700/46VPP700/46
VPP5000/100 + VPP700
X-MP/4
C-94/16
p690/512
T3E/512
p690/960
Technical Environment
Baltic SST/ice data
monitoring
boundaries
archiving
boundariesobservations
forecastvisualization
FMI / Metis
CSC / IBM 1600reportin
g
TEMP, PILOT, SYNOP, SHIP, AIREP, DRIBU OBS : FIMR
1.3 GB/d , 13 MBit/s
14.5 GB/d , 13 MBit/s
2 kB/d
1.4 GB/d100 MBit/s
13.1 GB/d100 MBit/s
ECMWF
HexNet
90 MB/d
SMS
local archive
Baltic SST/ice data
monitoring
boundaries
archiving
boundariesobservations
forecastvisualization
FMI / Metis
CSC / IBM 1600reportin
g
TEMP, PILOT, SYNOP, SHIP, AIREP, DRIBU OBS : FIMR
1.3 GB/d , 13 MBit/s
14.5 GB/d , 13 MBit/s
2 kB/d
1.4 GB/d100 MBit/s
13.1 GB/d100 MBit/s
ECMWF
HexNet
90 MB/d
SMS
Baltic SST/ice data
monitoring
boundaries
archiving
boundariesobservations
forecastvisualization
FMI / Metis
CSC / IBM 1600reportin
g
TEMP, PILOT, SYNOP, SHIP, AIREP, DRIBU OBS :
TEMP, PILOT, SYNOP, SHIP, AIREP, DRIBU OBS : FIMRFIMR
1.3 GB/d , 13 MBit/s
14.5 GB/d , 13 MBit/s
2 kB/d
1.4 GB/d100 MBit/s
13.1 GB/d100 MBit/s
ECMWF
HexNet
90 MB/d
SMS
local archive
local archive
FMI NWP Activities
Model Configuration Data assimilation
Upper air analysis 3-dimensional variational data assimilation
Version HIRVDA 6.2.1, FGAT option
Parameters Surface pressure, temperature, wind components, humidity
Surface analysis Separate analysis, consistent with the mosaic approach of surface/soil processes, for:
• SST, fraction of ice• snow depth• screen level temperature and humidity• soil temperature and humidity at two layers
Grid length 0.2 in the horizontal
Integration domain
438 x 336 gridpoints in rotated lat/lon grid
Levels 40 hybrid levels defined by A and B.
Observation types TEMP, PILOT, SYNOP, SHIP, BUOY, AIREP
First guess 3 h forecast, 3 h cycle
Initialization Digital filter (IDFI)
Cut-off time 2 h for main cycles, 4 h 20 min for intermediate cycles
Assimilation cycle 3 h cycle
Forecast model
Forecast model Limited area gridpoint model
Version Hirlam 6.2.1
Basic equations Primitive equations
Independent variables
, (transformed lat-lon coordinates), η , t
Dependent variables T, u, v, q, ps, cloud water, turbulent kinetic energy
Discretization Arakawa C grid
Grid length 0.2 in the horizontal
Integration domain 438 x 336 gridpoints in rotated lat/lon grid
Levels 40 hybrid levels defined by A and B
Integration scheme Semi-Lagrangian, semi-implicit, t=360 s.
Orography Hirlam physiographic data base, filtered
Physics • Savijärvi radiation scheme• Turbulence based on turbulent kinetic energy• STRACO condensation scheme• Surface fluxes using the drag formulation• Surface and soil processes using mosaic tiles• No gravity wave drag
Horizontal diffusion Implicit fourth order
Forecast length 54 hours
Output frequency 1 hour
Boundaries • 0.2 “frame” boundaries from ECMWF• received four times a day • 3 h temporal resolution
Sodankylä Mast Comparison: HIRLAM vs. ARPEGE
HIRLAM
ARPEGE
32m Temperature
