Peak Performance

0,10

1,00

10,00

100,00

1 000,00

10 000,00

79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04

Gfl

op

s

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