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1. ATMOSPHERIC MODEL
ECMWF produces routine global analyses for the four
main synoptic hours 00, 06, 12 and 18 UTC and global 10-day forecasts
based on 12 UTC data.
1.1 Model:
| Numerical scheme |
TL511L60 (triangular truncation, resolving
up to wavenumber 511in spectral space, linear reduced Gaussian grid.
60 levels between the earth's surface and 70 km), Semi-Lagrangian
two-time-level semi-implicit formulation. |
| Time-step |
15 minutes |
| Smallest wavelength resolved |
80 km |
| Number of grid points in model |
20,911,680 in upper air and 1,394,112 in surface and
sub-surface layers |
| Grid for computation of physical processes
is the Gaussian grid, on which single level parameters are available. |
The average distance between grid points is close to
39km. |
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Variables at each grid point
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wind, temperature, humidity, cloud fraction and water/ice
content (also (recalculated at each time-step) pressure at surface
grid-points), ozone |
| Included in model |
orography (terrain height and sub-grid-scale characteristics).
Four surface and sub-surface levels (allowing for vegetation
cover, gravitational drainage, capillarity exchange, surface and
sub-surface runoff), Stratiform and convective precipitation,
carbon dioxide (345 ppmv fixed). Aerosol, ozone, solar angle,
diffusion, ground & sea roughness, ground and sea-surface temperature,
ground humidity, snow-fall, snow-cover and snow melt, radiation
(incoming short-wave and out-going long-wave), friction (at
surface and in free atmosphere), sub-grid-scale orographic drag,
gravity waves and blocking effects, evaporation, sensible and latent
heat flux.
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1.2 Data assimilation:
| Global analysis of |
wind, temperature, surface pressure and humidity (four-dimensional
multivariate variational assimilation on 12-hour periods on all model
levels). |
| surface parameters (sea surface temperature
from NCEP, sea ice from SSM/I satellite data, soil water content,
snow depth, ocean surface waves). |
| Data used |
about 200,000 pieces of observational data are actually used per
6-hour period after global data checking and selection:
In-situ conventional data (SYNOP, TEMP and PILOT over land and
sea, DRIBU, aircraft reports).
Synthetic data (PAOB) satellite data (TOVS/ATOVS radiances, SCAT
surface wind, SSM/I total water vapour, SATOB)
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2. OCEAN WAVE MODELS
2.1 Coupled Ocean Wave Model (WAM Cycle 4)
| Domain |
global |
| Numerical scheme |
irregular lat/lon grid, 55 km spacing; spectrum with 30 frequencies
and 24 directions including shallow water effects.
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| Coupling |
Wind forcing of waves every 15 minutes, two way interaction
of winds and waves, sea state dependent drag coefficient. |
2.2 Limited area model (WAM Cycle 4)
| Domain |
North Atlantic, North Sea, Baltic, Mediterranean and
Black Sea. |
| Numerical scheme |
irregular lat/lon grid, 28 km spacing; spectrum 30 frequencies
and 24 directions.
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| Forcing |
6 hourly wind forcing of waves. |
3. ECMWF ENSEMBLE PREDICTION SYSTEM
ECMWF produces a 51 member ensemble of 10-day forecasts
every day, comprising 1 control integration and 50 perturbed integrations.
3.1 Control integration
The control integration is run at TL255L40
resolution using the operational model cycle from the operational TL511
analysis truncated at TL255.
3.2 Perturbed initial conditions
Each member of the 50 perturbed integrations is run from
perturbed initial conditions. These perturbations are constucted from
fast-growing instabilities of the circulation, calculated from the dominant
singular vectors of the forward tangent propagator of the linearised dynamics.
Also included in the initial perturbations are more slowly growing structures
associated with singular vectors evolved from 2 days earlier.
3.3 Perturbed integrations
The 50 perturbed integrations are run with the same model
cycle and resolution as the control integration but with the inclusion
of a stochastic physics parametrisation. Each member of the 50 perturbed
integrations is run with a set of randomly drawn realisations of the stochastic
physics scheme.
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