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ModelIFS Cycle 43r1
Horizontal resolution and grid

Dynamics:TCO319 Cubic cubic octahedral grid

Physics: O320 Gaussian grid (36 km)

Atmosphere vertical resolutionL91 (0.01 hPa)
Top of atmosphere0.01 hPa (approx. 80 km)
Soil levels4
Time step20 minutes

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3. Initialization and initial condition (IC) perturbations

3.1 Atmosphere and land


Re-forecastHindcastForecast
Atmosphere initialization
ERA-InterimECMWF Operationsoperations
Atmosphere IC perturbationsEnsemble data assimilation and leading singular vectors applied to upper air variablesEnsemble data assimilation and leading singular vectors applied to upper air variables

Land Initialization

ERA-Interim land (43r1)ECMWF Operationsoperations
Land IC perturbationsEnsemble data assimilation applied to some land fieldsEnsemble data assimilation applied to some land fields
Soil moisture initializationERA-Interim landECMWF operations
Snow initializationERA-Interim landECMWF operations
Unperturbed control forecast?YesYes

Detailed documentation: IFS cycle 43r1 documentation and SEAS5 user guide

More DA details?

Data assimilation method for control analysis: 4D Var (atmosphere) and 3DVAR (ocean/sea-ice)

Horizontal and vertical resolution of perturbations:  T42L91 SVs+ T399L137 EDA perturbations

Perturbations in +/- pairs: Yes

Detailed documentation: IFS cycle 43r1 documentation and SEAS5 user guide


3.2 Ocean and cryosphere


Re-forecastHindcastForecast
Ocean initializationORAS5ORTA5
Ocean IC perturbations Yes - generated through perturbations to assimilated observations and surface forcingYes - generated through perturbations to assimilated observations and surface forcing
Unperturbed control forecast?NoNo

Detailed documentation: ECMWF ocean reanalysis documentation and SEAS5 user guide
Ocean data assimilation details? Source and treatment of SST? (Other data sources - altimetry?)


4. Model Uncertainties perturbations:

Model dynamics perturbationsNo
Model physics perturbations3-
lev
level SPPT and SPBS

If there is a control forecast, is it perturbed?

Yes

Detailed documentation: IFS cycle 43r1 documentation

5. Forecast system and

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hindcasts

Note, the ECMWF seasonal forecasts cover two time ranges: the long range (LR) forecasts out to 7 months, and annual range (AR) forecasts out to 13 months, the latter not available from C3S. The model used for these forecasts is identical, but they have different numbers of forecast members.

Forecast frequency

monthly (LR)

quarterly (AR)

Forecast ensemble size

51 (LR)

15 (AR)

Re-forecast Hindcast years36 (1981-2016)
Re-forecast Hindcast ensemble size

25 (LR)

15 (AR)

On-the-fly or static re-forecast hindcast set?static
Calibration (bias correction) period1993-2016

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