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2.1 Atmosphere and land surface
| Model | IFS Cycle 43r1 |
|---|---|
| Horizontal resolution and grid | Dynamics:TCO319 cubic octahedral grid Physics: O320 Gaussian grid (36 km) |
| Atmosphere vertical resolution | L91 |
| Top of atmosphere | 0.01 hPa (approx. 80 km) |
| Soil levels (layers) | 4 Layer 1 : 0 - 7 cm |
| Time step | 20 minutes |
Detailed documentation: IFS cycle 43r1 documentation
2.2 Ocean and cryosphere
| Ocean model | NEMO v3.4 |
|---|---|
| Horizontal resolution | ORCA 0.25 |
| Vertical resolution | L75 |
| Time step | 1 hour |
| Sea ice model | LIM2 |
| Sea ice model resolution | ORCA 0.25 |
| Sea ice model levels | N/A |
| Wave model | ECMWF wave model |
| Wave model resolution | 0.5 degrees |
Detailed documentation: NEMO documentation and IFS cycle 43r1 documentation
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Most forcings are those used by default in CY43r1 NWP configurations such as HRES or ENS, and are described in more detail in the IFS 43r1 documentation. Some options used by ERA5 were also adopted for SEAS5, notably the time-variation of tropospheric sulphate aerosol and the solar forcing. Only the specification of volcanic aerosol was specific to SEAS5, and this was designed to allow a real-time response to any major volcanic eruption.
| Greenhouse gases | CMIP5 historical values of CO2, CH4, N2O, CFC11 and CFC12 to 2005, then RCP3-PD (otherwise known as RCP2.6 - see van Vuuren et al. 2011) values from 2006 onwards. Used in combination with a zonal mean seasonal cycle to give space and time varying fields. |
|---|---|
| Ozone | Radiation scheme sees a seasonally varying but otherwise fixed climatological ozone field. The standard Cy43r1 climatology used is based on the CAMSiRA reanalysis of ozone. |
| Tropospheric aerosols | Sulphate aerosol has decadally varying values, calculated (using CMIP5 historical emissions to 2005 followed by RCP4.5 emissions) by the NCAR CAM3.5 model and processed for use by the IFS (see Hersbach et al., 2013). Other aerosols (dust, salt, organic matter, black carbon) have a fixed seasonally-varying climatology from Tegen et al. The cloud scheme uses two fixed values representing continental/maritime air, with no time variation. |
| Volcanic aerosols | Based on vertically integrated AODs from the 2012 update by GISS (https://data.giss.nasa.gov/modelforce/strataer/). Damped persistence from 3 initial values (NH, tropics, SH), with a fixed vertical profile and optical properties representing sulphate aerosol with a fixed particle size distribution. Initial values for real-time forecasts generally set to a climatological background, but would be set to best estimated values after any large eruptions. No such eruptions have occurred so far. |
| Solar forcing | Time-variation of total solar insolation (TSI), specified as CMIP5 annual mean values up to 2008, then a repeat 13 year cycle. No variation in solar spectrum. See Hersbach et al., 2013. |
Detailed documentation: IFS cycle 43r1 documentation and SEAS5 user guide
4. Initialization and initial condition (IC) perturbations
4.1 Atmosphere and land
| Hindcast | Forecast | |
|---|---|---|
| Atmosphere initialization | ERA-Interim | ECMWF operations |
| Atmosphere IC perturbations | Ensemble data assimilation and leading singular vectors applied to upper air variables | Ensemble data assimilation and leading singular vectors applied to upper air variables |
Land Initialization | 43r1 land surface model driven by ERA-Interim (like ERA-Interim land) | ECMWF operations |
| Land IC perturbations | Ensemble data assimilation applied to some land fields | Ensemble data assimilation applied to some land fields |
| Soil moisture initialization | 43r1 land surface model driven by ERA-Interim (like ERA-Interim land) | ECMWF operations |
| Snow initialization | 43r1 land surface model driven by ERA-Interim (like ERA-Interim land) | ECMWF operations |
| Unperturbed control forecast? | Yes | Yes |
Data assimilation method for control analysis: 4D Var (atmosphere) and 3DVAR (ocean/sea-ice)
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Detailed documentation: IFS cycle 43r1 documentation and SEAS5 user guide
4.2 Ocean and cryosphere
| Hindcast | Forecast | |
|---|---|---|
| Ocean initialization | ORAS5 | ORTA5 |
| Ocean IC perturbations | Yes - generated through perturbations to assimilated observations and surface forcing | Yes - generated through perturbations to assimilated observations and surface forcing |
| Unperturbed control forecast? | No | No |
Detailed documentation: ECMWF ocean reanalysis documentation and SEAS5 user guide
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5. Model Uncertainties perturbations:
| Model dynamics perturbations | No |
|---|---|
| Model physics perturbations | 3-level SPPT and SPBS |
If there is a control forecast, is it perturbed? | Yes |
Detailed documentation: IFS cycle 43r1 documentation
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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) |
| Hindcast years | 36 (1981-2016) |
| Hindcast ensemble size | 25 (LR) 15 (AR) |
| On-the-fly or static hindcast set? | static |
7. Other relevant information
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The IFS uses sigma coordinates in the vertical, meaning that near-surface model levels follow the orography. When spectral fields are transformed to pressure levels, such as temperature at 850 hPa, the resulting fields are output in spectral space and thus must be spatially complete. Interpolation from the IFS sigma coordinates to pressure levels must be done in grid-point space, and to allow the required globally complete fields uses complex extrapolation formulae for temperature below the surface of any orography. A similar approach is used when calculating global mean sea-level pressure fields. The detailed formulae used by the IFS are contained in the FULLPOS documentation by Karim Yessad, maintained at CNRM.http://www.umr-cnrm.fr/gmapdoc/IMG/pdf/ykfpos43.pdf.
8. Where to find more information
ECMWF seasonal forecast documentation page
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