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1. Forecast system version
System name: GCFS 2.0
First operational forecast run: April 2018
2. Configuration of the forecast model
Is it a coupled model? Yes
Coupling frequency: 1 hour
2.1 Atmosphere and land surface
| Model | ECHAM 6.3.04 (atmosphere) JSBACH (land) |
|---|---|
| Horizontal resolution and grid | T127 (~100 km) on regular Gaussian grid |
| Atmosphere vertical resolution | L95 |
| Top of atmosphere | 0.01 hPa |
| Soil levels | 5 Level 1: 0 - 0.065 m Level 2: 0.065 - 0.319 m Level 3: 0.319 - 1.232 m Level 4: 1.232 - 4.134 m Level 5: 4.134 - 9.834 m |
| Time step | 200 s |
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Runoff scheme: HD Hagemann and Dümenil-Gates, 2003
2.1 Ocean and cryosphere
| Ocean model | MPIOM 1.6.3 |
|---|---|
| Horizontal resolution | TP04 (0.4°) on a tripolar grid |
| Vertical resolution | L40 |
| Time step | 1 h |
| Sea ice model | Thermodynamic and sea-ice dynamics |
| Sea ice model resolution | same as ocean model |
| Sea ice model levels | zero-layer model |
| Wave model | NA |
| Wave model resolution | NA |
Detailed documentation: MPIOM: Jungclaus et al., 2013
3. Initialization and initial condition (IC) perturbations
3.1 Atmosphere and land
| Hindcast | Forecast | |
|---|---|---|
| Atmosphere initialization | ERA-Interim | ECMWF operations |
| Atmosphere IC perturbations | none | none |
Land Initialization | indirect via atmosphere initialization | indirect via atmosphere initialization |
| Land IC perturbations | none | none |
| Soil moisture initialization | indirect via atmosphere initialization | indirect via atmosphere initialization |
| Snow initialization | indirect via atmosphere initialization | indirect via atmosphere initialization |
| Unperturbed control forecast? | yes | yes |
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Data assimilation method for control analysis: no ensemble data assimilation
3.2 Ocean and cryosphere
| Hindcast | Forecast | |
|---|---|---|
| Ocean initialization | ORAS5 | ORAS5 |
| Ocean IC perturbations | The very first hindcast ensemble in 1990 starts with lagged initialisation of the 30 members by each one day. Subsequently, bred vectors add small disturbances to the global three-dimensional ocean temperature and salinity fields | bred vectors add small disturbances to the global three-dimensional ocean temperature and salinity fields |
| Unperturbed control forecast? | yes | yes |
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Detailed documentation: GCFS ocean data assimilation: Baehr & Piontek, 2014
4. Model uncertainties perturbations:
| Model dynamics perturbations | no |
|---|---|
| Model physics perturbations | atmosphere: perturbation of diffusion in uppermost layer |
If there is a control forecast, is it perturbed? | unperturbed control forecast |
Detailed documentation: Baehr et al. (2015)
5. Forecast system and hindcasts
| Forecast frequency | monthly |
|---|---|
| Forecast ensemble size | 50 |
| Hindcast years | 1993 - 2017 |
| Hindcast ensemble size | 30 |
| On-the-fly or static hindcast set? | static |
6. Other relevant information
The forcing database for radiative parameters like ozone, aerosol and greenhouse gases is provided by CMIP6 for the historical period up to 2014. Afterwards, values are kept constant as CMIP6 future scenarios were not yet available.
7. Where to find more information
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