System name: GCFS 2.0
First operational forecast run: April 2018
Is it a coupled model? Yes
Coupling frequency: 1 hour (Better use more specific question? Here or elsewhere?)
| Model | ECHAM 6.3.04 |
|---|---|
| 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 |
Detailed documentation:
ECHAM6: Stevens et al., 2013
Soil scheme: Hagemann and Stacke, 2014
More model details? (e.g. land surface model?)
| 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
| Hindcast | Forecast | |
|---|---|---|
| Atmosphere initialization | ERA-Interim | IFS-Analyses |
| 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 |
Detailed documentation:
More DA details?
The assimilation for the atmosphere employs Newtonian relaxation of the reference data with the following variable dependend relaxation times:
Data assimilation method for control analysis: same as for perturbed members
Horizontal and vertical resolution of perturbations:
Perturbations in +/- pairs:
| 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 |
Detailed documentation:
GCFS ocean data assimilation: Baehr & Piontek, 2014
More ocean data assimilation details?
Assimilation of sea-ice concentration ( coming from ORAS5) using Newtonian relaxation with ~20 days of relaxation time
Source and treatment of SST? (Other data sources - altimetry?)
| 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 |
| Forecast frequency | monthly |
|---|---|
| Forecast ensemble size | 50 |
| Hindcast years | 1993 - 2017 |
| Hindcast ensemble size | 30 |
| On-the-fly or static hindcast set? | static |