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Coupling frequency: 1 hour (Better use more specific question? Here or elsewhere?)
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 |
Detailed documentation:
ECHAM6: Stevens et al., 2013
Soil scheme: Hagemann and Stacke, 2014
Runoff scheme: HD : Hagemann and Dümenil-Gates, 2003
More model details? (e.g. land surface model?)
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
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| Hindcast | Forecast | |
|---|---|---|
| Atmosphere initialization | ERA-InterimIFS-Analyses | 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 |
Detailed documentation:
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The assimilation for the atmosphere employs Newtonian relaxation of the reference data with the following variable dependend -dependent relaxation times:
- Divergence divergence (48 hrs)
- Vorticity vorticity (6hrs)
- Temperature temperature (~4hrs)
- logarithm of surface pressure (~4 hrs)
Data assimilation method for control analysis: no ensemble data assimilation
Horizontal and vertical resolution of perturbations:
Perturbations in +/- pairs:
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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GCFS ocean data assimilation: Baehr & Piontek, 2014
More ocean data assimilation details?:
- Assimilation of 3D temperature and salinity (ORAS5 data) using Newtonian relaxation with ~10 days of relaxation time
- Assimilation of sea-ice concentration (ORAS5 data) using Newtonian relaxation with ~20 days of relaxation time
Source and treatment of SST? (Other data sources - altimetry?)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
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