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Coupling frequency:
Atmosphere-Ocean: 90 minutes (every third full time-timestep step of atmospheric model)
Atmosphere-Land: 30 minutes (also full time-timestep step of atmospheric model)
Atmosphere-Sea Ice: 30 minutes (also full time-timestep step of atmospheric model)
Detailed documentation:
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| Ocean model | NEMO v3.4 |
|---|---|
| Horizontal resolution | 1/4° |
| Vertical resolution | 50 levels in the vertical levels |
| Time step | 18 minutes |
| Sea ice model | CICE 4.0 |
| Sea ice model resolution | 1/4° |
| Sea ice model levels | 1 thickness only |
| Wave model | NO |
| Wave model resolution | N/A |
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Detailed documentation:
For more details on atmospheric DA details, see ECMWF operational analysis documentation at: https://www.ecmwf.int/en/elibrary/16666-part-ii-data-assimilation
For more details on ERA5 details: https://doi.org/10.1002/qj.3803.
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Detailed documentation:
More details on ocean data assimilation details available at http://c-glors.cmcc.it/index/index.html
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| Model dynamics perturbations | NO |
|---|---|
| Model physics perturbations | YES (Ocean Model only, only during perturbed data assimilation cycles) |
If there is a control forecast, is it perturbed? | There is no Control Forecastcontrol forecast |
Detailed documentation: For more info on Ocean D/A ocean DA perturbations, see Brankart (2013) DOI: https://doi.org/10.1016/j.ocemod.2013.02.004
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| Forecast frequency | Monthly |
|---|---|
| Forecast ensemble size | 50 |
| Hindcast years | 1993-2016 |
| Hindcast ensemble size | 40 |
| On-the-fly or static hindcast set? | STATICstatic |
6. Other relevant information
The 10 atmospheric perturbed ICsinitial conditions, the 3 land perturbed ICs initial conditions and the 8 (4 in hindcast mode) ocean perturbed initial conditions are combined to yield 240 (120 in hindcast mode) possible perturbed ICs among initial conditions from which the 50 ICs initial conditions (40 in hindcast mode) are chosen at random, to produce the forecast ensemble are chosen at random.
Detailed documentation:
CMCC technical documentation Gualdi et al (2020) CMCC Technical Note RP0288 DOI: https://doi.org/10.25424/CMCC/SPS3.5
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