1. Forecast system version
System name: CMCC-SPS3
First operational forecast run: 1st April, 2018
2. Configuration of the forecast model
Is it a coupled model? YES
Coupling frequency:
Atmosphere-Ocean: 90 minutes (every third timestep of atmospheric model)
Atmosphere-Land: 30 minutes (also timestep of atmospheric model)
Atmosphere-Sea Ice: 30 minutes (also timestep of atmospheric model)
2.1 Atmosphere and land surface
| Model | CAM 5.3 (Atmosphere) CLM 4.5 (land surface) |
|---|---|
| Horizontal resolution and grid | 1° lat-lon approx |
| Atmosphere vertical resolution | 46 vertical levels |
| Top of atmosphere | 0.2 hPa (60 km approx.) |
| Soil levels | 10 |
| Time step | 30 minutes |
Detailed documentation:
CAM Model documentation
CLM Model documentation
2.1 Ocean and cryosphere
| Ocean model | NEMO v3.4 |
|---|---|
| Horizontal resolution | 1/4° |
| Vertical resolution | 50 vertical levels |
| Time step | 18 minutes |
| Sea ice model | CICE |
| Sea ice model resolution | 1/4° |
| Sea ice model levels | 1 thicknes sonly |
| Wave model | NO |
| Wave model resolution | N/A |
Detailed documentation: NEMO documentation
3. Initialization and initial condition (IC) perturbations
3.1 Atmosphere and land
| Hindcast | Forecast | |
|---|---|---|
| Atmosphere initialization | ERA Interim | ECMWF operational analysis |
| Atmosphere IC perturbations | 10 | 10 |
Land Initialization | Forced (obs. atmosphere) monthly run initialized from 10-year spin-up | Forced (obs. atmosphere) monthly run initialized from 10-year spin-up |
| Land IC perturbations | 3 | 3 |
| Soil moisture initialization | From land initialization | From land initialization |
| Snow initialization | From land initialization | From land initialization |
| Unperturbed control forecast? | NO | NO |
Detailed documentation:
More DA details N/A
Data assimilation method for control analysis: ECMWF operational
Horizontal resolution of perturbation: N/A
Perturbations in +/- pairs: NO
3.2 Ocean and cryosphere
| Hindcast | Forecast | |
|---|---|---|
| Ocean initialization | C-GLORS Global Ocean 3D-VAR | C-GLORS Global Ocean 3D-VAR |
| Ocean IC perturbations | 4 | 8 |
| Unperturbed control forecast? | NO | NO |
Detailed documentation:
More ocean data assimilation details?
Source and treatment of SST? (Other data sources - altimetry?)
4. Model uncertainties perturbations:
| Model dynamics perturbations | NO |
|---|---|
| Model physics perturbations | NO |
If there is a control forecast, is it perturbed? | N/A |
Detailed documentation: N/A
5. Forecast system and hindcasts
| Forecast frequency | |
|---|---|
| Forecast ensemble size | |
| Hindcast years | |
| Hindcast ensemble size | |
| On-the-fly or static hindcast set? | |
6. Other relevant information
7. Where to find more information
Sanna, A., A. Borrelli, P. Athanasiadis, S. Materia, A. Storto, S. Tibaldi, S. Gualdi, 2017: CMCC-SPS3: CMCC-SPS3: The CMCC Seasonal Prediction System 3. Centro Euro-Mediterraneo sui Cambiamenti Climatici. CMCC Tech. Rep. RP0285, 61pp. Available at adress:
https://www.cmcc.it/it/publications/rp0285-cmcc-sps3-the-cmcc-seasonal-prediction-system-3
