...
Data assimilation method for control analysis: no ensemble data assimilation
4.2 Ocean and cryosphere
| Hindcast | Forecast | ||
|---|---|---|---|
| Ocean | initializationinitialisation | Ensemble Kalman Filter (LSEIK, Nerger et al., 2006), adapted to MPIOM for 3D Temperature and Salinity (Brune and Baehr, 2020) using EN4 data | Ensemble Kalman Filter (LSEIK, Nerger et al., 2006), adapted to MPIOM for 3D Temperature and Salinity (Brune and Baehr, 2020) using ARGO data |
| Sea-ice initialisation | Ensemble Kalman Filter (LSEIK, Nerger et al., 2006), using OSISAF | Ensemble Kalman Filter (LSEIK, Nerger et al., 2006), using OSISAF | |
| Ocean IC perturbations | via the Kalman Filter | via the Kalman Filter | |
| Unperturbed control forecast? | no | no |
More ocean data assimilation details:
- Assimilation of 3D temperature and salinity using EN4
- Assimilation of sea-ice concentration using OSISAF
Detailed documentation: GCFS ocean data assimilation: Brune and Baehr, 2020
...
5. 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? | no |
Detailed documentation: Baehr et al. (2015)
6. Forecast system and hindcasts
| Forecast frequency | monthly |
|---|---|
| Forecast ensemble size | 50 |
| Hindcast years | 1993 - 2023 |
| Hindcast ensemble size | 30 |
| On-the-fly or static hindcast set? | static |
7. Other relevant information
...
8. Where to find more information
www.dwd.de/climatepredictionsclimatepredictions