Representation of model error and parameter estimation
Session 6 Oral Presentation Files
6.1 M. Pulido (KEYNOTE): Parameter estimation beyond the augmented approach: Expectation-Maximization algorithm
6.2 D. Kleist: The use of “stochastic physics” in operational global data assimilation with NGGPS-FV3GFS
6.3 Y. Ruckstuhl: Estimation of NWP parameters using EnKF-based algorithms
6.4 M. Tsyrulnikov: A Bayesian approach to non-Gaussian model error modeling
6.5 J. Farnan: Diagnosing weak-constraint model error forcing and variational bias correction interaction in the ECMWF assimilation system
Downloads
- o6.1_pulido (3 MByte)
- O6.2_Kleist (7 MByte)
- o6.3_ruckstuhl (1 MByte)
- o6.4_tsyrulnikov (598 KByte)
- o6.5_farnan (2 MByte)