Naratip Santitissadeekorn is visiting the Data Assimilation Research Centre (DARC) at the University of Reading today, to give a talk in the DARC Seminar Series on “Joint state-parameter data assimilation by a two-stage filtering technique“.  The talk is about an approach for a joint state-parameter estimation in a sequential data assimilation framework. The state augmentation technique, in which the state vector is augmented by the model parameters, has been investigated in many previous studies and some success with this technique has been reported. However, many geophysical or climate models contain stochastic parameters such as background and observation error variances or those arising from physical parametrization of sub-grid scale processes, in which case the state augmentation technique may become ineffective. In this talk, Naratip will discuss a two-stage filtering technique that runs particle filtering (PF) to estimate parameters while updating the state estimate using Ensemble Kalman filter (EnKF). Further information on the DARC seminar series can be found here.