Ensemble Kalman Filter
Channel: NEON Science
Date: 2020-03-27

This video is the fourth in the iterative data assimilation block in our Ecological Forecasting series. It extends our discussion of data assimilation to ensemble-based forecasting approaches, which allow us to deal with nonlinear models. More broadly, this video focuses on the idea of relaxing the strict assumptions of the Kalman Filter to allow us to more easily deal with multiple uncertainties, unknown parameters, etc.