Sea Ice Modeling and Data Assimilation (SIMDA)

Integrated Foundations of Sensing, Modeling, and Data Assimilation for Sea Ice Prediction
Department of Defense Multidisciplinary University Research Initiatives program through the Office of Naval Research

Enkf data assimilation

17 Oct 2022 - Max Ramgraber


Data assimilation for a synthetic sea ice model using the Ensemble Kalman Filter (EnKF). The setting consists of a thick ice sheet towards the right and left boundaries, divided by a thin ice sheet in the center. Wind of varying strength and direction acts as a known forcing. We make regular noisy observations and neglect forecast error. The ensemble state uncertainty (grey bands) quickly narrows around the synthetic true state (dashed red line).