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