Prediction skill as fraction of reversals that we correctly predicted across different numbers of observations and sliding windows of localized covariance.

<p>Decreasing observation density makes the prediction problem more difficult while at the same time make the data assimilation stable numerically, and we see a decrease in prediction skill with no covariance shifting. With covariance shifting, skill improves for each observational density and most dramatically with less observation density.