Abstract Linear transformations are widely used in data assimilation for covariance modeling, reducing dimensionality (such as averaging dense observations to form “superobs”), and managing sampling error ensemble assimilation. Here we describe a linear transformation that is optimal the sense that, transformed space, state variables have uncorrelated errors, diagonal gain matrix update step. W...