Tables
Table S1. Error covariance parameters for the GIM inversion. An exponential function was used to define the prior error covariance matrix with monthly varying sill variance values, two temporal correlation lengths (constant in time), and one spatial correlation length (constant in time). The two temporal correlation length values were combined with the two model-data mismatch variance values to run four inversions which were then averaged to produce the estimates in the study.