The results show that the magnitudes of the rainfall discrepancies tend to decrease as rainfall accumulates in the downstream direction. However, the covariance range between these discrepancies is much larger along flow-connected stream network segments than in flow-unconnected stream segments. This in turn could have an effect on the error correlation of the predicted discharges. In addition, the spatial linear models of rainfall errors improved significantly with SSN based models in comparison to pure Euclidean separation distance models.

ElSadaani, M., W.F. Krajewski, and D.L. Zimmerman, River network based characterization of errors in remotely sensed rainfall products in hydrological applications, Remote Sensing Letters, 9(8), 743–752, 2018.