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document
Bosboom, J. (author), Mol, M. (author), Reniers, A.J.H.M. (author), Stive, M.J.F. (author), de Valk, C. F. (author)
Although commonly used for the validation of morphological predictions, point-wise accuracy metrics, such as the root-mean-squared error (RMSE), are not well suited to demonstrate the quality of a high-variability prediction; in the presence of (often inevitable) location errors, the comparison of depth values per grid point tends to favour...
journal article 2020
document
Mol, M. (author)
In this study, an improved error metric for morphodynamic models is introduced. Current error metrics, like the classical (Root) Mean Squared Error (RMSE), assume that predictions can be properly validated against observations by regarding the point-wise difference in bed level. This analysis inherently has the problem that phase differences of...
master thesis 2015