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document
Bosboom, J. (author)
This thesis investigates the behaviour of the often used point-wise skill score, the MSESSini a.k.a. BSS, and develops new error metrics that, as opposed to point-wise metrics, take the spatial structure of morphological patterns into account. The...
doctoral thesis 2020
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