Print Email Facebook Twitter Displacement based error metric for morphodynamic models (abstract) Title Displacement based error metric for morphodynamic models (abstract) Author Bosboom, J. Reniers, A.J.H.M. Faculty Civil Engineering and Geosciences Department Hydraulic Engineering Date 2013-06-09 Abstract The quality of a morphological prediction is often expressed by an overall grid-point based skill score based on the Mean Squared Error (MSE) between the predicted and observed bed levels (Sutherland et al., 2004). Although the MSE is a good measure of the overall error between model and observations, it tends to penalize rather than reward the model’s capability to provide information on features of interest such as scour holes, accumulation zones and migrating tidal channels; a feature that is predicted correctly in terms of timing and size but is (slightly) misplaced leads to a relatively large MSE as compared to a smoother forecast. This makes it difficult to demonstrate the skill of a high variability prediction (Anthes, 1983). Our aim is to overcome this inherent limitation of the MSE and other grid-point based error metrics. To that end, we introduce a new distance measure for 2D morphological change that explicitly takes (dis)agreement in spatial patterns into account. To reference this document use: http://resolver.tudelft.nl/uuid:19e43807-c638-481f-a55b-0fe7361af63b Publisher IAHR ISBN 978-7-89444-548-3 Source RCEM 2013: 8th Symposium on River, Coastal and Estuarine Morphodynamics, Santander, Spain, 9-13 June 2013 Part of collection Institutional Repository Document type conference paper Rights (c) 2013 The Author(s) Files PDF 293549.pdf 155.87 KB Close viewer /islandora/object/uuid:19e43807-c638-481f-a55b-0fe7361af63b/datastream/OBJ/view