Articles | Volume 20, issue 6
https://doi.org/10.5194/os-20-1513-2024
https://doi.org/10.5194/os-20-1513-2024
Research article
 | 
25 Nov 2024
Research article |  | 25 Nov 2024

Assessing storm surge model performance: what error indicators can measure the model's skill?

Rodrigo Campos-Caba, Jacopo Alessandri, Paula Camus, Andrea Mazzino, Francesco Ferrari, Ivan Federico, Michalis Vousdoukas, Massimo Tondello, and Lorenzo Mentaschi

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Storm surge dynamics in the northern Adriatic Sea: comparing AI emulators with high-resolution numerical simulations
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Cited articles

Alessandri, J., Pinardi, N., Federico, I., and Valentini, A.: Storm Surge Ensemble Prediction System for Lagoons and Transitional Environments, Am. Meteorol. Soc., 38, 1791–1806, https://doi.org/10.1175/WAF-D-23-0040.1, 2023. 
Bajo, M., Medugorac, I., Umgiesser, G., and Orlić, M.: Storm surge and seiche modelling in the Adriatic Sea and the impact of data assimilation. Q. J. Roy. Meteorol. Soc., 145, 2070–2084, https://doi.org/10.1002/qj.3544, 2019. 
Bellafiore, D. and Umgiesser, G.: Hydrodynamic coastal processes in the north Adriatic investigated with a 3D finite element model, Ocean Dynam., 60, 225–273, https://doi.org/10.1007/s10236-009-0254-x, 2010. 
Benetazzo, A., Davison, S., Barbariol, F., Mercogliano, P., Favaretto, C., and Sclavo, M.: Correction of ERA5 Wind for Regional Climate Projections of Sea Waves. Water (Switzerland), 14, 1590, https://doi.org/10.3390/w14101590, 2022. 
Bosa, S., Petti, M., and Pascolo, S.: Improvement in the sediment management of a lagoon harbor: The case of Marano Lagunare, Italy, Water, 13, 3074, https://doi.org/10.3390/w13213074, 2021. 
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Short summary
Here we show the development of high-resolution simulations of storm surge in the northern Adriatic Sea employing different atmospheric forcing data and physical configurations. Traditional metrics favor a simulation forced by a coarser database and employing a less sophisticated setup. Closer examination allows us to identify a baroclinic model forced by a high-resolution dataset as being better able to capture the variability and peak values of the storm surge.
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