Appropriate design of marine structures, such as offshore facilities and harbours, requires a detailed estimation of synthetic wave parameters. Inaccuracies and unreliability of wave data have implications in many aspects of marine engineering, such as structural strength, cost, and design. In this paper, a critical analysis of the most common data acquisition methods is made, focusing on in-situ instrumentation and numerical models. Considering the Pantelleria island as case study, records of a proprietary wave buoy and the ERA5 dataset of ECMWF (European Centre for Medium-Range Weather Forecasts) have been compared. This paper first highlights the methods and challenges of offshore experimental campaigns for wave monitoring and eventually presents a critical and quantitative comparison of the two approaches (experimental versus numerical), highlighting their respective advantages and disadvantages.

Comparison of the ERA5 Wave Forecasting Dataset against Buoy Record / Cervelli, G.; Parrinello, L.; Moscoloni, C.; Giorgi, G.. - In: INSTRUMENTATION MESURE MÉTROLOGIE. - ISSN 1631-4670. - 21:3(2022), pp. 87-95. [10.18280/i2m.210301]

Comparison of the ERA5 Wave Forecasting Dataset against Buoy Record

Cervelli G.;Parrinello L.;Moscoloni C.;Giorgi G.
2022

Abstract

Appropriate design of marine structures, such as offshore facilities and harbours, requires a detailed estimation of synthetic wave parameters. Inaccuracies and unreliability of wave data have implications in many aspects of marine engineering, such as structural strength, cost, and design. In this paper, a critical analysis of the most common data acquisition methods is made, focusing on in-situ instrumentation and numerical models. Considering the Pantelleria island as case study, records of a proprietary wave buoy and the ERA5 dataset of ECMWF (European Centre for Medium-Range Weather Forecasts) have been compared. This paper first highlights the methods and challenges of offshore experimental campaigns for wave monitoring and eventually presents a critical and quantitative comparison of the two approaches (experimental versus numerical), highlighting their respective advantages and disadvantages.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2972392
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