Abstract
This work presents a validation of wave parameters from the new sixty years Downscaled Ocean Waves (DOW) reanalysis database. This study compares quantiles of the Gumbel distribution of Hs (significant wave height) and Tp (peak period) from simulated data with an 11 months' time series obtained from a buoy moored seaward on the Santa Catarina coast. Analysis by means of Gumbel distribution quantiles allows more weight to be given to the highest values of the time series, which are especially important in design projects. The statistical parameters used to verify the fit between the measured and the modeled data included: RMSE, BIAS, Scatter Index and Pearson Correlation Coefficient. Mean direction (θm) validation was conducted qualitatively. The database showed good fit of the mean conditions, especially Hs which was well reproduced by the wave model. Underestimation of Tp, related mainly to the low spatial and temporal resolution of wind data used to generate waves, highlights this general modeling problem. Based on calculated statistical parameters, DOW data were considered comparable to the values obtained by measurements; however, such data must be cautiously used for extreme events analysis and in areas of bimodal sea conditions, where major deficiencies in the database were observed.
Highlights
Understanding free surface oscillations of the ocean is essential for establishing safety guidelines for coastal projects and navigation
Downscaled Ocean Waves (DOW) is a long wave reanalysis database (60 years of wave data) with high spatial and temporal resolution which is available for all ~7000Km of the Brazilian coast through SMC Brazil database, for uses in coastal projects
This method allow more weight to be given to the highest values of the time series, which are especially important in design projects
Summary
Understanding free surface oscillations of the ocean is essential for establishing safety guidelines for coastal projects and navigation. Wave data are indispensable in establishing coastal engineering projects, coastal vulnerability analysis and risk, as well as safety references for vassels traveling near the coast (Reguero et al 2012). SILVA, ANTONIO H.F. KLEIN, MAURICIO GONZÁLEZ, OMAR GUTIERREZ and ANTONIO ESPEJO problems have motivated the use of reanalysis data generated by numerical models. Through numerical modeling of wave generation, it is possible to obtain data on homogeneous temporal and spatial scales. If properly calibrated, the models allow a detailed description of extreme wave regime in areas where long-term records of buoys are not available
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