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Silva PG, Klein AH, González M, et al. Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil. An Acad Bras Cienc. 2015;87(2):623-34doi: 10.1590/0001-3765201520140329.
Silva, P. G., Klein, A. H., González, M., Gutierrez, O., & Espejo, A. (2015). Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil. Anais da Academia Brasileira de Ciencias, 87(2), 623-34. https://doi.org/10.1590/0001-3765201520140329
Silva, Paula G, et al. "Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil." Anais da Academia Brasileira de Ciencias vol. 87,2 (2015): 623-34. doi: https://doi.org/10.1590/0001-3765201520140329
Silva PG, Klein AH, González M, Gutierrez O, Espejo A. Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil. An Acad Bras Cienc. 2015 Apr-Jun;87(2):623-34. doi: 10.1590/0001-3765201520140329. Epub 2015 May 08. PMID: 25993356.
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An Acad Bras Cienc. 2015 Apr-Jun;87(2):623-34. doi: 10.1590/0001-3765201520140329. Epub 2015 May 08.

Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil.

Anais da Academia Brasileira de Ciencias

Paula G Silva, Antonio H F Klein, Mauricio González, Omar Gutierrez, Antonio Espejo

Affiliations

  1. Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil.
  2. Universidad de Cantabria, Spain.

PMID: 25993356 DOI: 10.1590/0001-3765201520140329

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.

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