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

Overview of attention for article published in Anais da Academia Brasileira de Ciências, May 2015
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Title
Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil
Published in
Anais da Academia Brasileira de Ciências, May 2015
DOI 10.1590/0001-3765201520140329
Pubmed ID
Authors

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

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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The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Student > Bachelor 5 17%
Student > Ph. D. Student 4 13%
Student > Master 3 10%
Student > Doctoral Student 2 7%
Other 5 17%
Unknown 6 20%
Readers by discipline Count As %
Earth and Planetary Sciences 9 30%
Environmental Science 5 17%
Engineering 3 10%
Social Sciences 2 7%
Physics and Astronomy 1 3%
Other 3 10%
Unknown 7 23%