Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652015000200623 |
Resumo: | 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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Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South BrazilDOWvalidationwave reanalysisWAVEWATCHIIIThis 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.Academia Brasileira de Ciências2015-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652015000200623Anais da Academia Brasileira de Ciências v.87 n.2 2015reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201520140329info:eu-repo/semantics/openAccessSilva,Paula G.Klein,Antonio H.F.González,MauricioGutierrez,OmarEspejo,Antonioeng2016-03-04T00:00:00Zoai:scielo:S0001-37652015000200623Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2016-03-04T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil |
title |
Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil |
spellingShingle |
Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil Silva,Paula G. DOW validation wave reanalysis WAVEWATCHIII |
title_short |
Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil |
title_full |
Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil |
title_fullStr |
Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil |
title_full_unstemmed |
Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil |
title_sort |
Performance assessment of the database downscaled ocean waves (DOW) on Santa Catarina coast, South Brazil |
author |
Silva,Paula G. |
author_facet |
Silva,Paula G. Klein,Antonio H.F. González,Mauricio Gutierrez,Omar Espejo,Antonio |
author_role |
author |
author2 |
Klein,Antonio H.F. González,Mauricio Gutierrez,Omar Espejo,Antonio |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Silva,Paula G. Klein,Antonio H.F. González,Mauricio Gutierrez,Omar Espejo,Antonio |
dc.subject.por.fl_str_mv |
DOW validation wave reanalysis WAVEWATCHIII |
topic |
DOW validation wave reanalysis WAVEWATCHIII |
description |
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. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652015000200623 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652015000200623 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765201520140329 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.87 n.2 2015 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
_version_ |
1754302861217366016 |