Forecast spectral wave model for the West Portuguese Coast
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/29837 |
Resumo: | This work consists in the validation of a 3rd generation spectral model for the West Coast of Portugal, through a comparative analysis between the observations made by wave buoys and the results of a model. In particular, it is intended to assess in detail the performance of the model under more energetic conditions, to propose possible solutions and improvements that allow for more accurate prediction of extreme events.. The three meteo-oceanographic platforms maintained by the Hydrographic Institute (IH), the Alfredo Ramalho buoy in Leix˜oes, the MONICAN1 buoy in Nazar´e and the maritime buoy in Leix˜oes are the observation points considered for model validation. The modelling system used is based on the WAVEWATCH III ocean spectral model and is characterized by a nested domain configuration, forced globally by the GFS model produced by the NCEP and locally by the European Centre for MediumRange Weather Forecasts (ECMWF). The method used is to compare observations and model results, using various statistical parameters that allowed quantifying the model accuracy. During energetic conditions, forecasts have strong correlations with observations (above 0.80). Overall, the model predictions underestimate significant wave height values of approximately 0.3 m, and the model makes a better prediction when the waves are from the N-NW quadrant. To improve the forecasting method and its validation, it is necessary to use data assimilation methodologies, such as obtained through remote sensing. |
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Forecast spectral wave model for the West Portuguese CoastThis work consists in the validation of a 3rd generation spectral model for the West Coast of Portugal, through a comparative analysis between the observations made by wave buoys and the results of a model. In particular, it is intended to assess in detail the performance of the model under more energetic conditions, to propose possible solutions and improvements that allow for more accurate prediction of extreme events.. The three meteo-oceanographic platforms maintained by the Hydrographic Institute (IH), the Alfredo Ramalho buoy in Leix˜oes, the MONICAN1 buoy in Nazar´e and the maritime buoy in Leix˜oes are the observation points considered for model validation. The modelling system used is based on the WAVEWATCH III ocean spectral model and is characterized by a nested domain configuration, forced globally by the GFS model produced by the NCEP and locally by the European Centre for MediumRange Weather Forecasts (ECMWF). The method used is to compare observations and model results, using various statistical parameters that allowed quantifying the model accuracy. During energetic conditions, forecasts have strong correlations with observations (above 0.80). Overall, the model predictions underestimate significant wave height values of approximately 0.3 m, and the model makes a better prediction when the waves are from the N-NW quadrant. To improve the forecasting method and its validation, it is necessary to use data assimilation methodologies, such as obtained through remote sensing.Este trabalho consiste na validação de um modelo espectral de 3 ª geração para a costa Oeste de Portugal Continental, através de uma análise comparativa entre as observações efectuados por bóias ondógrafo e os resultados de um modelo. Em particular, pretende-se avaliar detalhadamente o desempenho do modelo sob condições mais energéticas, a fim de propor possíveis soluções e melhorias que permita prever com maior precisão eventos extremos. As três plataformas meteo oceanográficas mantidas pelo Instituto Hidrográfico (IH), a bóia Alfredo Ramalho em Leixões, a bóia MONICAN1 na Nazaré e a bóia marítima em Leixões são os pontos de observação considerados para a validação do modelo. O sistema operacional utilizado baseia-se no modelo espectral oceânico WAVEWATCH III e ´e caracterizado por uma configuração de domínio aninhado, forçado globalmente pelo modelo GFS produzido pelo NCEP e localmente pelo European Centre for Medium-Range Weather Forecasts (ECMWF). O método usado consiste na comparação entre observações e resultados do modelo, usando vários parâmetros estatísticos que permitiram quantificar a precisão do modelo. Durante condições energéticas, as previsões têm fortes correlações com as observações (acima de 0.80). No geral, as previsões do modelo subestimam os valores das alturas significativas das ondas de aproximadamente 0.5 m, e o modelo faz uma melhor previsão quando as ondas vêm do quadrante N-NO. Para melhorar o método de previsão e a sua validação, é necessário recorrer a metodologias de assimilação de dados, como por exemplo obtidos através de deteção remota.2020-11-18T16:49:08Z2020-01-01T00:00:00Z2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/29837engFernandes, André Filipe Morgadoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:57:45Zoai:ria.ua.pt:10773/29837Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:02:05.337827Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Forecast spectral wave model for the West Portuguese Coast |
title |
Forecast spectral wave model for the West Portuguese Coast |
spellingShingle |
Forecast spectral wave model for the West Portuguese Coast Fernandes, André Filipe Morgado |
title_short |
Forecast spectral wave model for the West Portuguese Coast |
title_full |
Forecast spectral wave model for the West Portuguese Coast |
title_fullStr |
Forecast spectral wave model for the West Portuguese Coast |
title_full_unstemmed |
Forecast spectral wave model for the West Portuguese Coast |
title_sort |
Forecast spectral wave model for the West Portuguese Coast |
author |
Fernandes, André Filipe Morgado |
author_facet |
Fernandes, André Filipe Morgado |
author_role |
author |
dc.contributor.author.fl_str_mv |
Fernandes, André Filipe Morgado |
description |
This work consists in the validation of a 3rd generation spectral model for the West Coast of Portugal, through a comparative analysis between the observations made by wave buoys and the results of a model. In particular, it is intended to assess in detail the performance of the model under more energetic conditions, to propose possible solutions and improvements that allow for more accurate prediction of extreme events.. The three meteo-oceanographic platforms maintained by the Hydrographic Institute (IH), the Alfredo Ramalho buoy in Leix˜oes, the MONICAN1 buoy in Nazar´e and the maritime buoy in Leix˜oes are the observation points considered for model validation. The modelling system used is based on the WAVEWATCH III ocean spectral model and is characterized by a nested domain configuration, forced globally by the GFS model produced by the NCEP and locally by the European Centre for MediumRange Weather Forecasts (ECMWF). The method used is to compare observations and model results, using various statistical parameters that allowed quantifying the model accuracy. During energetic conditions, forecasts have strong correlations with observations (above 0.80). Overall, the model predictions underestimate significant wave height values of approximately 0.3 m, and the model makes a better prediction when the waves are from the N-NW quadrant. To improve the forecasting method and its validation, it is necessary to use data assimilation methodologies, such as obtained through remote sensing. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-18T16:49:08Z 2020-01-01T00:00:00Z 2020 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/29837 |
url |
http://hdl.handle.net/10773/29837 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137676243238912 |