North Atlantic unstructured grid wind-wave model with high resolution around Azores Archipelago
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/32005 |
Resumo: | This work focuses on implementing an unstructured grid wind-wave model for the North Atlantic with high resolution around the Azores archipelago. For that purpose, the OceanMesh2D software was implemented to generate the computational mesh, and the WAVEWATCH III (WW3) was used to model the wind-waves. Two HPC clusters were used to run WW3: ARGUS (from the University of Aveiro) and BOB (from the Minho Advanced Computing Center). Two different numerical schemes (explicit and implicit) and two different CPU parallelization algorithms (card-deck and domain decomposition) were used and tested in WW3 for two-week hindcast simulations in ARGUS and BOB. The explicit scheme was less efficient than the implicit scheme in BOB for simulations with 32 to 500 CPUs. Implementing the explicit scheme in ARGUS was slightly more efficient than the implicit scheme implementation in BOB for a lower number of CPU cores. However, in BOB, the implicit scheme with domain decomposition has proven to be scalable for up to 1000 CPU cores, while the explicit scheme with card-deck parallelization was scalable up to 500 cores. WW3 was validated using almost two years of data recorded by four nearshore wave buoys located in the different islands of the archipelago. Error metrics and wave roses for the four buoys were estimated. High energetic wind-wave events induced by extreme atmospheric phenomena passing by the Azores are studied in detail. Moreover, the Azores islands’ wind-wave shadow effect in storm conditions is analyzed. |
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North Atlantic unstructured grid wind-wave model with high resolution around Azores ArchipelagoWAVEWATCH IIIOceanMesh2DNumerical simulationHPCExtreme eventsThis work focuses on implementing an unstructured grid wind-wave model for the North Atlantic with high resolution around the Azores archipelago. For that purpose, the OceanMesh2D software was implemented to generate the computational mesh, and the WAVEWATCH III (WW3) was used to model the wind-waves. Two HPC clusters were used to run WW3: ARGUS (from the University of Aveiro) and BOB (from the Minho Advanced Computing Center). Two different numerical schemes (explicit and implicit) and two different CPU parallelization algorithms (card-deck and domain decomposition) were used and tested in WW3 for two-week hindcast simulations in ARGUS and BOB. The explicit scheme was less efficient than the implicit scheme in BOB for simulations with 32 to 500 CPUs. Implementing the explicit scheme in ARGUS was slightly more efficient than the implicit scheme implementation in BOB for a lower number of CPU cores. However, in BOB, the implicit scheme with domain decomposition has proven to be scalable for up to 1000 CPU cores, while the explicit scheme with card-deck parallelization was scalable up to 500 cores. WW3 was validated using almost two years of data recorded by four nearshore wave buoys located in the different islands of the archipelago. Error metrics and wave roses for the four buoys were estimated. High energetic wind-wave events induced by extreme atmospheric phenomena passing by the Azores are studied in detail. Moreover, the Azores islands’ wind-wave shadow effect in storm conditions is analyzed.O foco deste trabalho esteve na implementação de um modelo de agitação marítima não-estruturado para o Atlântico Norte com alta resolução em torno do arquipélago dos Açores. Para isso, o software OceanMesh2D foi implementado para gerar a malha e o WAVEWATCH III (WW3) foi utilizado para modelar a agitação marítima. Dois clusters HPC foram utilizados para executar o WW3: ARGUS (da Universidade de Aveiro) e o BOB (do Minho Advanced Computing Center). Dois esquemas numéricos distintos (explícito e implícito) e dois algoritmos de paralelização CPU (card deck e decomposição do domínio) foram utilizados e testados no WW3. As performances dessas configurações em termos do tempo elapsado foram comparadas para uma simulação hindcast de duas semanas, no ARGUS e no BOB. O esquema explícito foi menos eficiente que o esquema implícito nas simulações no BOB para 32 a 500 CPUs. Na implementação do esquema explícito do ARGUS, com card deck, foi ligeiramente mais eficiente do que o esquema implícito no BOB para um número mais baixo de CPUs. Contudo, no BOB, o esquema implícito com decomposição do domínio provou ser escalável até 1000 cores de CPU, enquanto que o esquema explícito com paralelização card-deck provou ser escalável até 500 cores. O WW3 foi validado com dados de quase dois anos registados por bóias costeiras localizadas em diferentes ilhas do arquipélago. Métricas de erro e rosas de vento de agitação marítima foram estimados para as bóias. Eventos de agitação marítima de elevada energia induzidos por fenómenos atmosféricos extremos que passaram pelos Açores são estudados em detalhe. Além disso, o efeito de sombra das ilhas dos Açores em condições de tempestade é analisado.2026-07-23T00:00:00Z2021-07-16T00:00:00Z2021-07-16info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/32005engMonteiro, Nuno Manuel Rochainfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:01:53Zoai:ria.ua.pt:10773/32005Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:03:50.227324Repositório 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 |
North Atlantic unstructured grid wind-wave model with high resolution around Azores Archipelago |
title |
North Atlantic unstructured grid wind-wave model with high resolution around Azores Archipelago |
spellingShingle |
North Atlantic unstructured grid wind-wave model with high resolution around Azores Archipelago Monteiro, Nuno Manuel Rocha WAVEWATCH III OceanMesh2D Numerical simulation HPC Extreme events |
title_short |
North Atlantic unstructured grid wind-wave model with high resolution around Azores Archipelago |
title_full |
North Atlantic unstructured grid wind-wave model with high resolution around Azores Archipelago |
title_fullStr |
North Atlantic unstructured grid wind-wave model with high resolution around Azores Archipelago |
title_full_unstemmed |
North Atlantic unstructured grid wind-wave model with high resolution around Azores Archipelago |
title_sort |
North Atlantic unstructured grid wind-wave model with high resolution around Azores Archipelago |
author |
Monteiro, Nuno Manuel Rocha |
author_facet |
Monteiro, Nuno Manuel Rocha |
author_role |
author |
dc.contributor.author.fl_str_mv |
Monteiro, Nuno Manuel Rocha |
dc.subject.por.fl_str_mv |
WAVEWATCH III OceanMesh2D Numerical simulation HPC Extreme events |
topic |
WAVEWATCH III OceanMesh2D Numerical simulation HPC Extreme events |
description |
This work focuses on implementing an unstructured grid wind-wave model for the North Atlantic with high resolution around the Azores archipelago. For that purpose, the OceanMesh2D software was implemented to generate the computational mesh, and the WAVEWATCH III (WW3) was used to model the wind-waves. Two HPC clusters were used to run WW3: ARGUS (from the University of Aveiro) and BOB (from the Minho Advanced Computing Center). Two different numerical schemes (explicit and implicit) and two different CPU parallelization algorithms (card-deck and domain decomposition) were used and tested in WW3 for two-week hindcast simulations in ARGUS and BOB. The explicit scheme was less efficient than the implicit scheme in BOB for simulations with 32 to 500 CPUs. Implementing the explicit scheme in ARGUS was slightly more efficient than the implicit scheme implementation in BOB for a lower number of CPU cores. However, in BOB, the implicit scheme with domain decomposition has proven to be scalable for up to 1000 CPU cores, while the explicit scheme with card-deck parallelization was scalable up to 500 cores. WW3 was validated using almost two years of data recorded by four nearshore wave buoys located in the different islands of the archipelago. Error metrics and wave roses for the four buoys were estimated. High energetic wind-wave events induced by extreme atmospheric phenomena passing by the Azores are studied in detail. Moreover, the Azores islands’ wind-wave shadow effect in storm conditions is analyzed. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-16T00:00:00Z 2021-07-16 2026-07-23T00:00:00Z |
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/10773/32005 |
url |
http://hdl.handle.net/10773/32005 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
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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1799137693482876928 |