| Summary: | 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. 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 ...
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