AUTOMATIC CLUSTERING OF METOCEAN CONDITIONS IN THE BRAZILIAN COAST

Autor(es)

Moreno, Felipe M. ; Tannuri, Eduardo A. ; Cozman, Fabio G.

• Tipo de documento: Artigo Científico
• Fonte: PROCEEDINGS OF ASME 2022 41ST INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2022, VOL 5B; v. N/A, p. 9-pg., 2022-01-01.

Resumo

This paper introduces a pipeline that, first, assembles a dataset of metocean conditions consisting of wind, wave and surface currents, and, second, clusters this data to find the characteristic environmental conditions of each region in the Brazilian coast and the associated Exclusive Economic Zone. Clustering uses the Partitioning Around Medoids algorithm with the silhouette coefficient. As examples, we first present an analysis for the whole Exclusive Economic Zone and then a focused analysis around the Santos port in Southeastern Brazil. (AU)

• Processo FAPESP: 19/07665-4 - Centro de Inteligência Artificial
• Beneficiário: Fabio Gagliardi Cozman
• Modalidade de apoio: Auxílio à Pesquisa - Programa eScience e Data Science - Centros de Pesquisa em Engenharia
• Processo FAPESP: 20/16746-5 - Physics-informed machine learning aplicado para previsões de condições metoceânicas
• Beneficiário: Felipe Marino Moreno
• Modalidade de apoio: Bolsas no Brasil - Doutorado