Automatic Clustering of Metocean Conditions on the Brazilian Coast

Autor(es)

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

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME; v. 145, n. 4, p. 7-pg., 2023-08-01.

Resumo

This paper introduces a pipeline that assembles a dataset of metocean conditions consisting of wind, wave, and surface currents, and then clusters these data to find the characteristic environmental conditions of each region on 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 of the whole Exclusive Economic Zone and then a focused analysis around the Santos port in Southeastern Brazil. (AU)

• 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
• 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