Automatic Clustering of Metocean Conditions on the Brazilian Coast

dc.contributor.author	Moreno, Felipe M.
dc.contributor.author	Tannuri, Eduardo A.
dc.contributor.author	Cozman, Fabio G.
dc.date.accessioned	2023-08-16T18:46:17Z
dc.date.available	2023-08-16T18:46:17Z
dc.date.copyright	1/31/2023 12:00:00 AM
dc.date.issued	2023
dc.identifier.issn	0892-7219
dc.identifier.other	omae_145_4_041202.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4292470
dc.description.abstract	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.
dc.publisher	The American Society of Mechanical Engineers (ASME)
dc.title	Automatic Clustering of Metocean Conditions on the Brazilian Coast
dc.type	Journal Paper
dc.journal.volume	145
dc.journal.issue	4
dc.journal.title	Journal of Offshore Mechanics and Arctic Engineering
dc.identifier.doi	10.1115/1.4056618
dc.journal.fristpage	41202-1
dc.journal.lastpage	41202-7
dc.page	7
dc.tree	Journal of Offshore Mechanics and Arctic Engineering:;2023:;volume( 145 ):;issue: 004
dc.contenttype	Fulltext