TY - GEN
T1 - AUTOMATIC CLUSTERING OF METOCEAN CONDITIONS IN THE BRAZILIAN COAST
AU - Moreno, Felipe M.
AU - Tannuri, Eduardo A.
AU - Cozman, Fabio G.
N1 - Publisher Copyright:
Copyright © 2022 by ASME.
PY - 2022/6/5
Y1 - 2022/6/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85140712125&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/c865b5dd-6847-3cd4-adda-3ee2b5cf92bf/
U2 - 10.1115/OMAE2022-78608
DO - 10.1115/OMAE2022-78608
M3 - Contribución a la conferencia
AN - SCOPUS:85140712125
SN - 9780791885901
T3 - Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
BT - Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
PB - American Society of Mechanical Engineers (ASME)
Y2 - 5 June 2022 through 10 June 2022
ER -