| Full text | |
| Author(s): |
Moreno, Felipe M.
;
Tannuri, Eduardo A.
;
Cozman, Fabio G.
Total Authors: 3
|
| Document type: | Journal article |
| Source: | JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME; v. 145, n. 4, p. 7-pg., 2023-08-01. |
| 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. (AU) | |
| FAPESP's process: | 20/16746-5 - Physics-informed machine learning applied for forecasting metocean conditions |
| Grantee: | Felipe Marino Moreno |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 19/07665-4 - Center for Artificial Intelligence |
| Grantee: | Fabio Gagliardi Cozman |
| Support Opportunities: | Research Grants - Research Program in eScience and Data Science - Research Centers in Engineering Program |