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