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.
Moreno, F. M., Tannuri, E. A., & Cozman, F. G. (2022). AUTOMATIC CLUSTERING OF METOCEAN CONDITIONS IN THE BRAZILIAN COAST. In Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE (Vol. 5-B). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/OMAE2022-78608
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