C

CREMONINI G.

Last name: CREMONINI G.

2021 (v1)

Publication

Metadata-only

On the selection of time-varying scenarios of wind and ocean waves: Methodologies and applications in the North Tyrrhenian Sea

Cremonini G. De Leo F. Stocchino A.

This paper analyses a methodology to identify sub-series of waves parameters and wind speed able to explain the overall variability of the input dataset. To this end, the K-means clustering technique is applied to a 40-year long time series of hindcast data off the Genoa coastline (NW Italy). K-means aims to group the data in a reduced number...

Uploaded on: April 14, 2023