SeaLab Feature

Simulating the behavior of random sea surfaces is a complex task that requires accounting for the inherent randomness and spatial-temporal correlations that govern ocean waves. The sea surface is subject to various forces such as wind, tidal currents, and atmospheric pressure, leading to the formation of wave patterns that are highly irregular and fluctuating. In this context, key statistical elements such as Power Spectral Density (PSD), Coherence Functions, and Correlation Functions are essential for generating realistic simulations of sea surfaces, as they help model the energy distribution, spatial, and temporal relationships between the wave components. These key elements are called SeaLab Feature groups in LabRPS. In addition to common LabRPS feature groups listed here, below is a breakdown of SeamicLab feature groups currently available in LabRPS.

Directional Spectrum

Unlike traditional non-directional spectra that describe wave energy as a function of frequency or wavelength alone, the directional spectrum captures how wave energy is distributed across both frequency and direction, providing a more comprehensive representation of ocean wave behavior.