Sentence examples for mean wave climate from inspiring English sources

The exponential term of the equation correctly explains the foreshore and berm morphology under mean wave climate, and the linear term predicts the slope of the asymptotic-planar segment, all with good correlation coefficients (∼0.95) between modelled cross-shore transects and observations.

These changes were linked to the long-term behavior of oceanographic variables such as wave climate and mean sea level.

A method is also proposed to calculate the time-dependent first passage probability for the case where wave climate and mean water depth change with time.

Overall, the buoy-driven model hindcasts have relatively low bias and therefore are best suited for quantifying mean (e.g. monthly or annual) nearshore wave climate conditions rather than extreme or individual wave events.

It is evident from the figure that the region of Roches Noires witnesses a wave climate characterized by higher wave regimes with a mean value of 2.28 m and larger spread in the distribution than the other regions identified.

This broad peak corresponds favourably to the sea-state probabilities in an assumed near-shore shallow water wave climate on the coast of Portugal, yielding a predicted mean annual electrical power production of 240 kW in such conditions.

The region of Roches Noires portrays the best wave climate for surface wave energy extraction with high waves having a mean of 2.28 m that can reach a peak value of 3.42 m and the least variation as characterized by the lowest coefficient of variation (14.8%), indicative of the stability of the wave regime in the time frame considered.

The hindcast analysis reveals firstly strong seasonal fluctuations of wave climate, with winters characterized by large and long-period waves of mean direction spreading from south-west to north-west, and summers characterized by smaller and shorter-period waves originating from norther directions.

Long-term estimates have been provided by means of the most appropriate model selected, thus offering a complete overview of wave climate in the Mediterranean basin based on wave hindcast data.

Accuracy of wave climate assessment is related to the length of available observed records of sea state variables of interest (significant wave height, mean direction, mean period, etc).. Data availability may be increased by record extension methods.

At probable wave energy transmission levels, the predicted change in shoreline wave climate is small.