Topic
Wave height
About: Wave height is a research topic. Over the lifetime, 5920 publications have been published within this topic receiving 100257 citations.
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TL;DR: In this article, a multiple linear regression is used to predict significant wave heights (Hs) using predictors derived from the sea level pressure (SLP) field, including the use of squared SLP gradients to represent geostrophic winds.
37 citations
TL;DR: In this paper, a process-based morphological model (Delft3D) is used for hydrodynamic and morphodynamic simulations of a schematic embayed beach, where wave forcing conditions are systematically varied between a mixture of time-invariant and time-varying cases.
37 citations
TL;DR: In this paper, the impact of global warming on coastal external environments and coastal defense structures based on simple formulas and diagrams is discussed, where increases in wind speed, wave height and storm surge due to intensification of tropical cyclones are discussed.
37 citations
TL;DR: In this paper, the authors investigated changes in shoreline evolution caused by changes in wave climate and found that there are statistically significant changes in nearshore wave climate conditions and beach alignment between current and future climate scenarios.
Abstract: This paper investigates changes in shoreline evolution caused by changes in wave climate. In particular, a number of nearshore wave climate scenarios corresponding to a ‘present’ (1961–1990) and a future time-slice (2071–2100) are used to drive a beach evolution model to determine monthly and seasonal statistics. To limit the number of variables, an idealised shoreline segment is adopted. The nearshore wave climate scenarios are generated from wind climate scenarios through point wave hindcast and inshore transformation. The original wind forcing comes from regional climate change model experiments of different resolutions and/or driving global climate models, representing different greenhouse-gas emission scenarios. It corresponds to a location offshore the south central coast of England. Hypothesis tests are applied to map the degree of evidence of future change in wave and shoreline statistics relative to the present. Differential statistics resulting from different global climate models and future emission scenarios are also investigated. Further, simple, fast, and straightforward methods that are capable of accommodating a great number of climate change scenarios with limited data reduction requirements are proposed to tackle the problem under consideration. The results of this study show that there are statistically significant changes in nearshore wave climate conditions and beach alignment between current and future climate scenarios. Changes are most notable during late summer for the medium-high future emission scenario and late winter for the medium-low. Despite frequent disagreement between global climate change models on the statistical significance of a change, all experiments agreed in future seasonal trends. Finally, a point of importance for coastal management, material shoreline changes are generally linked to significant changes in future wave direction rather than wave height.
37 citations