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Wave height

About: Wave height is a research topic. Over the lifetime, 5920 publications have been published within this topic receiving 100257 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors compared the non-hydrostatic wave model SWASH with flume observations of infragravity waves propagating over a plane slope and a barred beach, and found that the predicted bulk wave parameters, such as wave height and mean wave period, were in good agreement with the observations.

87 citations

Journal ArticleDOI
TL;DR: A study to predict the daily wave heights in different geographical regions using sequential learning algorithms, namely the Minimal Resource Allocation Network (MRAN) and the Growing and Pruning Radial Basis Function (GAP-RBF) network.

87 citations

Journal ArticleDOI
R. C. T. Rainey1
TL;DR: In this paper, the authors derived an equation for the potential-flow wave loading on a lattice-type offshore structure moving partially immersed in waves, which can be applied computationally by a simple stick model.
Abstract: This paper derives an equation for the potential-flow wave loading on a lattice-type offshore structure moving partially immersed in waves. It is for the limiting case of small lattice-member diameter, and deals entirely in member-centreline fluid properties, so that it can be applied computationally by a simple ‘stick model’ computer program. This field is currently served by a simple two-term semiempirical formula ‘Morison's equation’: the new equation is effectively a replacement for the Morison inertial term, allowing the Morison drag term (or some refinement of it) to describe exclusively the effects of vorticity, which can in principle be calculated to greater accuracy when isolated in this way.The new equation calculates the potential-flow wave load accurate to second order in wave height, which is a great improvement on ‘Morison's equation’: such results can currently only be sought by very much more complicated and computationally intensive methods, of currently uncertain repeatability. Moreover the third-order error is localized at the free-surface intersection, so the equation remains attractive for fully nonlinear problems involving intermittent immersion of lattice members, which are currently beyond even the most sophisticated of these computationally intensive methods. It is shown that the primary reason for this large contrast in computational efficiency is that the loads are derived from energy considerations rather than direct integration of surface pressures, which requires a lower level of flow detail for a given level of load-calculation accuracy.These improvements must of course be seen against the current levels of uncertainty over the calculation of vorticity-induced loads, which in many applications completely dwarf inaccuracies in potential-flow load calculation. The conditions are accordingly established under which the improvements are comparable to the total wave load predicted by the Morison drag and inertia terms in combination. They are that the lattice member diameter is greater than its length/10, or the relative fluid motion/5, or the structure's motion radius/20, or the wavelength/30: if any one of these conditions is satisfied, the new equation is worthwhile even when used in combination with simple vorticity-induced load calculations from a Morison drag term.

87 citations

Journal ArticleDOI
09 Jun 2020-ACS Nano
TL;DR: The TOSS sensor fabricated using tubular triboelectric nanogenerator and hollow-ball buoy can provide ocean-wave parameters, but also can offer significant and accurate data support for cloud computing of ocean big data.
Abstract: An ocean wave contains various marine information, but it is generally difficult to obtain the high-precision quantification to meet the needs of ocean development and utilization. Here, we report a self-powered and high-performance triboelectric ocean-wave spectrum sensor (TOSS) fabricated using a tubular triboelectric nanogenerator (TENG) and hollow ball buoy, which not only can adapt to the measurement of ocean surface water waves in any direction but also can eliminate the influence of seawater on the performance of the sensor. Based on the high-sensitivity advantage of TENG, an ultrahigh sensitivity of 2530 mV mm-1 (which is 100 times higher than that of previous work) and a minimal monitoring error of 0.1% are achieved in monitoring wave height and wave period, respectively. Importantly, six basic ocean-wave parameters (wave height, wave period, wave frequency, wave velocity, wavelength, and wave steepness), wave velocity spectrum, and mechanical energy spectrum have been derived by the electrical signals of TOSS. Our finding not only can provide ocean-wave parameters but also can offer significant and accurate data support for cloud computing of ocean big data.

86 citations

Journal Article
TL;DR: In this article, the authors analyzed one of the longest contemporary wave measurements in the northern Baltic Sea, performed at Almagrundet 1978-2003, and found that significant wave height varies from 0.5 m in May-July to 1.3-1.4 m in December-January.

85 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023166
2022326
2021251
2020262
2019272
2018242