scholarly journals Last century changes in ocean wind wave height from global visual wave data

2004 ◽  
Vol 31 (24) ◽  
Author(s):  
Sergey K. Gulev
Keyword(s):  
Wave Height ◽  
Wind Wave ◽  
Wave Data ◽  
Ocean Wind

Implementation and Validation of Wave Watch III Model Offshore the Coastlines of Southern Italy

2006 ◽  
Author(s):  
G. Benassai ◽  
I. Ascione
Keyword(s):  
Applied Sciences ◽  
Wind Wave ◽  
Mesoscale Model ◽  
Wave Model ◽  
Gulf Of Naples ◽  
Wave Data ◽  
Storm Wave ◽  
Nested Grid ◽  
The University ◽  
Ocean Wind

The spectral third-generation ocean wind-wave model WAVEWATCH III (WW3), operational since January 2005 at the Department of Applied Sciences of the University “Parthenope” (Italy), was adopted for simulating wave propagation in the Gulf of Naples. The model was coupled with PSU/NCAR mesoscale model (MM5), which gives wind forcing at 1-h intervals. The model was implemented using a four-nested grid configuration covering the Mediterranean Sea until the Gulf of Naples, the inner mesh with higher resolution (1 km × 1 km). The simulated directional spectral waves were compared with APAT storm wave data recorded in winter 2000 offshore the Gulf of Naples and with wind and wave data collected by Servizio Idrografico e Mareografico offshore the mouth of river Sele in the Gulf of Salerno. The implementation of the wave model with reference to the December 2004 storm on the coastlines of the Gulf of Naples gives evidence of the need of a regional wind-wave model for this orographically complex area.

scholarly journals Non-linear wave data assimilation with an ANN-type wind-wave model and Ensemble Kalman Filter (EnKF)

2010 ◽  
Vol 34 (8) ◽  
pp. 1984-1999 ◽  
Author(s):  
Ahmadreza Zamani ◽  
Ahmadreza Azimian ◽  
Arnold Heemink ◽  
Dimitri Solomatine
Keyword(s):  
Kalman Filter ◽  
Data Assimilation ◽  
Ensemble Kalman Filter ◽  
Wind Wave ◽  
Wave Model ◽  
Linear Wave ◽  
Wave Data ◽  
Non Linear

Validating Ocean Wind Wave Global Hindcast with Visual Observations from VOS

Oceanology ◽  
2020 ◽  
Vol 60 (1) ◽  
pp. 9-19 ◽  
Author(s):  
V. G. Grigorieva ◽  
S. K. Gulev ◽  
V. D. Sharmar
Keyword(s):  
Wind Wave ◽  
Ocean Wind ◽  
Visual Observations

Experimental study on the wave height distribution of wind-induced waves in the growth stage under finite water depth

2019 ◽  
Vol 19 (8) ◽  
pp. 2270-2279
Author(s):  
Ang Gao ◽  
Shiqiang Wu ◽  
Li Chen ◽  
Sien Liu ◽  
Zhun Xu ◽  
...  
Keyword(s):  
Wave Height ◽  
Water Depth ◽  
Growth Stage ◽  
Wind Wave ◽  
Model Parameters ◽  
Height Distribution ◽  
Distribution Models ◽  
Wave Height Distribution ◽  
Comparison Results ◽  
Optimized Model

Abstract With the method of a wind tank experiment, the real scenario of lakes with horizontal and vertical circulation of wind-induced flows is considered, and the features of wind wave height and its distribution in the different conditions of wind blowing distance, wind speed and water depth are studied systematically. Afterwards, comparison of the wave height distributions derived directly from experiment and the typical wave height distribution models show that some defects exist in typical wave height distribution models when describing wind wave height distribution in the wave growth stage. On this basis, we propose a new distribution model which is suitable for the description of wind wave height during the growth stage, and the model parameters are acquired with the programming solution method. Finally, the model is further optimized by relating B to σa, and Hs to σa. Comparison results of the optimized model and the typical ones show that the optimized model has advantages in calculation accuracy and convenience of use.

Characteristics of extreme wind wave events in the Gulf of Gdańsk and associated atmospheric conditions over the Baltic Sea

2020 ◽  
Author(s):  
Aleksandra Cupial ◽  
Witold Cieslikiewicz
Keyword(s):  
Baltic Sea ◽  
Wind Velocity ◽  
Atmospheric Pressure ◽  
Wind Wave ◽  
Atmospheric Conditions ◽  
The Baltic Sea ◽  
Wave Data ◽  
Extreme Wind ◽  
Characteristic Features ◽  
The Baltic

<p>Nowadays, with possible changes in wind patterns and growing interests in the development of wind farms and other forms of renewable energy on the Baltic Sea, statistical characteristic of prevailing wave conditions at the site and changes in energy distribution, are essential. The Gulf of Gdańsk (Southern Baltic Sea) is an especially interesting area due to the presence of very characteristic long peninsula which strongly affects wave propagation and, in consequence, wave energy distribution. The objective of this work is to obtain most characteristic features of extreme storms that had significant impact on the Gulf of Gdańsk during the last half-century and associated meteorological conditions</p><p>In this study we analyse two hindcast datasets which are the result of an EU-funded project HIPOCAS (Cieślikiewicz & Paplińska-Swerpel 2008). The first one is the 44-year long reanalysis of meteorological data produced with the atmospheric model REMO (Jacob & Podzun 1997).</p><p>The second dataset used in this study is wave data produced with wave model WAM. For the modelling of waves over the Baltic Sea, a subset of gridded REMO data were extracted. Wave data have been produced in a rectangular grid in spherical rotated coordinates with the resolution 5’×5’.</p><p>The principal goal of our analysis is twofold. First, we want to estimate long-term stochastic characteristics of some basic meteorological parameters and wind wave fields. Atmospheric pressure at sea level and the wind velocity at 10 m height are analysed. As far as the wind wave data are concerned, we focus on the significant wave height (<em>H<sub>s</sub></em>), mean wave period and the mean direction of wave propagation. Secondly, this study aims to find out the characteristic features of atmospheric conditions causing extreme wind wave events in the Gulf of Gdańsk. To this end, a number of extreme storms, that are critical for a few chosen Gulf of Gdańsk regions, are selected based on <em>H<sub>s</sub></em> time series. For those selected storm periods, the storm depressions’ tracks and the overall evolution of atmospheric pressure and wind velocity fields are examined.</p><p>Our analysis showed two distinct metrological conditions that cause extreme storms in the Gulf of Gdańsk. Cyclones moving along the east side of the Baltic Sea are associated with strong northerly winds, which cause extremely high waves in the Gulf. On the other hand, cyclones travelling east in the zonal direction over the northern Baltic bring strong westerly winds. They significantly raise <em>H<sub>s</sub></em>, although not to the extent observed for the northerly winds.</p><p>In our study, we also look for the essential characteristics of the extreme meteorological conditions via results of the Empirical Orthogonal Functions (EOF) method, applied to the wind velocity vector fields.</p><p>Computations performed within this study were conducted in the TASK Computer Centre, Gdańsk with partial funding from eCUDO.pl project and the Project for Young Scientist No. 539-G210-B412-19.</p><p>Cieślikiewicz, W. & Paplińska-Swerpel, B. (2008), Coastal Engineering, <strong>55</strong>, 894–905.</p><p>Jacob, D. & Podzun, R., (1997). Meteorol. Atmos. Phys., <strong>63</strong>, 119–129.</p>

scholarly journals Variability of the Winter Wind Waves and Swell in the North Atlantic and North Pacific as Revealed by the Voluntary Observing Ship Data

2006 ◽  
Vol 19 (21) ◽  
pp. 5667-5685 ◽  
Author(s):  
Sergey K. Gulev ◽  
Vika Grigorieva
Keyword(s):  
Interannual Variability ◽  
Wave Height ◽  
North Atlantic ◽  
North Pacific ◽  
Significant Wave Height ◽  
Wind Wave ◽  
Significant Wave ◽  
The North ◽  
The North Atlantic ◽  
Wind Sea

Abstract This paper analyses secular changes and interannual variability in the wind wave, swell, and significant wave height (SWH) characteristics over the North Atlantic and North Pacific on the basis of wind wave climatology derived from the visual wave observations of voluntary observing ship (VOS) officers. These data are available from the International Comprehensive Ocean–Atmosphere Data Set (ICOADS) collection of surface meteorological observations for 1958–2002, but require much more complicated preprocessing than standard meteorological variables such as sea level pressure, temperature, and wind. Visual VOS data allow for separate analysis of changes in wind sea and swell, as well as in significant wave height, which has been derived from wind sea and swell estimates. In both North Atlantic and North Pacific midlatitudes winter significant wave height shows a secular increase from 10 to 40 cm decade−1 during the last 45 yr. However, in the North Atlantic the patterns of trend changes for wind sea and swell are quite different from each other, showing opposite signs of changes in the northeast Atlantic. Trend patterns of wind sea, swell, and SWH in the North Pacific are more consistent with each other. Qualitatively the same conclusions hold for the analysis of interannual variability whose leading modes demonstrate noticeable differences for wind sea and swell. Statistical analysis shows that variability in wind sea is closely associated with the local wind speed, while swell changes can be driven by the variations in the cyclone counts, implying the importance of forcing frequency for the resulting changes in significant wave height. This mechanism of differences in variability patterns of wind sea and swell is likely more realistic than the northeastward propagation of swells from the regions from which the wind sea signal originates.

scholarly journals Wind Wave Growth at Short Fetch

2008 ◽  
Vol 38 (7) ◽  
pp. 1597-1606 ◽  
Author(s):  
T. Lamont-Smith ◽  
T. Waseda
Keyword(s):  
Wind Speed ◽  
Wave Height ◽  
Significant Wave Height ◽  
Field Data ◽  
Wind Wave ◽  
Wind Waves ◽  
Retention Rates ◽  
Horizontal Distance ◽  
Wave Tank ◽  
Significant Wave

Abstract Wave wire data from the large wind wave tank of the Ocean Engineering Laboratory at the University of California, Santa Barbara, are analyzed, and comparisons are made with published data collected in four other wave tanks. The behavior of wind waves at various fetches (7–80 m) is very similar to the behavior observed in the other tanks. When the nondimensional frequency F* or nondimensional significant wave height H* is plotted against nondimensional fetch x*, a large scatter in the data points is found. Multivariate regression to the dimensional parameters shows that significant wave height Hsig is a function of U2x and frequency F is a function of U1.25x, where U is the wind speed and x is the horizontal distance, with the result that in general for wind waves at a particular fetch in a wave tank, approximately speaking, the wave frequency is inversely proportional to the square root of the wind speed and the wavelength is proportional to the wind speed. Similarly, the wave height is proportional to U1.5 and the orbital velocity is proportional to U. Comparison with field data indicates a transition from this fetch law to the conventional one [the Joint North Sea Wave Project (JONSWAP)] for longer fetch. Despite differences in the fetch relationship for the wave tank and the field data, the wave height and wave period satisfy Toba’s 3/2 power law. This law imposes a strong constraint on the evolution of wind wave energy and frequency; consequently, the energy and momentum retention rate are not independent. Both retention rates grow with wind speed and fetch at the short fetches present in the wave tank. The observed retention rates are completely different from those typically observed in the field, but the same constraint (Toba’s 3/2 law) holds true.

The extraction of ocean wind, wave, and current parameters using SAR imagery

2007 ◽  
Author(s):  
Moon-Kyung Kang ◽  
Hoonyol Lee ◽  
Moonjin Lee ◽  
Yong-Wook Park ◽  
Wang-Jung Yoon
Keyword(s):  
Wind Wave ◽  
Sar Imagery ◽  
Ocean Wind
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