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1.
Ａｐｒｏｐｏｓｅｄｄｉｒｅｃｔｉｏｎａｌｆｕｎｃｔｉｏｎａｎｄｗｉｎｄ－ｗａｖｅｄｉｒｅｃｔｉｏｎａｌｓｐｅｃｔｒｕｍ￥ＷｅｎＳｈｅｎｇｃｈａｎｇ；ＷｕＫｅｊｉａｎ；ＧｕａｎＣｈａｎｇｌｏｎｇ；ＳｕｎＳｈｉｃａｉａｎｄＺｈａｎｇＤａｃｕｏ（Ｒｅｃｅｉ... 相似文献
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An unstructured-grid procedure for SWAN is presented. It is a vertex-based, fully implicit, finite difference method which can accommodate unstructured meshes with a high variability in geographic resolution suitable for representing complicated bottom topography in shallow areas and irregular shoreline. The numerical solution is found by means of a point-to-point multi-directional Gauss–Seidel iteration method requiring a number of sweeps through the grid. The approach is stable for any time step while permitting local mesh refinements in areas of interest. A number of applications are shown to verify the correctness and numerical accuracy of the unstructured version of SWAN. 相似文献
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In this study a coupled regional atmosphere-wave-ocean model has been implemented in the Mediterranean Sea and applied to the simulation of the atmospheric circulation and of the upper ocean structure on the short time scale range typical of regional meteorological predictions. The coupling accounts for the feedback of the upper ocean on the atmospheric circulation, that is for the variation of the SST (Sea Surface Temperature) during the development of the cyclones and for the dependence of the SSR (Sea Surface Roughness) on the wind-wave spectrum. The model can operate also in uncoupled mode, with prescribed SST and SSR computed using the Charnock formula (depending on wind speed only). Six case-studies, characterized by strong cyclones and intense air-sea interaction, have been analyzed. A sensitivity analysis is carried out by comparing uncoupled and coupled simulations, carried out including the SST and SSR-feedbacks both separately and simultaneously. The feedbacks have systematic effects on the atmospheric precipitation, on heat and momentum fluxes, and, consequently, on MLD (Mixed Layer Depth), SST, and SWH (Significant Wave Height). For all these quantities, except for SWH, the two feedbacks act in opposite directions. The effect of the SST feedback is larger on latent heat flux, precipitation, sea surface cooling, and, marginally, on mixed layer growth and it determines their reduction when the two feedbacks act simultaneously. The SSR and SST-feedbacks have comparable effect on the SWH field and they both contribute to the SWH reduction. Though the SLP (Sea Level Pressure) and Geopotential minima of single "fall" case-studies can be appreciably modified by the inclusion of the feedbacks, no systematic effect has been identified in these fields, presumably because of the intrinsic unpredictability of the atmospheric circulation. 相似文献
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Jose Henrique G. M. Alves Diana J. M. Greenslade Michael L. Banner 《Journal of Atmospheric & Ocean Science》2002,8(4):239-267
The impact of a modified parametric form of the dissipation source function S ds on the skill of an operational spectral wind-wave model is investigated. Numerical experiments are made with a version of the WAM model presently used operationally by the Australian Bureau of Meteorology to produce sea-state forecasts within the Australian region. Performances of wave hindcasts obtained using several alternative forms of this newly proposed dissipation source function are compared to those produced with forms of S ds commonly used operationally. A new ad hoc technique to compare modelled and observed wave spectra is introduced to assess the quality of calculated one-dimensional frequency spectra.
Our results indicate that wave model performance in terms of integral spectral parameters, such as the significant wave height H s , may benefit from improved parameterisations of the dissipation source term S ds . On the other hand, we also found that model performance was relatively poor in terms of predictions of the one-dimensional frequency spectrum, regardless of the chosen form of S ds . These results suggest that further refinements of the dissipation source term are strongly dependent on improved parametrisations of the nonlinear interactions source term S nl . 相似文献
Our results indicate that wave model performance in terms of integral spectral parameters, such as the significant wave height H s , may benefit from improved parameterisations of the dissipation source term S ds . On the other hand, we also found that model performance was relatively poor in terms of predictions of the one-dimensional frequency spectrum, regardless of the chosen form of S ds . These results suggest that further refinements of the dissipation source term are strongly dependent on improved parametrisations of the nonlinear interactions source term S nl . 相似文献
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对风浪水槽风速分布精确测量，较详细地获得了该水槽风速分布的基本特征和边界对风场的影响情况。明确了水槽边壁和有限的空间限制是影响模拟实验的重要因素。这项工作对于合理选择实验区段，估计实验误差等有重要意义。 相似文献
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Wave modelling - The state of the art 总被引：2，自引：0，他引：2
The WISE Group J.-H.G.M. Alves A. Babanin K. Belibassakis M. Donelan T.H.C. Herbers P.A.E.M. Janssen I.V. Lavrenov R. Magne M. Onorato D. Resio A. Sheremet H.L. Tolman J. Wolf 《Progress in Oceanography》2007,75(4):603-674
This paper is the product of the wave modelling community and it tries to make a picture of the present situation in this branch of science, exploring the previous and the most recent results and looking ahead towards the solution of the problems we presently face. Both theory and applications are considered.The many faces of the subject imply separate discussions. This is reflected into the single sections, seven of them, each dealing with a specific topic, the whole providing a broad and solid overview of the present state of the art. After an introduction framing the problem and the approach we followed, we deal in sequence with the following subjects: (Section) 2, generation by wind; 3, nonlinear interactions in deep water; 4, white-capping dissipation; 5, nonlinear interactions in shallow water; 6, dissipation at the sea bottom; 7, wave propagation; 8, numerics. The two final sections, 9 and 10, summarize the present situation from a general point of view and try to look at the future developments. 相似文献
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Learning from data for wind-wave forecasting 总被引：1，自引：0，他引：1
Along with existing numerical process models describing the wind-wave interaction, the relatively recent development in the area of machine learning make the so-called data-driven models more and more popular. This paper presents a number of data-driven models for wind-wave process at the Caspian Sea. The problem associated with these models is to forecast significant wave heights for several hours ahead using buoy measurements. Models are based on artificial neural network (ANN) and instance-based learning (IBL) .To capture the wind-wave relationship at measurement sites, these models use the existing past time data describing the phenomenon in question. Three feed-forward ANN models have been built for time horizon of 1, 3 and 6 h with different inputs. The relevant inputs are selected by analyzing the average mutual information (AMI). The inputs consist of priori knowledge of wind and significant wave height. The other six models are based on IBL method for the same forecast horizons. Weighted k-nearest neighbors (k-NN) and locally weighted regression (LWR) with Gaussian kernel were used. In IBL-based models, forecast is made directly by combining instances from the training data that are close (in the input space) to the new incoming input vector. These methods are applied to two sets of data at the Caspian Sea. Experiments show that the ANNs yield slightly better agreement with the measured data than IBL. ANNs can also predict extreme wave conditions better than the other existing methods. 相似文献
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Fine sediment resuspension dynamics in a large semi-enclosed bay 总被引：3，自引：0，他引：3
A field study was conducted to investigate fine sediment resuspension dynamics in Moreton Bay, a large semi-enclosed bay situated in South East Queensland, Australia. One S4ADW current meter and three OBS sensors were used to collect the field data on tides, mean currents, waves and suspended sediment concentrations in a mean water depth of 6.1 m for about 3 weeks. Two small cleaning units were specially designed to automatically clean the OBS sensors several times every hour to avoid biological growth on the OBS sensors. Based on the collected field data, the main driving force for fine sediment resuspension is found to be the storm wind-waves generated locally in the Bay, not the tidal current or penetrated ocean swell. The critical wind-wave orbital velocity for sediment resuspension was determined to be Urms=7 cm/s and the critical bed shear stress τcr=0.083–0.095 Pa at this study site. 相似文献
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ＡｐｐｌｉｃａｔｉｏｎｏｆｔｈｅｆｏｕｒｍｏｄｅｌｓｏｆｄｉｒｅｃｔｉｏｎａｌｓｐｅｃｔｒａｉｎｔｈｅＢｏｈａｉＳｅａ￥ＷｕＸｉｕｊｉｅａｎｄＴｅｎｇＸｕｅｃｈｕｎ（ＦｉｒｓｔＩｎｓｔｉｔｕｔｅｏｆＯｃｅａｎｏｇｒａｐｈｙ，ＳｔａｔｅＯｃｅａｎｉｃＡ... 相似文献