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Model predictions of nearshore processes near complex bathymetry

机译:复杂浴室附近近岸进程的模型预测

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Waves undergo significant transformation over complex bathymetry, and the resulting nearshore wave conditions can be sensitive to small changes in the offshore wave forcing. A potential consequence of this transformation sensitivity is large uncertainties in modeled nearshore waves owing to the amplification of the error in the deep water spectra used as initial conditions. In preparation for the upcoming Nearshore Canyon Wave Experiment in La Jolla, CA, a boundary condition sensitivity' analysis was performed over the region's submarine canyon bathymetry using the SWAN wave model The sensitivity analysis included varying the offshore spectrum discretization (frequency and directional bandwidths), the peak period and direction of the spectra, and the frequency and directional spreads. In each case, the magnitude of the spectral variations was governed by the expected uncertainties when initializing a nearshore model with a) typical buoy data for the area, and b) global WAM model hindcasts or forecasts. In addition, data from the Torrey Pines Outer Buoy (located 12 km offshore) from the first week of November 2001 wereused to initialize the model, and the maximum change seen in the domain over the course of the week were compared to those derived from the sensitivity analysis. The nearshore locations that showed the largest change in wave height over time were also the areas most sensitive to boundary condition errors, and correspond to areas of wave focusing. Errors in the estimation of the peak offshore wave direction were found to have the greatest impact on the accuracy of the nearshore wave predictions. The coarse directional resolution (15 degrees) of deep water spectra provided by the present generation of operational global models is shown to be a significant source of error when hindcasting or forecasting nearshore waves over complex bathymetry.
机译:波浪在复杂的浴权上经历显着的转化,并且由此产生的近岸波条件对海上波迫使的小变化可能敏感。由于在用作初始条件的深水谱中的误差,这种转化灵敏度的潜在后果是模型的近脑波的不确定性。在用于拉霍亚,CA即将近岸峡谷波实验制剂,经使用SWAN波模型中的灵敏度分析包括改变所述近海光谱离散化(频率和方向性的带宽)的区域的海底峡谷水深进行的边界条件的敏感性”分析,光谱的峰值周期和方向,以及频率和方向差。在每种情况下,频谱变化的幅度受到初始化该区域的典型浮标数据的近海模型时的预期不确定性的管辖,B)全球WAM模型HindCasts或预测。此外,来自2001年11月的第一周的Torrey Pines外浮标(位于离岸12公里)的数据被认为是初始化模型,并且在本周域中看到的最大变化与来自的那些敏感性分析。随着时间的推移显示波高的最大变化的近孔位置也是边界条件误差最敏感的区域,对应于波形聚焦的区域。发现峰值近海波方向估计的误差对近岸波预测的准确性产生了最大的影响。通过本到本发明的运营全球模型提供的深水谱的粗方向分辨率(15度)被证明是在复杂碱度释放中的近骨波的近于波浪时是一个重要的误差来源。

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