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DETERMINING THE UNCERTAINTY OF THE WATER LEVEL RESIDUE OF A NUMERICAL MODEL IN THE MALACCA STRAIT

机译:确定马六甲海峡中一个数值模型的水位残留量的不确定度

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Geographically located between the Andaman Sea and the South China Sea, the water level in the Malacca Strait is indirectly driven by the tide of the two oceans: Indian Ocean and Pacific Ocean. With use of numerical models the tidal variations should be well represented in this area. However, when the model's tidal representation is compared to the actual measurement of local coastal tidal gauges, the observed water level difference amount to more than +/- 30 cm. Based on a 15 years long time series of water level residuals (between 1992 to 2006), it is found that an annual seasonal trend in the residue may be the cause of larger and more complicated physical mechanisms that could not be properly resolved in the 2D barotropic model. For forecasting purposes, it is important to identify and quantify the seasonally varying residue of the model. This study attempts to determine the residue variation and characterize associated uncertainties by determining the daily averaged residues by unique probability distributions on monthly basis. The result of this study will provide a comprehensive error (residue) budget for the oceanographic model of the area applied in forecasting mode.
机译:马六甲海峡的地理位置位于安达曼海和南中国海之间,其水位间接受到印度洋和太平洋这两个海洋潮汐的驱动。使用数值模型,潮汐变化应在该区域得到很好的表示。但是,将模型的潮汐表示与当地沿海潮汐表的实际测量值进行比较时,观察到的水位差超过+/- 30 cm。基于15年的长时间水位残差序列(1992年至2006年之间),发现残渣中的年度季节性趋势可能是更大,更复杂的物理机制无法在二维中正确解决的原因。正压模型。为了进行预测,识别和量化模型的季节性变化残差非常重要。这项研究试图确定残留量的变化,并通过按月通过唯一概率分布确定每日平均残留量来表征相关的不确定性。这项研究的结果将为在预报模式下应用的该区域的海洋学模型提供一个综合误差(残差)预算。

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