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首页> 外文期刊>Continental Shelf Research: A Companion Journal to Deep-Sea Research and Progress in Oceanography >Obtaining instantaneous water levels relative to a geoid with a 2D storm surge model
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Obtaining instantaneous water levels relative to a geoid with a 2D storm surge model

机译:利用二维风暴潮模型获得相对于大地水准面的瞬时水位

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Current and new applications of 2D storm surge models such as the Dutch Continental Shelf Model (DCSM) require that the models provide proper estimates of the instantaneous water levels expressed relative to a particular geoid, rather than only the tide and surge components expressed relative to the ill-defined model's zero height surface. For DCSM, this is realized by adding the depth-averaged horizontal baroclinic pressure gradients to the model equations, which are derived from 4D salinity and temperature fields provided by the Proudman Oceanographic Laboratory hydrodynamic model (POL's hindcast). The vertical datum of the extended model is fixed to that of the European Gravimetric Geoid model 2008 (EGG08). This is done by an adjustment of the model parameters that depend on the choice of the reference surface (e.g., bathymetry) and by referring the water levels along the open boundaries to this reference surface. Using different numerical experiments we investigate the effects on the water levels of several approximations we have made during the implementation. The ability of the model to reproduce both the mean sea level (MSL) and instantaneous water levels is assessed by a comparison with the MSL derived from POL's hindcast as well as with instantaneous water levels acquired by various radar altimeter satellites. From this comparison we conclude that our modeled MSL is in good agreement with the MSL derived from POL's hindcast; the standard deviation of the differences is below 2. cm. However, larger differences in MSL are observed when comparing the model output with the MSL derived from radar altimeter data. They are attributed to either geoid errors or errors in the used salinity and temperature fields. The root mean squared (rms) differences between observed and modeled instantaneous water levels over the entire model domain varies from 9. cm for data acquired by the TOPEX satellite to 11. cm for data acquired by the GFO-1 satellite. These numbers improve to 8-10. cm on the North Sea, for data acquired by the TOPEX and ERS-2 satellites, respectively. These numbers are a factor two to three larger than the expected accuracy of water levels derived from radar altimeter data (which is ~4 cm). About 25% of these differences can be explained by a bias between the modeled and observed water levels of a single satellite pass. These biases are attributed to errors in the applied correction for the net steric expansion/contraction of the global oceans as this is not captured by DCSM that makes use of the Boussinesq approximation, as well as other errors in model and data.
机译:2D风暴潮模型的当前和新应用(例如荷兰大陆架模型(DCSM))要求模型提供相对于特定大地水准面表示的瞬时水位的适当估计,而不仅仅是相对于大地水准面表示的潮汐和潮汐分量。未定义模型的零高度曲面。对于DCSM,这是通过将深度平均水平斜压梯度添加到模型方程中来实现的,该方程由Proudman海洋实验室水动力模型(POL的后继模型)提供的4D盐度和温度场得出。扩展模型的垂直基准固定为2008年欧洲重力大地水准面模型(EGG08)的垂直基准。这是通过根据参考表面的选择调整模型参数(例如,测深法)并通过将沿开放边界的水位参考该参考表面来实现的。使用不同的数值实验,我们研究了在实施过程中对几种近似值对水位的影响。该模型再现平均海平面(MSL)和瞬时水位的能力是通过与POL后播衍生的MSL以及各种雷达高度计卫星获取的瞬时水位进行比较来评估的。从比较中我们可以得出结论,我们建模的MSL与POL的后验衍生的MSL很好;差异的标准偏差在2. cm以下。但是,将模型输出与从雷达高度计数据得出的MSL进行比较时,会观察到MSL的较大差异。它们归因于大地水准面误差或所用盐度和温度场中的误差。在整个模型域中,观察到的瞬时水位与模型化瞬时水位之间的均方根(rms)差异从TOPEX卫星获取的数据的9. cm到GFO-1卫星获取的数据的11. cm不等。这些数字提高到8-10。在北海厘米处,分别用于TOPEX和ERS-2卫星获取的数据。这些数字比从雷达高度计数据(约为4厘米)得出的预期水位精度高2到3倍。这些差异的大约25%可以通过单个卫星通道的模拟水位与观测水位之间的偏差来解释。这些偏差可归因于全球海洋净空间扩展/收缩的应用校正中的误差,因为使用Boussinesq近似的DCSM无法捕获该误差,以及模型和数据中的其他误差。

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