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首页> 外文期刊>Weather and forecasting >Model Sensitivity during Extreme Positive and Negative Surges in the Rio de la Plata Estuary: Highlighting the Need for an Appropriate Hindcast/Forecast System
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Model Sensitivity during Extreme Positive and Negative Surges in the Rio de la Plata Estuary: Highlighting the Need for an Appropriate Hindcast/Forecast System

机译:Rio de la Plata河口极端正面和负浪涌期间的模型敏感性:突出了适当的Hindcast /预测系统的需求

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The large and fast-flowing Rio de la Plata (RdP) estuary is affected by extreme storm surges (above +/- 2 m with respect to tidal datum), which have large impacts on the millions of inhabitants and for navigation. In this work the Coastal and Regional Ocean Community Model (CROCO) numerical model was modified and implemented as a set of regional one-way nested 2D applications for the hindcast/forecast of water level in the RdP. A sensitivity analysis (SA) was carried out to determine the impact on the numerical solutions of the uncertainties in the different modeling parameter forcings and to highlight the need for the construction of a modeling system that provides meaningful information to the potential users. The SA included the friction coefficients, the wind speed and direction, the atmospheric surface pressure, and the continental discharge. Water level is most sensitive to uncertainties in the wind forcing; even small changes in this input can create large errors in the water level forecast/hindcast. Forcing with different analyses' wind products yielded differences of up to 50% in the peak water levels. Results also showed that the modeling system requires a reasonable adjustment of the bottom friction parameters; that it is important to include the atmospheric surface pressure forcing; and that, from the point of view of water level forecast, it is not necessary to couple a hydrological model in spite of the enormous runoff of this estuary. Given the strong sensitivity to errors in the wind forcing, we believe it is important to provide estimates of uncertainty together with hindcast/forecast water level for these predictions to be of greatest quality and practical applicability.
机译:大型和快速流动的里约热内卢(RDP)河口受到极端风暴潮(相对于潮汐数据)的影响,对数百万居民和导航有很大影响。在这项工作中,沿海和区域海洋社区模型(Croco)数值模型被修改,并实施为一系列区域单向嵌套2D应用,用于RDP中的水位的Hindcast /预测。进行了灵敏度分析(SA)以确定不同建模参数强制上不确定性的数值解的影响,并突出需要对潜在用户提供有意义信息的建模系统的需求。 SA包括摩擦系数,风速和方向,大气表面压力和大陆排放。水位对风强迫的不确定性最敏感;这种输入的甚至小的变化也可以在水位预测/ Hindcast中产生大的错误。迫使不同的分析“风产品在峰水水平中产生高达50%的差异。结果还表明,建模系统需要合理地调整底部摩擦参数;包括包括大气表面压力强制性的重要性;而且,从水平预测的角度来看,尽管这个河口的巨大径流,但是没有必要偶联水文模型。鉴于风向强制对错误的强烈敏感性,我们认为,为这些预测提供最大的质量和实际适用性,提供对不确定度的估计。

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