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Variational assimilation of HF radar surface currents in a coastal ocean model off Oregon

机译:俄勒冈州沿海海洋模型中高频雷达表面电流的变化同化

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The impact of assimilation of sea surface velocity fields observed by a set of high-frequency (HF) radars is studied using a three-dimensional ocean circulation model configured along the Oregon coast. The study period is June-July 2008 featuring upwelling and separation of the coastal currents into the adjacent inte-rior ocean. The nonlinear model is based on the Regional Ocean Modeling System (ROMS) and the data assimilation (DA) component on the AVRORA system utilizing the representer-based variational algorithm. Assimilation proceeds in a series of 3-day windows, providing an analysis solution in each window and a 3-day forecast into the next window. Experiments with two different initial condition error covariances are compared (one is dynamically balanced, based on the linearized equation of state, temperature-salinity relation, and geostrophic and thermal wind balance relations and the other is multivariate unbalanced). While the assimilation impact is statistically better in the case of the balanced covariance, the case with the unbalanced covariance also provides sensible improvement in terms of sur-face velocity and sea surface temperature (SST) model-data forecast statistics. The analysis of representer functions shows that even if the initial condition error covariance is unbalanced, the correction fields at the model initial time are partially balanced after each dynamical field is smoothed independently, due to inherent dynamical properties of the adjoint model. Assimilation of the HF radar surface currents improves not only surface velocity forecasts, but also geometry of the upwelling SST front and the sea surface height (SSH) slope near the coast, as verified against unassimilated satellite SSH and SST data. The assimilation also alters the latitudinal distribution of the time-averaged offshore transport. Com-bined HF radar velocity and other observations, e.g., altimetry, is needed to better constrain surface geo-strophic currents in the entire model domain, including the area not covered by the HF radar data.
机译:使用沿俄勒冈州海岸构造的三维海洋环流模型,研究了由一组高频(HF)雷达观测到的海面速度场同化的影响。研究期为2008年6月至7月,其特征是沿海水流上升并分离到相邻的中间海洋中。非线性模型基于区域海洋建模系统(ROMS)和AVRORA系统上的数据同化(DA)组件,并使用基于代表的变分算法。同化过程在一系列为期3天的窗口中进行,在每个窗口中提供分析解决方案,并在下一个窗口中进行3天的预测。比较了两个具有不同初始条件误差协方差的实验(一个基于状态线性化,温度-盐度关系以及地转和热风平衡关系而动态平衡,另一个是多元不平衡)。尽管在平衡协方差的情况下,同化效果在统计上更好,但在不平衡协方差的情况下,表面速度和海表温度(SST)模型数据预测统计数据也提供了合理的改进。对代表函数的分析表明,即使初始条件误差协方差不平衡,由于伴随模型的固有动力学特性,在每个动力学场独立平滑后,模型初始时间的校正场也会部分平衡。高频雷达表面电流的同化不仅可以改善表面速度预报,而且可以改善上升的海面温度前缘的几何形状以及海岸附近的海面高度(SSH)斜率,这可以通过未经同化的卫星SSH和SST数据进行验证。同化也改变了时间平均的海上运输的纬度分布。需要结合HF雷达速度和其他观测值(例如测高仪),以更好地限制整个模型域(包括HF雷达数据未涵盖的区域)中的表面地转流。

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