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Assimilation of high-frequency radar surface currents into a coastal ocean model of the Middle Atlantic Bight.

机译:将高频雷达表面电流吸收到中大西洋海岸线的沿海海洋模型中。

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摘要

The present work is an attempt to quantify the performance of HF radar observations using the difference between surface currents deduced from three different technologies (a coastal ocean model, HF radar and drifter) and to develop a practical, nearly optimal method to assimilate HF radar data into a coastal ocean model, the New York Harbor Observation and Prediction System (NYHOPS). A nudging or Newtonian damping scheme is developed to assimilate HF radar surface currents. The effectiveness of data assimilation (DA) is evaluated by various comparison methods: tidal analyses, statistical methods and Lagrangian particle-tracking simulations.;The quantitative validation of surface currents derived from HF radar, NYNOPS and drifters during four periods in 2010 and 2011 (total 67 days) showed reasonable comparisons among these three technologies. The root-mean-square-difference (RMSD) of the east-west and north-south component of surface currents showed an error within the order of 18cm/s. Surface currents derived independently from drifters along their trajectories showed that NYHOPS and HF radar yielded similarly accurate results. The comparisons of tidal ellipses from NYHOPS and HF radar against multiple current meter observations show both NYHOPS and HF radar perform well and have similar skill in tidal current estimation. An ensemble-based set of particle tracking simulations using drifters suggests that both the NYHOPS and HF radar currents are representing tidal and inertial time scales correctly.;Impact of DA on NYHOPS's ability in capturing surface currents during hindcast (-24 to 0 h) and forecast (0 to 24 h) periods is analyzed quantitatively. The RMSD of the east-west and north-south components of the surface current between the NYHOPS hindcast and the HF radar showed a slight decrease on the order of 3 cm/s. The tidal analysis of NYHOPS after DA shows slight improvement. The accuracy of surface currents derived from the NYHOPS hindcast after DA shows an average 8% improvement when compared with drifter-derived surface currents. The comparison for NYHOPS forecast surface currents also shows an averaged 5% improvement after DA. Ensemble-based sets of particle tracking simulations for a large number of surface drifters show an improvement for the NYHOPS hindcast of 7% and for the forecast 10% after DA.
机译:当前的工作是尝试使用从三种不同技术(沿海海洋模型,HF雷达和漂移仪)推导出的地表电流之间的差异来量化HF雷达观测的性能,并尝试开发一种实用的,接近最佳的方法来吸收HF雷达数据进入沿海海洋模型,即纽约港观测和预报系统(NYHOPS)。开发了一种微动或牛顿阻尼方案来吸收高频雷达表面电流。数据同化(DA)的有效性通过各种比较方法进行了评估:潮汐分析,统计方法和拉格朗日粒子跟踪模拟;;在2010年和2011年的四个时期中,对来自HF雷达,NYNOPS和漂移的表面电流的定量验证(共67天)显示了这三种技术之间的合理比较。表面电流的东西向和南北向分量的均方根差(RMSD)显示出大约18cm / s的误差。从漂移者沿着其轨迹独立获得的表面电流表明,NYHOPS和HF雷达产生了相似的准确结果。来自NYHOPS和HF雷达的潮汐椭圆与多个电流表观测值的比较表明,NYHOPS和HF雷达均表现良好,并且在潮流估算方面具有相似的技能。基于集合的使用漂移器的粒子跟踪模拟集表明,NYHOPS和HF雷达电流都正确地表示了潮汐和惯性时间尺度。DA对NYHOPS在后播期间(-24至0 h)捕获表面电流的能力的影响以及对预测(0至24小时)的时间段进行了定量分析。 NYHOPS后播和高频雷达之间的表面电流的东西方和南北分量的RMSD略有下降,约为3 cm / s。 DA后NYHOPS的潮汐分析显示略有改善。与漂移产生的表面电流相比,DA后通过NYHOPS后铸得到的表面电流的精度平均提高了8%。 NYHOPS预测表面电流的比较还显示,DA后平均提高了5%。基于集合的大量表面漂移粒子跟踪模拟集显示,在DA之后,NYHOPS后播的改进为7%,而预测的改进为10%。

著录项

  • 作者

    Kuang, Liang.;

  • 作者单位

    Stevens Institute of Technology.;

  • 授予单位 Stevens Institute of Technology.;
  • 学科 Engineering Marine and Ocean.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 162 p.
  • 总页数 162
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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