The Australian coastal ocean radar network: Temporal and spatial scales of HF radar wave data
The Australian coastal ocean radar network: Temporal and spatial scales of HF radar wave data
复制标题
澳大利亚沿海海洋雷达网络：高频雷达波数据的时空尺度
作者：
A. Middleditch;S. Cosoli
高频雷达波数据通过迭代反演过程获得，该过程提供方向谱的估计，从中可以导出波高、周期和方向参数。为了产生可靠的波浪测量，反向散射光谱的关键数据质量要求是二阶区域中的信噪比水平，沿着一阶和二阶分量的清晰分离。增加雷达数据的平均值可以减少采样变化，并提供更可靠的波浪测量。各种空间和时间谱平均计划的实施和评估使用的数据从波浮标在南澳大利亚湾。改进被发现在提取的波数据的质量和结果表明，平均超过至少一个小时的时间段可能是有益的。未来ACORN系统可用网络带宽的升级将提供将近实时波浪和风数据纳入IMOS数据门户的潜力。
HF radar wave data are obtained through an iterative inversion procedure that provides an estimate of the directional spectrum, from which waveheight, period and direction parameters can be derived. The critical data quality requirements for the backscatter spectra, in order to generate reliable wave measurements, are the signal-to-noise levels in the second order regions along with a clear separation of first and second order components. Increased averaging of radar data can reduce the sampling variability and provide more robust wave measurements. A variety of spatial and temporal spectral averaging schemes are implemented and evaluated using data from a wave buoy in the South Australian Gulf. Improvements are found in the quality of extracted wave data and the results suggest that averaging over time periods of at least one hour may be beneficial. Future upgrades in the network bandwidth available from the ACORN systems would provide the potential to include near real-time wave and wind data to the IMOS data portal.