This paper recommends end to end quality assurance methods and quality control tests for High Frequency Radar Networks. We focus on the network that is operated by the Mid Atlantic Regional Association Coastal Ocean Observing System (MARACOOS). The network currently consists of 38 radars making real-time measurements of the surface currents over the continental shelf for a variety of applications including search and rescue planning, oil spill trajectory modelling and providing a transport context for marine biodiversity observing networks. MARACOOS has been delivering surface current measurements to the United States Coast Guard (USCG) since May 2009. Data quality is important for all applications; however, since the USCG uses this surface current information to plan life-saving missions, delivery of the best quality data is crucial. We have mapped the components of the HF radar data processing chain onto the data levels presented in the NASA Earth Science Reference Handbook and have applied quality assurance and quality control techniques at each data level to achieve the highest quality data. There are approximately 400 High Frequency radars (HFRs) deployed globally and the presented techniques can provide a foundation for data quality checks and standardization of the data collected by the large number of systems operating today.

中文翻译：

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高频雷达网络的实时质量保证和质量控制

本文推荐了高频雷达网络的端到端质量保证方法和质量控制测试。我们重点关注由中大西洋区域协会沿海海洋观测系统 (MARACOOS) 运营的网络。该网络目前由 38 个雷达组成，实时测量大陆架上的表面水流，适用于各种应用，包括搜索和救援规划、漏油轨迹建模以及为海洋生物多样性观测网络提供运输环境。自 2009 年 5 月以来，MARACOOS 一直在向美国海岸警卫队 (USCG) 提供表面电流测量。数据质量对于所有应用都很重要；然而，由于美国海岸警卫队使用这些表面电流信息来规划救生任务，因此提供最佳质量的数据至关重要。我们已将高频雷达数据处理链的组件映射到 NASA 地球科学参考手册中提供的数据级别，并在每个数据级别应用质量保证和质量控制技术，以获得最高质量的数据。全球部署了大约 400 个高频雷达 (HFR)，所提出的技术可以为数据质量检查和当今运行的大量系统收集的数据标准化奠定基础。