一种精细化的海洋浮标数据质量控制方法

针对海洋浮标数据获取特点及常见数据错情，本文提出了一种精细化的海洋浮标温盐数据质量控制方法。通过范围检验、尖峰检验、莱因达准则等六个步骤实现浮标数据质量控制，其创新性在于有效集成了多种质量检验法，并且研究了一种融合传统尖峰检验与莱因达准则的质量检验新方法；并以中国近海观测研究网络黄、东海站浮标温盐观测数据为例，验证了本方法的有效性和适用性。该方法可广泛用于海洋浮标温盐观测数据的质量控制，识别出长时间序列数据的异常值。经过本方法质控后的浮标观测数据对于海洋科学研究、海洋气象预报、海洋灾害预警以及渔业发展等具有重要意义。

A new quality control scheme for marine buoy temperature and salinity data

Based on the errors diversity of marine buoy observational data, this study presents a new quality control (QC) system for marine buoy temperature and salinity data. This QC scheme includes 6 checks with PauTa criterion as its core. The innovation of this scheme is that we present a new quality control algorithm that combines the traditional Spike check and PauTa criterion check. Its robustness has been verified by the seawater temperature and salinity data of buoy in the Yellow Sea and East China Sea. Many spurious measurements or outliers in long time series can be effectively identified. We further suggest this new scheme can be used in the quality control of buoy observation data in the future. Furthermore, we stress that the quality-controlled data could be used for marine scientific research, marine meteorological prediction, marine disaster forecast and fishery development.