This paper describes quality control procedures applied to marine-meteorological timeseries data. The entire quality control procedure consists of several steps varying from a simple range check test to a complex step of identifying outliers based on unsupervised classification. In contrast to the earlier quality control (QC) procedure, many improved QC tests have been included for internal consistency check, for shadowing of shortwave radiation, for identifying weather events using unsupervised classification. The timeseries data of marine-meteorological parameters obtained from buoys deployed by National Institute of Technology (NIOT) and ships with Indian National Center for Ocean Information Services-Real time Automatic Weather Stations (INCOIS-RAWS) setups are used to demonstrate the applicability and performance of the enhanced QC procedure.

本文描述了应用于海洋气象时间序列数据的质量控制程序。整个质量控制程序包括几个步骤，从简单的范围检查测试到基于无监督分类识别异常值的复杂步骤。与早期的质量控制 (QC) 程序相比，许多改进的 QC 测试已包括在内，用于内部一致性检查、短波辐射遮蔽、使用无监督分类识别天气事件。从国家技术学院 (NIOT) 部署的浮标和带有印度国家海洋信息服务中心实时自动气象站 (INCOIS-RAWS) 设置的船舶获得的海洋气象参数的时间序列数据用于证明适用性和性能增强的 QC 程序。