Real-Time Wave Data Quality Control Algorithm.

摘要

Wave data quality control is a common practice in climatological or model verification applications, and it is based on both objective criteria and human experience. Traditional wave models do not use wave observations. Initial fields are retrieved only from wind fields. Currently, new data assimilation techniques in wave models are being tested in order to improve the forecast by assimilating wave observations. This paper gives a first approach to real-time quality control of wave height and period observations from ships, buoys and platforms in the North Sea and Norwegian Sea. The method follows in a simple manner, the idea of Comprehensive Quality Control (CQC) first applied at the Hydrometeorological Center in Moscow and already in practice at the National Meteorological Center in Washington for height and temperature rawinsonde data. The principle of the method is not to reject data by the application of successive checks, but to apply at least two more or less independent checks and then evaluate the results by a so-called Decision Making Algorithm (DMA). The DMA can either reject, accept, suspect, correct or rehabilitate the data.