An occultation data quality control method, device and equipment and a storage medium

Abstract

The embodiment of the invention discloses an occultation data quality control method, device and equipment and a storage medium, and the method comprises the steps of dividing the matched occultationdata and the corresponding sounding data according to an air pressure layer and a region, and obtaining the target occultation data and the target sounding data; determining the first error data and the first suspicious data based on the double-weight coefficient of the target occultation data; removing the first error data in the target occultation data to obtain first residual data, and determining the deviation data of the first residual data and the target sounding data; determining the second error data and the second suspicious data based on the double-weight coefficient of the deviationdata; removing the occultation data corresponding to the second error data in the first residual data, and obtaining the second residual data; and determining a correlation coefficient of the secondresidual data and the target sounding data, and determining the correct data in the target occultation data based on the correlation coefficient. According to the embodiment of the invention, the reliability of the background field data and the accuracy of quality control of the occultation data can be improved.

Description

technical field [0001] Embodiments of the present invention relate to data processing technologies, and in particular, to a quality control method, device, equipment, and storage medium for occultation data. Background technique [0002] With the continuous development of the satellite industry, occultation detection technology has become a technical means to effectively monitor or predict changes in the atmosphere. To control the quality of the obtained occultation data and obtain the correct data is to use occultation detection technology to carry out atmospheric important step in the analysis. [0003] In the prior art, the traditional standard deviation method and the double-weighted quality control method are mainly used, based on the occultation data itself and the background field data, by generating different judgment criteria and eliminating the erroneous data in the occultation data, so as to realize the accuracy of the occultation data. Among them, the background...

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Problems solved by technology

[0004] However, since the forecast model field data is not real data, it is unreliable to compare it with the occultation data as the background field data, and the erroneous data in the occultation data is eliminated simply based on a certain judgment basis, and the correct data is prone to be eliminated situation, reducing the accuracy of quality control on occultation data

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