Method, system and device for identifying quality of rainfall observed values in real time

Abstract

The invention relates to a method, system and device for identifying the quality of rainfall observed values in real time. The method comprises the steps of obtaining historical rainfall observed values in a preset time period and corresponding historical radar quantitative rainfall estimated values; dividing the historical rainfall observed values into a plurality of rainfall grade intervals according to the size of rainfall values, and determining an error distribution range of the historical rainfall observed values and the historical radar quantitative rainfall estimated values in each rainfall grade interval; obtaining a real-time rainfall observed value and a corresponding real-time radar quantitative rainfall estimated value, and determining an error distribution range correspondingto a rainfall grade interval to which the real-time rainfall observed value belongs; determining error statistics of the real-time rainfall observed value and the real-time radar quantitative rainfall estimated value; and carrying out quality identification on the real-time rainfall observed value according to the relationship between the error statistics and the error distribution range. According to the method, the advantages of a rain gauge and a radar QPE are integrated, the rainfall observed value is efficiently and accurately identified, and the meteorological service efficiency and level are improved.

Description

technical field [0001] The invention relates to the field of meteorological data application and quality control or identification, in particular to a method, system and equipment for identifying the quality of rainfall observation values ​​in real time. Background technique [0002] In meteorology, the direct measurement of rainfall is realized through rain gauges, and the indirect measurement is mainly through radar, satellite and other equipment. In the monitoring, early warning and forecasting business, a variety of observation data are used for comprehensive analysis. Generally, the rainfall measured by the rain gauge, that is, the rainfall observation value is considered to be the "true value". With the business needs, the deployment density of the rain gauge continues to increase. As of the end of 2019, the number of rain gauge stations of the National Meteorological Department has reached a very high level. With so many stations and high-frequency observations, it is...

AI Technical Summary

Problems solved by technology

The traditional method of identifying the quality of rainfall data is based on the observation value of the rain gauge itself. This method of "being both an athlete and a referee" is obviously unjust or difficult to be "objective". The range of space-time variability is very large, and the commonly used time and space consistency checks also have certain deficiencies

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