A Quality Control Method for Hourly Rainfall Data of Regional Automatic Weather Stations

Abstract

The invention discloses a regional automatic weather station hourly rainfall data quality control method. The method comprises the steps that a discriminant model is established according to historical data; raindrop spectrometer data, weather radar data and automatic weather station rainfall data are collated in real time; the data of a number of raindrop spectrometers are used to evaluate and revise a radar echo intensity result; the relationship between the radar echo intensity and the rain intensity is fitted according to different precipitation types; the fitted relationship is substituted into a radar quantitative estimation precipitation module to realize radar quantitative rainfall estimation to acquire hourly rainfall; the set of weather radar estimated hourly rainfall and regional automatic weather station hourly rainfall is established; and comparing with the pre-established discriminant model is carried out to judge whether the regional automatic weather station hourly rainfall data are abnormal. The automatic weather station rainfall data are accurate and reliable. The observation data quality is improved. The method lays a good foundation for weather monitoring, early warning, forecasting and other businesses.

Description

technical field [0001] The invention relates to the technical field of meteorological data quality control, in particular to a method for controlling the quality of hourly rainfall data of regional automatic weather stations. Background technique [0002] In recent years, with the advancement of the modernization of my country's surface meteorological observation, the number of automatic weather stations in the country has exceeded 50,000, but this has also increased the difficulty of maintenance. The rainfall data of the automatic weather station is an important basis for accurately reflecting the real-time precipitation. However, there are certain problems in the actual use process, such as: the relocation of the station leads to inaccurate geographical location information, and the tipping bucket rain gauge is easily affected by the surrounding wind. , debris blockage, artificial watering, destruction and improper maintenance and other factors cause rainfall measurement e...

AI Technical Summary

Problems solved by technology

[0005] In the above-mentioned automatic weather station precipitation data quality control methods, the accuracy of the radar data is not evaluated. At the same time, the Z-R relationship coefficient used in the radar quantitative precipitation estimation is also given by the predecessors, which is not necessarily suitable for the current precipitation system.

Images