Method for applying comprehensive quality index to rainfall estimation by combining radar and automatic station

Abstract

The invention relates to a method for applying a comprehensive quality index to rainfall estimation by combining a radar and an automatic station, and the method comprises the following steps: obtaining a radar estimation rainfall-automatic station observation rainfall data pair and a plurality of radar data quality indexes in a target region, calculating a comprehensive quality index according to the plurality of radar data quality indexes, and calculating an average value of the comprehensive quality index; and correcting the radar estimation rainfall-automatic station observation rainfall data pair according to a first preset threshold value of the corresponding comprehensive quality index average value to obtain final rainfall estimation data. In the technical scheme of the invention, when the comprehensive quality index is applied to the process of jointly estimating rainfall by the radar and the automatic station, the rainfall estimation capability of the networking radar can be further improved.

Description

technical field [0001] The invention relates to the technical field of meteorological data processing, in particular to an application method of a comprehensive quality index in joint radar and automatic station estimation of precipitation. Background technique [0002] As a single-point observation data with high precision, automatic station rainfall data can help radar optimize the results of precipitation estimation. Automatic station rainfall data play two roles in precipitation estimation. One is to combine radar data optimization before calculating precipitation intensity. The precipitation estimation formula, and the other is used for spatial correction after the initial value field of the precipitation estimation product is formed. Since the Z-R relationship will change due to changes in the raindrop spectrum during the same precipitation process (Wu Yahao et al., 2016), so in real-time optimization of the Z-R relationship in conjunction with radar and automatic stat...

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Problems solved by technology

In the above studies, the method of optimizing the precipitation estimation formula in real time by combining the rainfall data of automatic stations is only applied to the Z-R relationship of single-polarization or dual-polarization radar. The formula has brought great difficulties. Although Zhang Yang (2019) tried to correct the precipitation estimation formula containing polarization radar parameters in real time to improve the accuracy of precipitation estimation, it did not impose specific restrictions on the data used to correct the formula. This makes it mixed with data that is not suitable for the correction formula. At the same time, the spatial correction method used in it (Zhang Yang, 2019) cannot effectively correct the precipitation in areas far from the radar. At present, there is no relevant technology to solve the above problems

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