Prediction method for national tropospheric refractive index profile

Abstract

The invention relates to a prediction method for the national tropospheric refractive index profile. The established national tropospheric refractive index profile prediction database includes the following two aspects: first, the longitude and latitude information of each grid after the national atmospheric environment is gridded according to certain longitude and latitude intervals; the other isthe relationship coefficient between the atmospheric section profile model coefficients G, C1 and the surface refractive index N0 of each month in each grid. The main steps of establishing the national tropospheric refractive index profile prediction database are listed as follows: analyzing the characteristics of the national atmospheric refractive index variation, dividing the geographic grid,processing the basic sounding data, calculating the atmospheric section model parameters, processing the outliers, sorting out the valid data, interpolating the radial basis function, data statisticsand establishing the database. The refraction error correction precision can be improved from the source, and the real-time variation of the refractive index in different regions of the country can beobtained conveniently and quickly.

Description

technical field [0001] The invention belongs to the technical field of atmospheric refraction error correction, and in particular relates to a method for predicting the national troposphere atmospheric refractivity profile. Background technique [0002] The transmission of information in the radio system is mainly realized by electromagnetic waves, and the electromagnetic waves will be affected by the atmospheric environment during the transmission process to produce refraction errors, and now the atmospheric refraction error is the main source of error in radar detection, which affects the accuracy of radar measurement. bottleneck of development. In order to further improve the accuracy of radar equipment, it is urgent to correct the errors caused by the uneven atmosphere. [0003] Since the atmosphere is layered in the actual space environment, the propagation rays of electromagnetic waves will be bent to different degrees when propagating. According to Snell's law, the a...

AI Technical Summary

Problems solved by technology

In these commonly used forecasting models, the coefficients of each model are usually obtained by two methods, one is obtained by statistics of the atmosphere in our country, and this method is not accurate for a certain area; the other is for a specific area. Obtained from data statistics, this method has high precision for this area, but has a large error for the national area

In addition, the model coefficients obtained by these methods are fixed values ​​and cannot reflect the instantaneous changes of the atmosphere

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