Atmospheric temperature and humidity profile processing method and system with active and passive remote sensing combined

Abstract

The invention provides an atmospheric temperature and humidity profile processing method and system with active and passive remote sensing combined. The system relates to the following steps that atmospheric microwave radiation brightness temperature data are detected and acquired through a microwave radiometer, cloud vertical structure data are detected and acquired through a cloud radar, and ground surface air temperature, humidity and air pressure data of a detecting area are detected and acquired through a ground surface meteorological element sensor; a data processor builds a three-layer feedforward BP neural network model for processing and training, and the BP neural network model with parameters optimized is obtained; the detected atmospheric microwave radiation brightness temperature data, the detected cloud vertical structure data and the detected ground surface air temperature, humidity and air pressure data are input into the BP neural network model by the data processor to serve as input layers, and the atmospheric temperature and humidity profile is obtained through processing and output of a BP neural network. Due to the atmospheric temperature and humidity profile processing method and system with active and passive remote sensing combined, the error for processing the atmospheric temperature and humidity profile in cloud weather is effectively reduced, and the accuracy and the effectiveness of the atmospheric profile are improved.

Description

Technical field [0001] The invention relates to the technical field of atmospheric profile measurement, in particular to a method and system for processing an atmospheric temperature and humidity profile combining active and passive remote sensing. Background technique [0002] In the detection of atmospheric cloud physical parameters, the microwave radiometer is generally used to continuously detect the atmospheric temperature and humidity profile. When the weather is clear and cloudless, the detection accuracy of this method is good. However, when there is cloud cover, due to cloud cover The distribution of the microwave absorption coefficient is uncertain. Therefore, the atmospheric temperature and humidity error detected by this method increases or even fails. [0003] The transmission equation of microwave radiation in the earth’s atmosphere can be written as: [0004] [0005] In the above formula, Is the microwave absorption coefficient, when there is no rain, ,among them, ...

AI Technical Summary

Problems solved by technology

However, due to the influence of factors such as the atmosphere, aerosol, and cloud structure, the infrared sensor has a large error in processing the height of the cloud base, resulting in a large error in the detected atmospheric temperature and humidity, which affects the accuracy of the detection results.

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