Study on Relationship Between Reflecting Characteristic of Polar Mesosphere Summer Echoes with Frequency
Tong Xu
Abstract
Tong Xu
Abstract
Polar Mesosphere Summer Echoes(PMSE) is a kind of strong radar echoes from altitudes close to the summer mesopause where there is a large amount of charge dust particles with obviously layered structure.In the paper the theory of wave propagation in layered media is used to study the radar signal to noise ratio SNR at 53.5 MHz,225 MHz,and 931 MHz.The results show that the profile of SNR at 53.5 MHz almost agrees with the results observed.With the intensity of the radar echoes reflected by layered structure decreasing greatly with the increasing frequency,the radar echoes become very weak.So,the method of layered media may be one of the important tools to study the generation mechanism of Polar Mesosphere Summer Echoes(PMSE).
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Polar Mesosphere Summer Echoes(PMSE) is a kind of strong radar echoes from altitudes close to the summer mesopause where there is a large amount of charge dust particles with obviously layered structure.In the paper the theory of wave propagation in layered media is used to study the radar signal to noise ratio SNR at 53.5 MHz,225 MHz,and 931 MHz.The results show that the profile of SNR at 53.5 MHz almost agrees with the results observed.With the intensity of the radar echoes reflected by layered structure decreasing greatly with the increasing frequency,the radar echoes become very weak.So,the method of layered media may be one of the important tools to study the generation mechanism of Polar Mesosphere Summer Echoes(PMSE).
Key concepts: Mesosphere, Mesopause, Polar, Radar, Atmospheric sciences, Noise (video), Remote sensing, Geology