Low-orbit detection hot layer atmosphere multi-factor separation and feature extraction method

Abstract

The invention provides a low-orbit detection hot layer atmosphere multi-factor separation and feature extraction method. The method comprises low-orbit atmosphere multi-source influence factor separation and disturbance atmosphere feature extraction in a magnetic storm process. The low-orbit atmospheric multi-source influence factor separation comprises the following steps: based on low-orbit detection atmospheric data and external geophysical condition data at the same moment, performing ascending and descending orbit separation on detection orbit data, and then recombining a detection data sequence according to a nearest neighbor condition; correcting the height of the atmosphere in the processed range based on the empirical mode; performing classification denoising processing on the recombined data based on a method of combining time sequence superposition median and error analysis; and, based on gridding atmospheric parameters of multi-condition classification processing, separating multi-source influence factors of high-level atmosphere, and extracting influence characteristics of local time, latitude, season, terrestrial magnetism and solar radiation on hot-layer atmosphere.The method is small in feature extraction error.

Description

technical field [0001] The invention belongs to the technical field of upper atmosphere analysis and forecasting, and in particular relates to a multi-factor separation and feature extraction method for low orbit detection thermosphere atmosphere. Background technique [0002] Changes in the upper atmosphere are affected by various geophysical conditions and are a common result driven by internal and external sources. External drivers are mainly solar radiation and geomagnetic disturbances. During a magnetic storm, the energy generated by the interaction between the solar wind and the magnetosphere enters the high-latitude ionosphere and thermosphere in the form of Joule heating and particle precipitation. Physical processes respond to geomagnetic disturbances, causing changes in the polar atmosphere's composition, temperature, and thermal expansion that alter atmospheric circulation. Because there are many factors affecting the change of atmospheric density during a storm...

AI Technical Summary

Problems solved by technology

Compared with the background parameters of atmospheric disturbances during magnetic storms, most of the existing technical processing is the atmospheric density / wind field on calm days calculated based on empirical models. Since the systematic deviation of the detection data itself is not considered, according to the background atmospheric The calculated perturbed atmospheric density / wind field also produces cumulative errors

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