Cloud base height inversion method and system based on multi-source satellite data

Abstract

The invention discloses a cloud base height inversion method and system based on multi-source satellite data, and belongs to the atmospheric exploration. The method specifically comprises the steps: selecting a cloud layer classification model and a cloud base height inversion model according to the actual longitude and latitude through employing a cosine similarity method; inputting the actual cloud physical characteristics into the cloud layer classification model to obtain actual cloud layer category characteristics; and inputting the actual cloud layer category characteristics and the actual cloud physical characteristics into the cloud base height inversion model to obtain an actual cloud base height; matching the historical cloud base height with the historical cloud physical characteristics; performing data calibration on the initial training set; taking the historical cloud physical characteristics as input, taking the historical cloud class characteristics as output, and training the cloud layer classification model in different regions; and training a cloud base height inversion model in different regions by taking the historical cloud layer category features and the historical cloud physical features as inputs and taking the historical cloud bottom height as an output. According to the method, the coverage range of cloud base height observation and prediction is expanded, and the precision of cloud base height inversion is also improved.

Description

technical field [0001] The invention belongs to the field of atmospheric sounding, and more specifically relates to a cloud base height inversion method and system based on multi-source satellite data. Background technique [0002] Clouds cover more than half of the earth's surface all the year round, and their three-dimensional structure has an important impact on the global radiation balance. In addition, aviation flight also needs to estimate the height of the cloud base, and many aircraft take off and land require clear field of view conditions, among which the height of the cloud top and the height of the cloud base are important influencing factors. [0003] Satellite remote sensing is an indispensable means to grasp the global and regional characteristics of cloud structure. Among them, satellite passive remote sensing is beneficial to grasp the horizontal distribution characteristics of clouds, and active remote sensing is beneficial to grasp the vertical distributio...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the defects of the prior art, the object of the present invention is to provide a cloud base height inversion method and system based on multi-source satellite data, aiming to solve the existing method of obtaining cloud base height, which is obtained through active remote sensing or physical model calculation Cloud base height, but cannot effectively extend the cloud base height of limited observation points to other areas, making it difficult to obtain cloud base height or the problem of insufficient accuracy

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