Visibility function direct inversion method of atmospheric temperature and humidity profile

Abstract

The invention discloses a visibility function direct inversion method of an atmospheric temperature and humidity profile. The method comprises the following steps: inputting an actual observed visibility function into a trained BP neural network, so as to obtain an inversed atmospheric temperature and humidity profile physical parameter, wherein the training of the BP neural network comprises: using a numerical weather mode to obtain a sample atmospheric physical parameter, and using an aperture synthesis microwave radiometer model to carry out forward modeling on the sample atmospheric physical parameter to obtain a visibility function corresponding to the sample atmospheric physical parameter; and using the sample atmospheric physical parameter and the visibility function corresponding to the sample atmospheric physical parameter to train the BP neural network, so as to obtain the trained BP neural network. The invention changes a two-step inversion method of visibility-brightness temperature-atmospheric physical parameters required for remote sensing atmospheric physical parameters of a current aperture synthesis microwave radiometer, and proposes a direct inversion method of visibility-atmospheric physical parameters, which simplifies the data processing flow and reduces inversion errors, so as to obtain more accurate atmospheric physical parameters.

Description

technical field [0001] The invention belongs to the technical field of atmospheric microwave remote sensing and detection, and more specifically relates to a direct inversion method of a visibility function of an atmospheric temperature and humidity profile. Background technique [0002] Atmospheric parameters such as temperature and humidity profiles, water vapor density, and pressure are important parameters in the fields of climate monitoring and weather forecasting. In addition, these atmospheric parameters also play an important role in fields such as artificial weather modification, flood control command and decision-making. [0003] In the current climate and weather research, spaceborne remote sensing observation has become an important means of obtaining atmospheric parameter information because of its advantages of high economic benefits, wide detection area coverage, high horizontal resolution, continuous observation and global intensive observation. Because micr...

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Problems solved by technology

[0006] In view of the above defects or improvement needs of the prior art, the present invention provides a direct inversion method of the visibility function of the atmospheric temperature and humidity profile, thereby solving the problem that the synthetic aperture microwave radiometer in the prior art needs to go through two steps to obtain the atmospheric physical parameters The inversion process leads to the amplification of input data errors and introduces technical problems of additional inversion errors

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