A direct inversion method of visibility function for atmospheric temperature and humidity profiles

Abstract

The invention discloses a direct inversion method of the visibility function of the atmospheric temperature and humidity profile, which includes inputting the actually observed visibility function into the trained BP neural network to obtain the inversion physical parameters of the atmospheric temperature and humidity profile; BP neural network The training of the network includes: using the numerical weather model to obtain the sample atmospheric physical parameters, using the synthetic aperture microwave radiometer model to carry out forward modeling of the sample atmospheric physical parameters, and obtaining the visibility function corresponding to the sample atmospheric physical parameters; using the sample atmospheric physical parameters and the sample atmospheric physical parameters The visibility function corresponding to the parameters trains the BP neural network to obtain a trained BP neural network. The present invention changes the two-step inversion method of visibility-brightness temperature-atmospheric physical parameters required by the current comprehensive aperture microwave radiometer remote sensing atmospheric physical parameters, and proposes a direct inversion method of visibility-atmospheric physical parameters, which simplifies the data processing flow and reduces the inversion In order 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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