Atmospheric temperature and humidity profile inversion method based on a ground multichannel microwave radiometer

Abstract

The invention discloses an atmospheric temperature and humidity profile inversion method based on a ground multichannel microwave radiometer, and belongs to the technical field of meteorological detection. The method uses a 22-channel microwave radiometer and comprises steps of first obtaining microwave radiometer data; calculating the simulated brightness temperature data corresponding to the historical sounding profile data by using a radiation transmission model, and accordingly training an established BP neural network for inverting the atmospheric temperature and humidity profile; and inverting the atmospheric temperature and humidity profile by using the trained BP neural network. The BP neural network provided by the invention is simple in model, easy to understand, and capable of inverting the atmospheric temperature, the relative humidity and the vapor density profile at sufficient precision, and is simpler and more universal than other inversion algorithms; The method classifies two different weather conditions, and trains respective networks for different weathers, thereby improving inversion accuracy and meeting the needs of practical problems.

Description

technical field [0001] The invention belongs to the technical field of meteorological detection, and in particular relates to an atmospheric temperature and humidity profile inversion method based on a ground-based multi-channel microwave radiometer. Background technique [0002] Atmospheric temperature and humidity profile, that is, the relationship curve between atmospheric temperature, relative humidity, water vapor density (absolute humidity) and other information and altitude, is an important parameter of the atmospheric environment. Microwave radiometer has the advantages of portability, unattended continuous work, high resolution, reliable calibration method, simple operation, etc., and is gradually becoming an important instrument for remote sensing of atmospheric information. The multi-channel microwave radiometer can measure the radiation intensity of the atmosphere at each channel frequency, obtain the brightness temperature value of each channel, and then use its...

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Problems solved by technology

However, sometimes in regression analysis, which factor to choose and what expression to use for the factor is just a guess, which affects the diversity of factors and the unmeasurability of some factors, making regression analysis in some cases restricted

The physical inversion method is to directly solve the radiative transfer equation based on the brightness temperature measurement value of the microwave radiometer. method (Chahine, 1972), etc., but these iterative algorithms ignore the internal relationship of the atmospheric temperature field, and due to multiple iterations, they will pay a large cost in computing time

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