Precipitation pattern identification method based on information of attenuation and polarization of microwave links

Abstract

The invention proposes a precipitation pattern identification method based on the information of attenuation and polarization of microwave links. The method comprises the steps of: selecting the information of attenuation and polarization of the dual-frequency or multi-frequency microwave links to extract differential attenuation feature quantities; training the relationship between the differential attenuation feature quantities and different precipitation patterns to establish a training set; and establishing an identification model of precipitation patterns based on a machine learning algorithm to achieve automatic identification of precipitation patterns. The precipitation pattern identification method based on the information of attenuation and polarization of the microwave links fully utilizes the microphysical information of the abundant rainfall particles contained in the rain attenuation of the multi-frequency microwave links, not only improves the accuracy of the precipitation pattern identification, but also avoids the complex inversion process of the raindrop spectrum distribution, thereby reducing the source of error and has high operability. The monitoring and identification effects of regional rainfall types are further improved by using the precipitation pattern identification method in conjunction with weather radars, raindrop spectrometers and the like.

Description

technical field [0001] The invention relates to the field of ground meteorological detection, in particular to a method for identifying rainfall types based on microwave link attenuation and polarization information. Background technique [0002] Rainfall is a very important weather phenomenon in the atmosphere, which has an important impact on production and life, transportation, and military activities. Different rainfall types reflect the phase, shape, and scale distribution of rainfall particles, involving processes such as soil erosion, atmospheric particle deposition, and the interaction between rainfall and electromagnetic waves. Since different types of rainfall have different formation mechanisms and their microphysical characteristics are quite different, it is of great significance to distinguish rainfall types. At present, the identification of rainfall type is mainly based on the change law of rainfall intensity, weather radar volume scan data, dual polarizatio...

AI Technical Summary

Problems solved by technology

Using dual (multi) frequency or dual polarization microwave links to invert raindrop spectral parameters can overcome the problem of poor spatial representation, but it often needs to be based on certain empirical assumptions, and there is a problem that it is difficult to find analytical solutions for nonlinear integral equations

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