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

A microwave link and polarization information technology, applied in neural learning methods, rainfall/precipitation gauges, biological neural network models, etc., can solve problems such as poor spatial representation and difficulty in finding analytical solutions for nonlinear integral equations, and achieve Accurate identification, avoiding the raindrop spectrum inversion process, and reducing the effect of error and uncertainty

Active Publication Date: 2019-04-05
NAT UNIV OF DEFENSE TECH
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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

Method used

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

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings.

[0028] figure 1 It is the working flow chart of the rainfall type identification method based on the microwave link attenuation and polarization information in the present invention; the present invention uses the rain-induced attenuation characteristic quantity of the dual-frequency or multi-frequency microwave link as the input feature, and establishes the rainfall classification algorithm through the machine learning classification algorithm. The classification model mainly includes the following steps:

[0029] 1. Using multi-frequency microwave links to obtain differential attenuation characteristic quantities

[0030] (1) Select dual-polarized microwave links with three frequencies of 35GHz, 28GHz and 8GHz, as shown in Table 1.

[0031] Table 1

[0032]

[0033] (2) Measure the transmit power P corresponding to the above six links t，α，f and received power ...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01W1/14G06N3/04G06N3/08
CPCG06N3/08G01W1/14G06N3/047
Inventor 刘西川蒲康贺彬晟宋堃咸明皓刘磊
Owner NAT UNIV OF DEFENSE TECH
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