Method for identifying sand and dust cloud mixture

Abstract

A method for identifying a sand and dust cloud mixture comprises the following steps: measuring the particle size of a solid or liquid particle suspended in a gas medium of a corresponding cloud according to an aerosol measuring instrument, and measuring the mass concentrations of particles under different particle sizes; dividing the corresponding clouds into the following types according to the mass concentration of the particles: clear sky, non-sand dust, clouds/rain, sand dust and a sand dust cloud mixture; acquiring a laser radar parameter range and a cloud radar parameter range of a corresponding cloud in a preset area at the same time and in the same space; identifying clear sky, non-sand dust, cloud/rain, sand dust and sand dust cloud mixtures based on the particle mass concentration, the lidar parameter range and the cloud radar parameter range. According to the method, the sand-dust-cloud mixture is accurately identified by utilizing the cooperation of the standard backscattering coefficient of the laser radar, the depolarization ratio of the laser radar and the equivalent reflectivity of the cloud radar, so that the sand-dust is proved to participate in activation as an ice nucleus, and a technical support is provided for deeply researching the interaction between the cloud and the sand-dust and a sand-dust cloud rainfall mechanism.

Description

technical field [0001] The invention relates to the technical field of sand and dust clouds, in particular to a method for identifying a mixture of sand and dust clouds. Background technique [0002] Dust particles are one of the main components of tropospheric aerosols, which affect the climate system by scattering and absorbing short-wave solar radiation, and indirectly affect the climate system by affecting the formation and life cycle of tropospheric clouds, so the relationship between dust and clouds is very important. As an active atmospheric remote sensing detection technology, lidar uses the scattering characteristics of laser light by atmospheric aerosols and clouds to detect the optical properties, spatial vertical distribution and related information of atmospheric aerosols. Since the 1980s, domestic scholars began to use lidar data such as backscattering intensity, depolarization ratio, extinction coefficient, and dual-wavelength signal ratio to analyze aerosol ...

AI Technical Summary

Problems solved by technology

However, the existing technology can only identify dust or cloud alone. In fact, when dust affects the precipitation system, there will be a mixture of sand and dust clouds, and the mixture of sand and dust clouds is what we study the interaction between clouds and dust, or judge Dust is the most direct evidence that ice nuclei participate in the activation, but none of the existing technologies can identify the dust cloud mixture

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