Hyperspectral resolution laser radar field-of-view preferential method for water cloud inversion

Abstract

The invention discloses a hyperspectral resolution laser radar field-of-view preferential method for water cloud inversion. The method comprises the following steps: establishing a lookup table of a relationship between a water cloud scattering phase matrix and an effective radius; performing simulation to obtain atmospheric molecule Rayleigh scattering signals under different field angles; finely adjusting the water cloud parameters, and re-simulating to obtain a group of echo signals of different field angles; calculating the sensitivity of the echo signals to the water cloud parameters under different field angles according to the differences between the signals before and after fine tuning and the water cloud parameters; selecting two view field angle parameters of the echo signals with the highest sensitivity to the effective radius and the extinction coefficient of the water cloud as the optimal view field of the double-view-field high-spectral-resolution laser radar for water cloud inversion; carrying out water cloud signal observation by adopting the optimal view field setting, and carrying out iterative inversion on the signal to obtain an accurate water cloud parameter. According to the invention, the optimal view field angle parameter can be selected for the double-view-field hyperspectral-resolution laser radar used for water cloud inversion, and accurate inversion of water cloud is realized.

Description

technical field [0001] The invention belongs to the technical field of atmospheric cloud remote sensing laser radar, and in particular relates to a method for selecting a field of view of high spectral resolution laser radar for water cloud inversion. Background technique [0002] Clouds cover more than 50% of the sky on the earth's surface, and they play a vital role in various aspects of the earth's atmospheric water cycle, climate change, and earth radiation. The cloud-aerosol-radiation interaction is the main source of uncertainty in climate change. On the one hand, the atmospheric interaction itself is a relatively complex system, and on the other hand, there is a lack of effective monitoring data for clouds and aerosols. In low-latitude regions, the atmospheric temperature is higher, and there are fewer opportunities for ice and water to coexist in clouds, and water clouds are often formed. Most of the cumulus congestus and stratocumulus in summer in southern my count...

AI Technical Summary

Problems solved by technology

[0004] At present, there are two main types of water cloud inversion methods using lidar. One is the water cloud inversion based on polarized meter-scattering lidar, which uses the depolarization effect caused by multiple scattering of water clouds to construct a polarized meter-scattering lidar The lookup table between the detected water cloud echo signal and the effective radius and extinction coefficient of the water cloud, and based on the optimization inversion theory, the effective inversion of the effective radius and extinction coefficient of the water cloud is realized, but the inversion value has The other is the use of multi-field meter scattering or Raman scattering lidar for water cloud inversion, which mainly uses the change law of water cloud multiple scattering intensity with the field of view angle, but the former is due to The inhomogeneity of cloud particle backscattering is difficult to accurately retrieve, which is difficult to observe during the day

Therefore, there are certain problems in the current lidar water cloud inversion method, which limits the application of lidar to the accurate inversion of water cloud

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