A cloud and rain microphysical parameter inversion method based on spaceborne triple-frequency millimeter-wave radar

Abstract

The invention discloses a cloud and rain microphysical parameter inversion method based on a space-borne three-frequency millimeter wave radar. The method comprises the following steps of firstly, calculating and analyzing cloud and rain particle temporal and spatial distribution characteristics and summarizing, using a generalized Gamma distribution function to characterize cloud raindrop particle distribution and carrying out parameterization; then, based on an idea of a Bayesian estimation theory, establishing an inversion model, presetting prior distribution of the parameters, inputting space-borne W, Ka and Ku three-frequency millimeter wave radar reflectivity factors into a physical model, inputting space-time matching ground-based millimeter-wave radar data as an adjustment factor,carrying out posterior, after iterative calculation, continuously correcting prior probability distribution to minimize the cost function and outputting an optimal inversion result; and finally, carrying out linear processing on an inversion result in each distance library to obtain the inversion result of an entire profile. In the invention, a space-time resolution is high, cost is low, the inversion result is fine and actual distribution of cloud and rain particles can be simultaneously inverted.

Description

technical field [0001] The invention belongs to the technical field of remote sensing, in particular to a cloud and rain microphysical parameter inversion method based on a spaceborne triple-frequency millimeter-wave radar. Background technique [0002] Accurate measurement of cloud and rain microphysical parameters is a necessary guarantee for accurate weather forecasting, a key decision-making aid for analyzing various weather phenomena, and also plays a vital role in artificial weather modification operations. The detection of cloud and rain is mainly divided into direct measurement and remote sensing detection. Among them, direct measurement methods include radiosondes and airborne experiments to measure cloud and raindrop spectra, etc.; remote sensing detection methods use remote sensing instruments such as radars, lidars, and radiometers in various bands. Among them, the implementation of airsondes and airborne experimental measurements requires large material and man...

AI Technical Summary

Problems solved by technology

At present, there is no method for inverting cloud and rain microphysical parameters for spaceborne W, Ka and Ku three-frequency millimeter-wave radars. Therefore, it is urgent to find a spaceborne W, Ka and Ku three-frequency millimeter-wave radar for inverting cloud and rain microphysical parameters. Methods

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