GNSS polarized signal forward modeling method and system suitable for light rain magnitude

Abstract

The invention discloses a GNSS polarized signal forward modeling method and system suitable for light rain magnitude; the rainfall rate of light rain is less than or equal to 2.5 mm / h, and the method comprises the steps: obtaining rainfall information in a light rain area to be measured, wherein a GNSS polarization radio occultation event occurs in the light rain area, and the ray path of occultation passes through the rain area; respectively establishing a raindrop shape model and a raindrop spectrum distribution model; calculating the relative complex permittivity of raindrops; calculating the horizontal polarization forward scattering amplitude and the vertical polarization forward scattering amplitude of a single raindrop in combination with the raindrop shape model; calculating differential phase delay according to the raindrop spectrum distribution model and the horizontal polarization forward scattering amplitude and the vertical polarization forward scattering amplitude of the single raindrop; and integrating the total path length of the rays in the whole rain area according to the differential phase delay to obtain polarization phase shift after forward modeling.

Description

technical field [0001] The invention relates to the field of rainfall remote sensing detection research, in particular to a forward modeling method and system for GNSS polarization signals suitable for small rainfall rainfall events. Background technique [0002] Rainfall is one of the basic variables in the study of climate change, and it plays an important role in agricultural production, ecological environment and people's daily life. At present, there are various means of detecting rainfall in the world. There are space-based precipitation radar systems such as the tropical rainfall measurement mission TRMM with precipitation radar, the global precipitation measurement mission GPM with dual-frequency precipitation radar, and hyperspectral infrared detectors. , microwave detectors, ground-based precipitation radars, etc. However, none of these methods can directly or indirectly extract factors affecting water vapor or precipitation from observations, and are not suitable...

AI Technical Summary

Problems solved by technology

[0003] In order to make effective use of GNSS RO, a rich and reliable data source, and improve the accuracy of rainfall event forecasting, based on the fact that signals passing through large-sized non-spherical hydrometeors will cause polarization differential phase delays, such methods have not yet been developed in China. For meteorological operations, the theory and method of GNSS polarized radio occultation detection and rainfall quantification are still being explored, and the theory and method of retrieving precipitation have not yet matured

Images