A 3D Water Vapor Detection Method Based on Function Basis

Abstract

The invention discloses a three-dimensional steam detection method based on a function base, and the method comprises the steps: 1, receiving and resolving observation data; 2, resolving the parameters of atmospheric troposphere; 3, calculating the SWV (slant water vapor) content of a satellite signal; 4, building a function base observation equation; 5, constructing a prior constraint equation; 6, building a three-dimensional steam chromatography model based on the function base; 7, determining the weight ratio of all parameters in the three-dimensional steam chromatography model; 8, resolving to-be-estimated parameters of the three-dimensional steam chromatography model based on the function base, and displaying a result. The method takes the function base observation equation as the basis, and a new function base chromatography model is built. Through the introduction of the function base observation equation, the method guarantees the space continuity of to-be-estimated vapor density parameters, reduces the number of to-be-estimated parameters, improves the stability of the chromatography model structure, and guarantees the precision and reliability of a reconstructed vapor result.

Description

technical field [0001] The invention belongs to the technical field of meteorological water vapor detection, and in particular relates to a three-dimensional water vapor detection method based on a function base. Background technique [0002] The water vapor detection technology of the global positioning system has become one of the main technologies for obtaining three-dimensional water vapor information in the atmosphere. The traditional GPS tomography technology adopts the pixel-based water vapor tomography method, which divides the research area into several grids in the three-dimensional direction, and assumes that the water vapor density information in each grid is a constant within a given time range. Observation equations are then developed using satellite signals passing through the study area. Due to the certainty of the geometric position of the receiver in the study area and the influence of the geometric structure of the satellite constellation, on the bottom o...

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Problems solved by technology

The above pixel-based 3D water vapor reconstruction method has certain defects, such as when the study area is forcibly divided into several 3D grids, the continuity of water vapor distribution in space and time is destroyed; the introduction of horizontal constraints and vertical When using information such as constraints, the information introduced may not be very accurate for the constraints between grids, which will lead to low quality of 3D water vapor reconstruction results, and even deviate from its true value; in addition, even if prior information such as horizontal and vertical constraints is added, It also does not solve the rank deficiency problem of the tomographic method in the inversion process well

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