Three-dimensional atmospheric stratification method and system for low-altitude airborne Beidou observation
By employing a three-dimensional atmospheric tomography method based on low-altitude airborne BeiDou observations, and utilizing dynamic adaptive tomography boundary optimization and adaptive algebraic reconstruction algorithms, the problem of traditional methods being unable to adapt to highly dynamic aircraft carriers has been solved, thereby enhancing the ability to monitor water vapor and issue early warnings for extreme weather with high spatiotemporal resolution.
Patent Information
- Application Number
- CN202610258412.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-04
- Publication Date
- 2026-06-12
AI Technical Summary
Existing three-dimensional atmospheric tomography methods mainly rely on fixed site locations and fixed tomographic boundaries, which makes it difficult to adapt to highly dynamic aircraft carriers. This results in low horizontal and vertical resolution, failing to meet the demand for high spatiotemporal resolution water vapor information acquisition.
A three-dimensional atmospheric tomography method based on low-altitude airborne BeiDou observations is proposed. By acquiring dynamic airborne BeiDou observation data, processing the data using pre-set GNSS processing software, and combining dynamic adaptive tomography boundary optimization algorithm and adaptive algebraic reconstruction algorithm, a BeiDou atmospheric tomography observation equation is constructed. Gaussian filtering is then used for smoothing to achieve high spatiotemporal resolution three-dimensional atmospheric tomography.
It enables high spatiotemporal resolution monitoring of water vapor distribution and vertical variation, captures local water vapor anomalies, improves numerical weather models, expands the operational value of water vapor meteorology, and enhances the ability to issue early warnings for extreme weather.