This invention relates to the field of parameter field
cascade reconstruction technology, and discloses a method for
cascade reconstruction of three-dimensional
water vapor parameter fields based on sparse GNSS
station network data. The method includes: 1. Collecting
observation data from m GNSS stations sparsely distributed within a target area; 2. Obtaining the slant path
water vapor content of all GNSS signals corresponding to each GNSS
station; 3. Establishing a
water vapor tomography equation set for each GNSS
station, using a single GNSS station as the basic unit; 4. Obtaining the local three-dimensional water vapor parameter field of each GNSS station; 5. Dividing the entire target area into spatial units with the same spatial resolution as the local three-dimensional water vapor parameter field of each station, and calculating the
spatial correlation coefficient between each spatial unit and the local three-dimensional water vapor parameter field of each station at each height level; 6. Constructing a
recursive model to obtain the three-dimensional water vapor parameter field of the target area. This invention achieves high-precision reconstruction of the three-dimensional water vapor parameter field of the target area under sparse GNSS station
network conditions, improving the inversion accuracy of three-dimensional water vapor parameter fields based on sparse GNSS station networks.