IGG iii anti-difference estimation-based polar surface elevation change estimation method and system

By using the robust estimation method based on IGGⅢ, satellite altimetry data is preprocessed and least squares calculations of the elevation change function model are performed to remove outliers. This solves the problems of low data utilization and large errors in the estimation of surface elevation changes in polar regions, and improves the reliability and accuracy of elevation change results.

CN116697978BActive Publication Date: 2026-09-04WUHAN UNIV
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Patent Information

Application Number
CN202310620337.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-05-30
Publication Date
2026-09-04
Estimated Expiration
2043-05-30

AI Technical Summary

Technical Problem

Existing satellite altimetry methods suffer from low data utilization, large errors, and high uncertainty in estimating surface elevation changes in polar regions. This is especially true in the low latitudes of Antarctica where orbits are not densely packed, where traditional methods are sensitive to elevation anomalies, leading to significant uncertainty in the results.

Method used

An IGGⅢ robust estimation method was adopted. By preprocessing satellite altimetry data, applying IGGⅢ weighting functions, and performing least squares calculations on the elevation change function model, outliers were removed, and inverse distance weighted interpolation and Kriging interpolation were performed to reduce uncertainty and improve the reliability of ice shelf surface elevation changes.

Benefits of technology

It effectively reduces the uncertainty caused by outliers, improves the reliability and accuracy of ice shelf surface elevation change results, simplifies the operation process, and enhances practicality.

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Abstract

The application provides a polar surface elevation change estimation method and system based on IGG III anti-difference estimation, satellite altimetry data extraction; satellite altimetry data processing, including extracting qualified data points, performing geophysical correction, performing along-track median filtering based on a sliding window; separating the data into ascending and descending orbits and storing according to the orbit number; performing elevation change calculation based on IGG III weight function, including extracting the point with the largest number of points in the orbit as a reference orbit, interpolating the points on other repeat orbits to the points with consistent latitude of the reference orbit through inverse distance weighting; assuming that the elevation value is linearly related to the distance under the condition that a group of repeat orbit points are at the same latitude, performing least squares based on an elevation change function model, introducing the standard deviation of the least squares as a priori accuracy into the IGG III weight function for calculation, and iteratively obtaining elevation change scattered points; performing Kriging interpolation method to generate an elevation change result and output.
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