New computational method fills gaps in satellite gravity measurements

Nature · Published 2 October 2026 Swipe more like this →

In short: Researchers have developed a new computational approach to reconstruct missing data from the GRACE and GRACE-FO satellite missions. By using Singular Spectrum Analysis, the team successfully inferred missing gravity measurements by identifying long-term and oscillatory patterns within the existing observations.

This method uses a non-parametric technique to produce spherical harmonic coefficients, effectively reducing ocean noise while maintaining land resolution. The researchers validated their results by comparing them against Swarm gravity solutions and water storage models, though the study focuses on a specific mathematical reconstruction technique.

Why it matters: This method provides a way to create more continuous and less noisy gravity datasets for Earth science.

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