Replication Data for: STPC_Lite Software for Robust Regional Signal Extraction and Noise Quantification in GRACE/GRACE-FO Satellite Gravimetry Applications

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Authors: Zhongtian Ma, Róbert Tenzer
Cited by: 0

Abstract

This data presents the consistent GRACE/GRACE-FO terrestrial water storage (TWS) changes in the Mekong River basin solved by Spatio-Temporal Principal Component (STPC) filters at different significance levels from 2003 to 2024. The TWS data is at different significance levels (i.e., 5%, 10% and 30%). This ensemble data used Release 06 (RL06) Spherical harmonic coefficients data from CSR, GFZ, JPL and ITSG and extract their common features through Multichannel Singular Spectrum Analysis (MSSA). The leakage effect was damped by Slepian conversion, while the data gap within and between GRACE and GRACE-FO was filled by an iterative MSSA. Area-weighted and gridded results for each step (i.e., Slepian procedure, MSSA procedure and STPC procedure) are separately provided. The noise time series of GRACE/GRACE-FO measurement specific to the Mekong River basin can be obtained by subtracting the final STPC procedure results from the MSSA procedure results. The overall mass variation (in Gt) is also provided. For details of this data, please refer to our paper (submitted): STPC_Lite Software for Robust Regional Signal Extraction and Noise Quantification in GRACE/GRACE-FO Satellite Gravimetry Applications. To replicate this method to other regions, please refer to our code: https://github.com/KMartin0013/STPC_Lite.git

Fields of Study & Subjects

Geophysics and Gravity Measurements Soil Moisture and Remote Sensing Statistical and numerical algorithms

Publication details

Journal / source
Harvard Dataverse
Publication date
24 February 2026
Language
EN
Document type
Dataset