Data from: Can a persistence-based prediction of GRACE gravity field coefficients reduce uncertainties at finer temporal scales?

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Authors: Dinuka Kankanige, Bramha Dutt Vishwakarma, Yi Liu, Ashish Sharma
Cited by: 1

Abstract

This dataset contains the raw and processed data used for the study 'Can a persistence-based prediction of GRACE gravity field coefficients reduce uncertainties at finer temporal scales?'. Raw data includes sets of sample data from the processing levels 1B and 2 of the Gravity Recovery and Climate Experiment (GRACE), where level 1B consists of the samples of satellite measurement products and level 2 consists of the geopotential coefficients. These data were used to investigate the impact of a persistence-based prediction approach in reducing the uncertainties of monthly and finer temporal scale gravity coefficients.

Publication details

Journal / source
DRYAD
Publication date
30 June 2026
Language
EN
Document type
Dataset