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