GRACE Mass Change Time Series Reconstructed with Bayesian Framework, 2002-2020

Reconstruction of GRACE satellite mass change time series using a Bayesian framework. The data spans 206 months from April 2002 to August 2020, with measurements in centimeters. Rateb Ashraf published this reconstruction in 2021, hosted on the Texas Data Repository.

Use Cases

• Analyzing long-term trends in terrestrial water storage based on the monthly time series.
• Validating hydrological and climate models using the reconstructed GRACE mass change signal.
• Applying Bayesian statistical methods to fill gaps or reduce noise in satellite geophysical data.
• Studying the impacts of climate variability on regional mass changes over the 18-year period.

Strengths

• Covers a substantial 18-year and 4-month period from 04/2002 to 08/2020.
• Provides a processed reconstruction using a Bayesian framework, which may improve signal quality.
• Dataset is associated with a specific DOI (10.18738/T8/5MPOJU) and citation for provenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Texas Data Repository Harvested Dataverse

Collection Method

Reconstruction of GRACE (CSRrl06v02) satellite data using a Bayesian framework.

Time Range

04/2002 - 08/2020

Freshness

Last updated 2024-03 04:50:25; freshness should be verified.

Geography

Likely global, but specific coverage is not stated in the provided metadata.