Ice-sheet and Sea-level System Model v4.19 Uncertainty Quantification Data

Data archives from test experiments and a Pine Island Glacier application support the manuscript 'A new sampling capability for uncertainty quantification in the Ice-sheet and Sea-Level System Model v4.19 using Gaussian Markov random fields'. The source code is available via a Zenodo DOI. Author Kevin Bulthuis is affiliated with the Jet Propulsion Laboratory.

Use Cases

• Benchmarking uncertainty quantification methods based on the described test experiments.
• Applying Gaussian Markov random field sampling techniques to ice-sheet models.
• Validating sea-level rise projections based on the Pine Island Glacier case study.
• Reproducing the results from the associated scientific manuscript.

Strengths

• Data is directly linked to a peer-reviewed scientific manuscript, providing context.
• Associated source code is available via a persistent Zenodo DOI for reproducibility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Jet Propulsion Laboratory

Collection Method

Generated from simulations using the Ice-sheet and Sea-level System Model v4.19.

Geography

Includes a specific application to Pine Island Glacier.