Global Sea-Level Components Since 1900: Ensemble and Regional Data

5000 ensemble members quantify the uncertainty in global mean sea-level contributions from ice sheets, glaciers, and thermal expansion. This data supplement for a 2020 Nature paper provides global, basin-mean, and regional time series alongside spatial patterns of solid-Earth deformation. Researchers can analyze the barystatic and steric drivers of sea-level change at multiple scales from 1900 onward.

Use Cases

• Attributing regional sea-level changes to specific physical processes like glacier melt or thermal expansion.
• Validating and calibrating climate models using the 5000-member ensemble of global mean sea level.
• Assessing vertical land motion (VLM) impacts at specific tide-gauge stations listed in the regional metadata.
• Analyzing spatial patterns of relative sea level and solid-Earth deformation from individual ice mass contributions.
• Reconstructing historical basin-mean sea level time series for oceanographic studies.

Strengths

• Includes a large probabilistic ensemble of 5000 members for global mean sea level and its components, enabling robust uncertainty analysis.
• Synthesizes data from multiple authoritative sources, as documented in the associated Nature paper's materials and methods.
• Provides spatially resolved data on relative sea level and solid-Earth deformation for individual contributing processes.

Limitations

• Key metadata such as row count, file size, and specific column names are not provided in the available platform descriptions.
• The exact temporal coverage for all regional data is not explicitly stated, though the study focuses on the period since 1900.
• Relies heavily on previously published work, requiring users to consult and cite numerous original data sources.

Provenance

Source

Data supplement for the Nature paper 'The causes of sea-level rise since 1900' by Frederikse et al. (2020). Also available from NASA PO.DAAC.

Collection Method

Synthesis and probabilistic estimation from multiple observational and model-based data sources, as detailed in the paper.

Time Range

Since 1900

Freshness

2020

Geography

Global, with basin-mean and regional breakdowns.