CESM2 Climate Model Ensemble Data for Irreversible Sea Level Rise Study

10 ensemble members of climate model output from the CESM2 model, simulating a negative CO2 emissions scenario from 2000 to 2400. The data, authored by Sunhee Wang and published on figshare in 2026, includes atmospheric, land, ice, and ocean components at a nominal horizontal resolution of ~1°x1°. The experiment linearly increases CO2 to 725 ppm by 2107 before reducing it back to 383 ppm by 2197.

Use Cases

• Analyze low cloud feedback mechanisms based on the Community Atmospheric Model (CAM6) outputs.
• Model irreversible sea level rise based on ocean (POP2) and ice (CICE5) component data.
• Study the long-term climate response to negative CO2 emissions based on the described idealized experiment.
• Validate ensemble climate predictions based on the 10-member ensemble with varied initial conditions.

Strengths

• 10 ensemble members provide a measure of internal variability.
• 52.0 MB size indicates a manageable download for analysis.
• Model integrates multiple Earth system components (atmosphere, land, ice, ocean).
• Simulation spans a 400-year period from 2000 to 2400.

Limitations

• Row count and specific column-level documentation are absent.
• Data is from an idealized model experiment, not direct observations.
• The 1°x1° nominal resolution may be coarse for regional-scale analysis.

Provenance

Source

figshare, authored by Sunhee Wang.

Collection Method

Generated by the CESM2 (Community Earth System Model version 2) climate model.

Time Range

2000 to 2400.

Freshness

Last updated 2026-04-19 06:46:24.

Geography

Global coverage.