Arctic Sea Ice and Snow Thickness Simulations from MOSAiC and CMIP6

Arctic sea ice and snow thickness data from the MOSAiC expedition and CMIP6 climate model simulations. The dataset, authored by Shreya Trivedi and last updated in April 2026, is a 512 KB PDF file containing methodological insights for evaluating model performance against localized, high-resolution in situ observations.

Use Cases

• Evaluating climate model performance based on comparisons of simulated and observed snow thickness cycles.
• Assessing sea ice thickness simulations using proxy-year methods based on sea ice area or the Arctic Oscillation index.
• Benchmarking model outputs against a Monte Carlo random-year method as described in the study.
• Analyzing the impact of atmospheric nudging on simulated seasonal cycles of Arctic snow and ice.

Strengths

• Data is derived from the high-resolution, year-long MOSAiC expedition measurements.
• Methodology compares multiple approaches including a 30-year climatology and proxy-year methods.
• Released under a CC-BY-4.0 license, permitting open sharing and adaptation.

Limitations

• Row count and column-level documentation are unknown.
• The primary data file is a 512 KB PDF, which may require extraction of underlying data.
• The MOSAiC observational dataset is described as short-term and localized.

Provenance

Source

Shreya Trivedi via figshare.

Collection Method

Analysis of MOSAiC expedition observations and CMIP6 climate model simulations.

Time Range

Covers the year-long MOSAiC expedition period and 30-year model climatologies.

Freshness

Last updated 2026-04-13 11:28:41.

Geography

Arctic region.