Climate Model Data for North Atlantic Bias Impacts on the North Pacific

Rajat Joshi and R. Zhang from Princeton University published supporting data in 2023 for their study on North Atlantic biases. The data includes NetCDF files comparing a control climate simulation with a bias-corrected experiment using Robust Diagnostic Calculations. It contains differences in sea surface temperature, ocean currents, atmospheric variables, and statistical significance tests for winter conditions over the extratropical North Pacific.

Use Cases

• Analyzing the impact of corrected North Atlantic ocean circulation biases on upper troposphere/lower stratosphere conditions based on geopotential height and temperature differences.
• Studying wintertime atmospheric responses over the North Pacific based on differences in near-surface air temperature, winds, and precipitation.
• Evaluating the statistical significance of climate model experiment differences using the provided two-sided student t-test mask files.
• Investigating ocean temperature and current changes at specific depths (e.g., 120m, 2500m) in the North Atlantic between control and bias-corrected simulations.

Strengths

• Data is directly tied to a peer-reviewed publication in npj Climate and Atmospheric Science with a specific DOI (10.1038/s41612-023-00482-4).
• Includes specific comparisons between a present-day control simulation and a bias-corrected experiment using Robust Diagnostic Calculations.
• Contains statistical significance testing results (t-test masks) for key atmospheric variable differences.

Limitations

• Column-level documentation is absent; field semantics must be inferred from file descriptions or the original paper after download.
• Row count and total dataset size are unknown, which may limit suitability assessment for large-scale analysis.
• Last update date is unknown; freshness unverified.

Provenance

Source

Princeton University, associated with the paper by Joshi and Zhang (2023).

Collection Method

Generated from fully coupled high-resolution climate model simulations (control and bias-corrected RDC experiment).

Time Range

Likely represents long-term mean conditions, but specific simulation years are not stated.

Geography

Focuses on the North Atlantic and extratropical North Pacific regions.