Supporting Data for Sea Surface Warming Patterns and Hydrological Sensitivity

Supporting data for a Nature Climate Change paper by Shipeng Zhang from the University of Oxford. The dataset includes integrated fields from CAM5 patch experiments and post-processed data from CMIP5 and CMIP6 models. It also contains Python code for reproducing the manuscript's figures.

Use Cases

• Analyzing hydrological sensitivity uncertainties based on sea surface warming patterns.
• Comparing climate model outputs from CMIP5 and CMIP6 experiments.
• Reproducing published scientific figures using the provided Python code.
• Investigating the impact of patch experiments from the CAM5 model.

Strengths

• Data supports a peer-reviewed publication in Nature Climate Change.
• Includes data from major climate model intercomparison projects (CMIP5 and CMIP6).
• Provides analysis code for figure generation, supporting 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

University of Oxford

Collection Method

Integrated from CAM5 patch experiments and post-processed from CMIP5/CMIP6 models.