PRIMAVERA_UOXF_Stochastic_Experiments: Climate Model Ensemble Data

Data from two climate model ensemble experiments conducted by the University of Oxford for the Horizon 2020 PRIMAVERA project. The dataset includes daily sea ice concentration and daily geopotential height at 500hPa from 1950 to 2015, regridded to a 2.5-degree grid. It was generated by Kristian Strømmen using the EC-Earth3P model, with one ensemble using a default setup and another incorporating stochastic schemes in sea ice and ocean components.

Use Cases

• Compare climate model outputs based on the presence or absence of stochastic schemes in sea ice and ocean components.
• Analyze Arctic-midlatitude teleconnections using daily sea ice concentration and geopotential height data.
• Validate and benchmark the PRIMAVERA configuration of the EC-Earth3P model against historical forcing from 1950-2015.

Strengths

• Data originates from a major Horizon 2020 project (PRIMAVERA) and a reputable institution (University of Oxford).
• Covers a 66-year time period (1950-2015) with daily temporal resolution.
• Includes two distinct ensemble experiments for comparative analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Oxford, Kristian Strømmen

Collection Method

Generated from climate model simulations using the EC-Earth3P model under the PRIMAVERA project's hist-1950 protocol.

Time Range

1950-2015

Geography

Global, regridded to a regular 2.5-degree grid