AgMIP GGCMI Phase II: Global Spring Wheat Model Simulations with Climate Scenarios

Global gridded output from pDSSAT spring wheat simulations as part of the AgMIP GGCMI Phase II project. The data includes crop yield, biomass, and phenology variables from 31-year simulations under varied CO2, temperature, water, and nitrogen conditions. Joshua Elliott from the University of Chicago contributed this archive.

Use Cases

• Projecting spring wheat yield changes based on simulated atmospheric CO2 levels.
• Analyzing crop phenology shifts using simulated planting, anthesis, and maturity days.
• Modeling irrigation water demand based on potential irrigation water withdrawal and evapotranspiration data.
• Assessing biomass production under different nitrogen input and water availability scenarios.

Strengths

• Simulations cover a structured experimental design with 4 CO2 levels, 7 temperature offsets, 8 water levels, and 3 nitrogen levels.
• Output includes 7 key agricultural variables, such as yield and phenology dates.
• Data is part of a major international model intercomparison project (AgMIP GGCMI).

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

AgMIP (Agricultural Model Intercomparison and Improvement Project) GGCMI Phase II, simulations by Joshua Elliott (University of Chicago).

Collection Method

Output from pDSSAT crop model simulations forced by the AgMERRA climate dataset.

Time Range

Based on 31-year simulations (specific years not stated).

Geography

Global gridded coverage.