AgMIP GGCMI Phase II: Global Maize Crop Model Outputs Under Climate Scenarios

31-year simulation outputs from the pDSSAT maize model for the AgMIP Global Gridded Crop Model Intercomparison. The data includes crop yield, biomass, and phenology variables under varied CO2, temperature, water, and nitrogen conditions. Joshua Elliott from the University of Chicago contributed this archive as part of the GGCMI Phase II project.

Use Cases

• Projecting maize yield changes based on simulated temperature offsets and CO2 levels.
• Analyzing crop phenology shifts based on simulated planting, anthesis, and maturity days.
• Modeling irrigation water demand based on potential irrigation water withdrawal and evapotranspiration data.
• Assessing crop adaptation strategies based on the two assumptions (none vs. regain original growing season) included in the simulations.

Strengths

• Simulations cover 31 years using the AgMERRA climate dataset.
• Outputs are generated from a systematic factorial design with 4 CO2 levels, 7 temperature offsets, 8 water levels, and 3 nitrogen inputs.
• Includes key agricultural output variables: yield, biomass, phenology dates, and water metrics.

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.

Time Range

Simulations cover a 31-year period (specific years not stated).

Geography

Global gridded coverage.