AgMIP GGCMI Phase II: Global Gridded Maize Simulations Under Climate Scenarios

EPIC-TAMU model outputs for maize include yield, biomass, and growing season metrics. Simulations cover 31 years and systematically vary atmospheric CO2, temperature, water, and nitrogen inputs. Ashwan Reddy from the University of Maryland, College Park contributed this data as part of the AgMIP GGCMI Phase II intercomparison.

Use Cases

• Predict maize yield under different climate scenarios based on simulated CO2, temperature, water, and nitrogen levels.
• Analyze the impact of adaptation strategies on growing season length based on planting and maturity day variables.
• Model crop water use efficiency based on actual growing season evapotranspiration data.
• Compare above-ground biomass production across different nitrogen input and irrigation scenarios.

Strengths

• Outputs are derived from 31-year simulations using the AgMERRA climate dataset.
• Systematically tests 4 CO2 levels, 6 temperature offsets, 8 water conditions, and 3 nitrogen levels.
• Includes key agricultural variables: crop yield, above-ground biomass, planting day, maturity day, and evapotranspiration.

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 Maryland, College Park

Collection Method

Simulations with the EPIC-TAMU crop model as part of the AgMIP GGCMI Phase II project.

Time Range

31-year simulation period (specific years not stated).

Geography

Global gridded coverage.