AgMIP GGCMI Phase II: EPIC-TAMU Soybean Yield and Growth Simulations

EPIC-TAMU model outputs for soybean include yield, biomass, and growing season metrics. Simulations span 31 years and systematically vary atmospheric CO2, temperature, water, and nitrogen inputs under different adaptation assumptions. This archive is part of the AgMIP Global Gridded Crop Model Intercomparison Phase II project.

Use Cases

• Predicting soybean yield impacts based on varied CO2 concentrations and temperature offsets.
• Analyzing crop water use efficiency based on actual growing season evapotranspiration data.
• Studying the effects of nitrogen input levels and adaptation strategies on crop maturity dates.
• Benchmarking gridded crop model performance against other models in the GGCMI intercomparison.

Strengths

• Simulations cover a systematic matrix of 4 CO2 levels, 7 temperature offsets, 8 water conditions, and 3 nitrogen levels.
• Output includes five key agricultural variables: crop yield, above-ground biomass, planting day, maturity day, and evapotranspiration.
• Data is generated from a 31-year simulation period using the AgMERRA climate dataset.

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

Ashwan Reddy, University of Maryland, College Park, via the paperswithcode platform.

Collection Method

Output from simulations with the EPIC-TAMU crop model.

Time Range

Simulations cover a 31-year period, though specific years are not stated.

Geography

Global gridded coverage is implied by the GGCMI project name.