GGCMI Phase II: Global Gridded Rice Crop Model Simulations with Climate Scenarios

Global simulation outputs for rice from the pDSSAT model as part of the AgMIP GGCMI Phase II project. The data includes crop yield, biomass, and phenology metrics 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 rice yield changes based on simulated atmospheric CO2 mixing ratios.
• Analyzing crop phenology shifts based on simulated planting, anthesis, and maturity days.
• Modeling irrigation water demand based on potential irrigation water withdrawal and actual evapotranspiration variables.
• Assessing adaptation strategies by comparing simulations with and without the 'regain original growing season' assumption.

Strengths

• Simulations cover a wide parameter space with 4 CO2 levels, 6 temperature offsets, 8 water levels, and 3 nitrogen inputs.
• Output includes 7 key agricultural variables such as yield, biomass, and phenology dates.
• Based on 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

AgMIP (Agricultural Model Intercomparison and Improvement Project) GGCMI Phase II

Collection Method

Output from pDSSAT crop model simulations.

Time Range

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

Geography

Global gridded coverage.