by Ashwan Reddy / University of Maryland, College Park
Available on 1 platform
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Description
Output data from EPIC-TAMU model simulations for winter wheat as part of the AgMIP Global Gridded Crop Model Intercomparison. The dataset includes variables such as crop yield, biomass, planting day, and evapotranspiration. Simulations were conducted by Ashwan Reddy at the University of Maryland, College Park, using the AgMERRA climate data over 31 years with varied CO2, temperature, water, and nitrogen inputs.
Use Cases
Predicting winter wheat yield based on simulated climate and management scenarios.
Analyzing crop biomass response to varying atmospheric CO2 levels.
Modeling the impact of temperature offsets on planting and maturity days.
Assessing water use efficiency through actual growing season evapotranspiration data.
Comparing crop performance under different nitrogen input and irrigation assumptions.
Strengths
Simulations are based on a 31-year climate dataset (AgMERRA).
Includes outputs for multiple key agricultural variables: yield, biomass, planting day, maturity day, and evapotranspiration.
Explores a wide parameter space with 4 CO2 levels, 6 temperature offsets, 8 water levels, and 3 nitrogen inputs.
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 paperswithcode.
Collection Method
Output from EPIC-TAMU crop model simulations.
Time Range
Based on 31-year AgMERRA climate data simulations.
Freshness
Last updated date is unknown.
Geography
Global gridded coverage.
License is listed as Open Access (green); specific terms should be verified.