by Ashwan Reddy / University of Maryland, College Park
Available on 1 platform
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Description
AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II CTWN-A archive contains priority 1 outputs from EPIC-TAMU rice simulations. The dataset includes variables such as crop yield, above-ground biomass, planting day, maturity day, and actual growing season evapotranspiration. Simulations were conducted by Ashwan Reddy of the University of Maryland, College Park, using 31-year AgMERRA climate data with systematic variations in CO2, temperature, water, and nitrogen levels.
Use Cases
Predicting rice yield based on simulated climate variables like temperature and CO2 offsets.
Analyzing crop growth patterns using output variables such as planting day and maturity day.
Modeling water use efficiency in rice cultivation based on actual growing season evapotranspiration data.
Assessing the impact of nitrogen input levels on above-ground biomass production.
Strengths
Simulations are based on a 31-year climate data set (AgMERRA).
Systematically tests 4 CO2 levels, 6 temperature offsets, 8 water conditions, and 3 nitrogen levels.
Includes key agricultural output variables like yield, biomass, and phenology dates.
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 / AgMIP GGCMI project
Collection Method
Output from simulations with the EPIC-TAMU crop model.
Time Range
Based on 31-year simulations (specific years not stated).
Freshness
null
Geography
Global gridded coverage.
License is Open Access (green); specific terms should be verified.