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Data from: Multivariate calibration of the Agricultural Policy / Environmental eXtender model for field scale simulation of hydrologic and agronomic outcomes

Published by Agricultural Research Service | Department of Agriculture | Catalog Last Checked: May 05, 2026 at 11:41 PM | Dataset Last Updated: March 30, 2026
Results for "Multivariate calibration of the Agricultural Policy / Environmental eXtender model for field scale simulation of hydrologic and agronomic outcomes" (https://doi.org/10.1016/j.scitotenv.2026.181480) are available in this dataset. This study involved examining APEX model performance using combinations of surface runoff, crop yield, evapotranspiration, and soil moisture observations for calibration. The study took place on a 36 ha field in Centralia, Missouri, which serves as part of the Long-Term Agroecosystem Research Common Experiment (LTAR) in the Central Mississippi River Basin (CMRB). Findings from the study indicated evapotranspiration had the potential to serve as a "cross-benefit" variable that could improve runoff performance in the absence of runoff data. Additionally, difficulties were seen in optimizing model performance for crop yield and runoff simultaneously. Further information about the APEX model can be found at https://epicapex.tamu.edu/media/pkff4m34/the-apex1501-user-manual-november-2023.pdf. This dataset contains the following:Results for all 800 calibration runs for both year sets (Y1 and Y2).Results for preliminary testing conducted with various modifications to the model.The calibration program and instructions on how to use it.The observation data used for calibration, including surface runoff, crop yields, evapotranspiration, and soil moisture.Information about modifications to the APEX source code.

Resources

2 resources available

  • Geodata ISO 19139 metadata

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  • https://github.com/qpusda/Multivariate_Calibration_Project

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