Calibrating the APEX Model for Simulations of Environmental and Agronomic Outcomes on Dairy Farms in the Northeast U.S.: A Step-by-Step Example Academic Article uri icon

abstract

  • HighlightsThis article details the method used to calibrate the APEX model for simulations of dairy farm silage corn production.Useful model outputs, plots, and metrics are discussed, as well as decision points and potential improvements.The article is intended as a helpful starting point for those who are new to APEX.Abstract. This article documents the procedure used to calibrate the Agricultural Policy/Environmental eXtender (APEX) model for a project that aimed to simulate crop yields, runoff, erosion, and nutrient losses on dairy farms under climate change. We describe each step in the calibration process, presenting the model outputs, plots, and metrics that were found to be useful, and discussing the decisions that needed to be made along the way. Calibration improved the performance of the model relative to an uncalibrated “baseline” version, and 0.22 > NSE > 0.49 and PBIAS within ±12% were achieved for most of the model outputs. While the mean annual silage yield was correct (PBIAS = 2%), the model did not accurately capture year-to-year yield variations (NSE = -1.6), and results for nitrogen in runoff were poor (NSE = -0.04, PBIAS = -69%).We therefore also outline several ways in which the method could be improved. Other calibration methods exist, and the procedure presented here will not be applicable in all situations. However, fully documented APEX calibrations are rare in the literature, and the number of non-expert model users may be growing. We therefore anticipate that this paper will serve as a useful point of entry for those who are new to APEX. We also hope that this work contributes to the development of transparent and reproducible procedures for modeling studies that have real-world implications. Keywords: APEX model, Hydrologic modeling, Methodology, Model calibration.

author list (cited authors)

  • Mason, R., Gorres, J., Faulkner, J. W., Doro, L., & Merrill, S. C.

publication date

  • January 1, 2020 11:11 AM