The purpose of this document is to inform potential end-users about the functionality of the APSIM Wheat Yield Data Cube. Here, we describe the methodology, including the source data, APSIM crop model configurations and outputs available to end-users via an API. See Agriyieldz API Guide for details on how to access the product via the API.
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Outputs from the model were compared to a simple French- Schultz model, that predicts yield in response to growing season rainfall and starting soil moisture. Additional outputs about temperature extremes for heat and frost were extracted from the data. The goal was to create a simple evaluation that allowed the user to quickly gauge if the model is performing as expected for the desired location. APSIM is more sophisticated than the French-Schultz model, so perfect correlations are not expected. However, over a 30 year simulation, at one location, the mean error should be less than 20%. Maps of the mean error, between the French-Schultz model and APSIM are created.
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