New articles on calibration protocols

The AgMIP project is an international project that aims to improve agricultural models in order to assess the impact of climate change on agricultural production at all scales. It relies on a network of experts from over fifty research teams around the world.

Among the various groups involved in this project, the calibration group has produced a complete and generic calibration protocol based directly on the standard statistical estimation of parameters in regression models. Agricultural models need to be calibrated before being used for new environments or varieties. Given the wide variability of calibration approaches, which contributes to the uncertainty of simulated values, it is important that improved procedures are developed and made available to model users.

You will find the article presenting this protocol here: https://doi.org/10.1016/j.eja.2025.127659

This procedure has already been used to select variables and parameters for the STICS model, in order to calibrate it for a new cultivar, with a case study on winter wheat. The article is available here: https://doi.org/10.1016/j.eja.2025.127677