Crop Model Calibration 

Main Contact for Initiative

Daniel Wallach

Brief description of activity

In this project of the uncertainty theme, we aim to identify promising approaches to crop model calibration, apply them to multiple models using a common data set and evaluate them. We will also consider how to evaluate the calibrated model, and how to quantify the relation of prediction error to amount of data.

Overview of Participants

The first phase was a survey with over 200 participants. The call for the second phase, open to all,  is now being prepared.

 

Current Research Focus

The current phase aims to test calibration methods on phenology models.

Recent Noteworthy Finding

The main result of the survey was to highlight the large diversity of approaches to crop model calibration by practitioners.

Recent Papers/Reports

 

Towards improved calibration of crop models – Where are we now and where should we go?2018

Seidel, S.J., T. Palosuo, P. Thorburn, and D. Wallach, 2018: Towards improved calibration of crop models – Where are we now and where should we go? European Journal of Agronomy, Volume 94, March 2018, Pages 25-35, https://doi.org/10.1016/j.eja.2018.01.006.