Universität Bonn

INRES Crop Science

Cluster T - Technical tool development

To support modelling and data analysis our group develops various technical tools. Main emphasis is on the development of the simulation framework Simplace and the implementation and impro­vement of existing models as well as the development of new models within this framework. For greater flexibility, Simplace can deal with different input and output data formats and offers interfaces to common data science languages (R, Python, Matlab, Julia). This enables us to couple Sim­place models with other frameworks or combine them with sensitivity analysis, calibration or data assimilation procedures. We provide scripts and toolchains to automatize transformation and analysis of experimental and model data from plot scale up to global scale. We also offer training seminars to improve the technical skills of the group members and other interested users and increase our knowledge of the technical and mathematical aspects of crop modelling and data analysis.

Associated projects

Key references

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

Martre Pierre, Donatelli Marcello, Pradal Christophe, Enders Andreas, Ahmed Midingoyi Cyrille, Athanasiadis Ioannis, Fumagalli Davide, Holzworth Dean, Hoogenboom Gerrit, Porter Cheryl, Raynal Hélène, Rizzoli Andrea E., Thorburn Peter J.. 2018. The Agricultural Model Exchange Initiative. In : Abstracts of the 7th AgMIP Global Workshop. IICA. San José : IICA, Résumé, pp. 17-18. AgMIP Global Workshop. 7, San José, Costa Rica, 24 April 2018/26 April 2018.

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