Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 13
Articles | Volume 19, issue 13
https://doi.org/10.5194/gmd-19-5857-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-5857-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 13
Model description paper
 | 
06 Jul 2026
Model description paper |  | 06 Jul 2026

A food crop yield emulator for integration in the compact Earth system model OSCAR (OSCAR-crop v1.0)

Xinrui Liu, Thomas Gasser, Jianmin Ma, Junfeng Liu, Jonas Jägermeyr, Christoph Müller, Christian Folberth, Florian Zabel, Atul K. Jain, Wenfeng Liu, and Heidi Webber

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Short summary
This paper presents a crop yield emulator for four major crops (maize, rice, soybean, and wheat). Trained on process-based crop model simulations, it captures yield responses to key drivers: atmospheric CO2, temperature, water availability, and nitrogen use. The emulator closely reproduces the behavior of complex crop models and aligns well with FAO (Food and Agriculture Organization)-reported historical yields. It provides a robust and efficient method for representing agricultural outcomes in climate change impact assessments.
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