Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 21
Articles | Volume 18, issue 21
https://doi.org/10.5194/gmd-18-8379-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-8379-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 21
Development and technical paper
 | 
10 Nov 2025
Development and technical paper |  | 10 Nov 2025

Modeling wheat development under extreme weather with WOFOST-EW v1

Jinhui Zheng, Le Yu, Zhenrong Du, Liujun Xiao, and Xiaomeng Huang

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Short summary
This study integrates the extreme weather index and deep learning algorithms with the World Food Studies Simulation Model (WOFOST), proposing the WOFOST-EW v1. WOFOST-EW significantly improves the simulation of winter wheat growth under extreme weather conditions, providing more accurate predictions of phenology and yield. As extreme weather events become more frequent, WOFOST-EW provides a key tool for agricultural development.
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