Articles | Volume 16, issue 13
Development and technical paper
11 Jul 2023
Development and technical paper |  | 11 Jul 2023

Developing spring wheat in the Noah-MP land surface model (v4.4) for growing season dynamics and responses to temperature stress

Zhe Zhang, Yanping Li, Fei Chen, Phillip Harder, Warren Helgason, James Famiglietti, Prasanth Valayamkunnath, Cenlin He, and Zhenhua Li

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Cited articles

Agyeman, R. Y. K., Huo, F., Li, Z., and Li, Y.: Modelled changes in selected agroclimatic indices over the croplands of western Canada under the RCP8.5 scenario, Q. J. Roy. Meteor. Soc., 147, 4454–4467,, 2021. 
Annual Crop Inventory: Agriculture and Agri-Food Canada,; last access: October 2022. 
Bernacchi, C. J., Bagley, J. E., Serbin, S. P., Ruiz-Vera, U. M., Rosenthal, D. M., and Vanloocke, A.: Modelling C3 photosynthesis from the chloroplast to the ecosystem, Plant. Cell Environ., 36, 1641–1657,, 2013. 
Carew, R., Meng, T., Florkowski, W. J., Smith, R., and Blair, D.: Climate change impacts on hard red spring wheat yield and production risk: evidence from Manitoba, Canada, Can. J. Plant Sci., 98, 782–795,, 2017. 
Cenlin_He, Barlage, M., xutr-bnu, Zhang, Z., Mocko, D., and Chen, F.: CharlesZheZhang/hrldas: HRLDAS driver for NoahMP LSM v4.4 with spring wheat (v4.4), Zenodo [code],, 2023a. 
Short summary
Crop models incorporated in Earth system models are essential to accurately simulate crop growth processes on Earth's surface and agricultural production. In this study, we aim to model the spring wheat in the Northern Great Plains, focusing on three aspects: (1) develop the wheat model at a point scale, (2) apply dynamic planting and harvest schedules, and (3) adopt a revised heat stress function. The results show substantial improvements and have great importance for agricultural production.