Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 13
Articles | Volume 16, issue 13
https://doi.org/10.5194/gmd-16-3809-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-3809-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Supplement

https://doi.org/10.5194/gmd-16-3809-2023-supplement

Data sets

High Resolution WRF Simulations of the Current and Future Climate of North America, Research Data Archive at the National Center for Atmospheric Research R. Rasmussen and C. Liu https://doi.org/10.5065/D6V40SXP

oah-MP data for modeling Canadian spring wheat study Z. Zhang https://doi.org/10.5281/zenodo.7023831

Model code and software

HRLDAS driver for NoahMP LSM v4.4 with spring wheat (v4.4) Cenlin_He, Michael Barlage, xutr-bnu, Zhe Zhang, David Mocko, and Fei Chen https://doi.org/10.5281/zenodo.7556048

CharlesZheZhang/noahmp: NoahMP LSM v4.4 with spring wheat (v4.4) Cenlin_He, Michael Barlage, Prasanth Valayamkunnath, Dave Gill, David Mocko, and Fei Chen https://doi.org/10.5281/zenodo.7556046

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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.
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