Articles | Volume 10, issue 5
https://doi.org/10.5194/gmd-10-1873-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-1873-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
05 May 2017
Development and technical paper |
| 05 May 2017
Representing winter wheat in the Community Land Model (version 4.5)
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA
Ian N. Williams
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Justin E. Bagley
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Margaret S. Torn
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Energy and Resources Group, University of California, Berkeley, Berkeley, California, USA
Lara M. Kueppers
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Energy and Resources Group, University of California, Berkeley, Berkeley, California, USA
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- Assessing the potential for crop albedo enhancement in reducing heatwave frequency, duration, and intensity under future climate change J. Kala et al. 10.1016/j.wace.2022.100415
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- Impact of Vegetation Physiology and Phenology on Watershed Hydrology in a Semiarid Watershed in the Pacific Northwest in a Changing Climate B. Zhu et al. 10.1029/2020WR028394
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- Divergent responses of tiller and grain yield to fertilization and fallow precipitation: Insights from a 28-year long-term experiment in a semiarid winter wheat system R. WANG et al. 10.1016/S2095-3119(20)63296-8
- DayCent Model Predictions of NPP and Grain Yields for Agricultural Lands in the Contiguous U.S. Y. Zhang et al. 10.1029/2020JG005750
- Impact of environmental changes and land management practices on wheat production in India S. Gahlot et al. 10.5194/esd-11-641-2020
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- Could crop albedo modification reduce regional warming over Australia? J. Kala & A. Hirsch 10.1016/j.wace.2020.100282
- Incorporating dynamic crop growth processes and management practices into a terrestrial biosphere model for simulating crop production in the United States: Toward a unified modeling framework Y. You et al. 10.1016/j.agrformet.2022.109144
- Validation of Spring Wheat Responses to Elevated CO2, Irrigation, and Nitrogen Fertilization in the Community Land Model 4.5 Y. Lu & B. Kimball 10.1029/2020EA001088
- Water use efficiency and its drivers in four typical agroecosystems based on flux tower measurements S. Jiang et al. 10.1016/j.agrformet.2020.108200
- A remote sensing-based two-leaf canopy conductance model: Global optimization and applications in modeling gross primary productivity and evapotranspiration of crops Y. Bai et al. 10.1016/j.rse.2018.06.005
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Saved (preprint)
Latest update: 05 Dec 2023
Short summary
Predicting winter wheat growth in the future climate scenarios is crucial for food security. We developed a winter wheat model in the Community Land Model to better predict winter wheat growth and grain production at multiple temporal and spatial scales. We validated the model and found that the new winter wheat model improved the prediction of winter wheat growth related variables during the spring growing season but underestimated yield in regions with historically greater yields.
Predicting winter wheat growth in the future climate scenarios is crucial for food security. We...
