Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
doi:10.5194/gmd-2016-245
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Development and technical paper
12 Oct 2016
Review status
A revision of this discussion paper was accepted for the journal Geoscientific Model Development (GMD) and is expected to appear here in due course.
Development of a winter wheat model in the Community Land Model (version 4.5)
Yaqiong Lu1,2, Ian N. Williams1, Justin E. Bagley1, Margaret S. Torn1, and Lara M. Kueppers1 1Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory
2Climate and Global Dynamics Laboratory, National Center for Atmospheric Research
Abstract. Winter wheat is a staple crop for global food security, and is the dominant vegetation cover for a significant fraction of earth's croplands. As such, it plays an important role in carbon cycling and land-atmosphere interactions in these key regions. Accurate simulation of winter wheat growth is not only crucial for future yield prediction under changing climate, but also for understanding the energy and water cycles for winter wheat dominated regions. We developed a new winter wheat model in the Community Land Model (CLM) to better simulate wheat growth and grain production. These included schemes to represent vernalization, as well as frost tolerance and damage. We calibrated three key parameters (minimum planting temperature, maximum crop growth days, and initial value of leaf carbon allocation coefficient) and modified the grain carbon allocation algorithm for simulations at the U.S. Southern Great Plains ARM site (US-ARM), and validated the model performance at three additional sites across the continental US. We found that the new winter wheat model improved the prediction of monthly variation in leaf area index, latent heat flux, and net ecosystem exchange during the spring growing season. The model accurately simulated the interannual variation in yield at the US-ARM site, but underestimated yield at sites and in regions (Northwestern and Southeastern US) with historically greater yields.

Citation: Lu, Y., Williams, I. N., Bagley, J. E., Torn, M. S., and Kueppers, L. M.: Development of a winter wheat model in the Community Land Model (version 4.5), Geosci. Model Dev. Discuss., doi:10.5194/gmd-2016-245, in review, 2016.
Yaqiong Lu et al.
Yaqiong Lu et al.
Yaqiong Lu et al.

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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...
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