Articles | Volume 10, issue 5
Geosci. Model Dev., 10, 1873–1888, 2017
https://doi.org/10.5194/gmd-10-1873-2017
Geosci. Model Dev., 10, 1873–1888, 2017
https://doi.org/10.5194/gmd-10-1873-2017

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)

Yaqiong Lu et al.

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Cited articles

Aase, J. K. and Siddoway, F. H.: Crown-Depth Soil Temperatures and Winter Protection for Winter-Wheat Survival, Soil Sci. Soc. Am. J., 43, 1229–1233, 1979.
Anthoni, P. M., Freibauer, A., Kolle, O., and Schulze, E. D.: Winter wheat carbon exchange in Thuringia, Germany, Agr. Forest Meteorol., 121, 55–67, 2004.
Arora, V. K.: Simulating energy and carbon fluxes over winter wheat using coupled land surface and terrestrial ecosystem models, Agr. Forest Meteorol., 118, 21–47, 2003.
Barlow, K. M., Christy, B. P., O'Leary, G. J., Riffkin, P. A., and Nuttall, J. G.: Simulating the impact of extreme heat and frost events on wheat crop production: A review, Field Crop Res., 171, 109–119, 2015.
Bergjord, A. K., Bonesmo, H., and Skjelvag, A. O.: Modelling the course of frost tolerance in winter wheat I. Model development, Eur. J. Agron., 28, 321–330, 2008.
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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.