Articles | Volume 14, issue 1
https://doi.org/10.5194/gmd-14-573-2021
https://doi.org/10.5194/gmd-14-573-2021
Development and technical paper
 | 
28 Jan 2021
Development and technical paper |  | 28 Jan 2021

Improving the representation of cropland sites in the Community Land Model (CLM) version 5.0

Theresa Boas, Heye Bogena, Thomas Grünwald, Bernard Heinesch, Dongryeol Ryu, Marius Schmidt, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen

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Cited articles

Aaheim, A., Amundsen, H., Dokken, T., and Wei, T.: Impacts and adaptation to climate change in European economies, Glob. Environ. Change, 22, 959–968, https://doi.org/10.1016/j.gloenvcha.2012.06.005, 2012. 
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, https://doi.org/10.2136/sssaj1979.03615995004300060036x, 1979. 
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 Crops Res., 171, 109–119, https://doi.org/10.1016/j.fcr.2014.11.010, 2015. 
Basche, A. D., Miguez, F. E., Kaspar, T. C., and Castellano, M. J.: Do cover crops increase or decrease nitrous oxide emissions? A meta-analysis, J. Soil Water Conserv., 69, 471–482, https://doi.org/10.2489/jswc.69.6.471, 2014. 
Basche, A. D., Archontoulis, S. V., Kaspar, T. C., Jaynes, D. B., Parkin, T. B., and Miguez, F. E.: Simulating long-term impacts of cover crops and climate change on crop production and environmental outcomes in the Midwestern United States, Agric. Ecosyst. Environ., 218, 95–106, https://doi.org/10.1016/j.agee.2015.11.011, 2016. 
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Short summary
In this study we were able to significantly improve CLM5 model performance for European cropland sites by adding a winter wheat representation, specific plant parameterizations for important cash crops, and a cover-cropping and crop rotation subroutine to its crop module. Our modifications should be applied in future studies of CLM5 to improve regional yield predictions and to better understand large-scale impacts of agricultural management on carbon, water, and energy fluxes.