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Strong regional influence of climatic forcing datasets on global crop model ensembles
Ruane, A. C., Phillips, M., Müller, C., Elliott, J., Jägermeyr, J., Arneth, A., … Yang, H. (2021). Strong regional influence of climatic forcing datasets on global crop model ensembles. Agricultural and Forest Meteorology, 300, 108313 (18 pp.). https://doi.org/10.1016/j.agrformet.2020.108313
The Global Gridded Crop Model Intercomparison phase 1 simulation dataset
Müller, C., Elliott, J., Kelly, D., Arneth, A., Balkovic, J., Ciais, P., … Yang, H. (2019). The Global Gridded Crop Model Intercomparison phase 1 simulation dataset. Scientific Data, 6(1), 50 (22 pp.). https://doi.org/10.1038/s41597-019-0023-8
Global patterns of crop yield stability under additional nutrient and water inputs
Müller, C., Elliott, J., Pugh, T. A. M., Ruane, A. C., Ciais, P., Balkovic, J., … Wang, X. (2018). Global patterns of crop yield stability under additional nutrient and water inputs. PLoS One, 13(6), e0198748 (14 pp.). https://doi.org/10.1371/journal.pone.0198748
Crop productivity changes in 1.5 °C and 2 °C worlds under climate sensitivity uncertainty
Schleussner, C. F., Deryng, D., Müller, C., Elliott, J., Saeed, F., Folberth, C., … Rogelj, J. (2018). Crop productivity changes in 1.5 °C and 2 °C worlds under climate sensitivity uncertainty. Environmental Research Letters, 13(6), 064007 (8 pp.). https://doi.org/10.1088/1748-9326/aab63b
Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications
Müller, C., Elliott, J., Chryssanthacopoulos, J., Arneth, A., Balkovic, J., Ciais, P., … Yang, H. (2017). Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications. Geoscientific Model Development, 10(4), 1403-1422. https://doi.org/10.5194/gmd-10-1403-2017
Spatial and temporal uncertainty of crop yield aggregations
Porwollik, V., Müller, C., Elliott, J., Chryssanthacopoulos, J., Iizumi, T., Ray, D. K., … Wu, X. (2017). Spatial and temporal uncertainty of crop yield aggregations. European Journal of Agronomy, 88, 10-21. https://doi.org/10.1016/j.eja.2016.08.006