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Ruiz-Ramos, M.; Rodriguez, A.; Dosio, A.; Goodess, C.M.; Harpham, C.; Minguez, M.I.; Sanchez, E. Comparing correction methods of RCM outputs for improving crop impact projections in the Iberian Peninsula for 21st century 2016 Climatic Change 134 283-297 details   doi
Zhao, G.; Hoffmann, H.; Yeluripati, J.; Xenia, S.; Nendel, C.; Coucheney, E.; Kuhnert, M.; Tao, F.; Constantin, J.; Raynal, H.; Teixeira, E.; Grosz, B.; Doro, L.; Kiese, R.; Eckersten, H.; Haas, E.; Cammarano, D.; Kassie, B.; Moriondo, M.; Trombi, G.; Bindi, M.; Biernath, C.; Heinlein, F.; Klein, C.; Priesack, E.; Lewan, E.; Kersebaum, K.-C.; Rötter, R.; Roggero, P.P.; Wallach, D.; Asseng, S.; Siebert, S.; Gaiser, T.; Ewert, F. Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops 2016 Environmental Modelling & Software 80 100-112 details   doi
Dumont, B.; Basso, B.; Bodson, B.; Destain, J.-P.; Destain, M.-F. Climatic risk assessment to improve nitrogen fertilisation recommendations: A strategic crop model-based approach 2015 European Journal of Agronomy 65 10-17 details   doi
Angulo, C.; Rötter, R.; Trnka, M.; Pirttioja, N.; Gaiser, T.; Hlavinka, P.; Ewert, F. Characteristic ‘fingerprints’ of crop model responses to weather input data at different spatial resolutions 2013 European Journal of Agronomy 49 104-114 details   doi
Zhang, S.; Tao, F.; Zhang, Z. Uncertainty from model structure is larger than that from model parameters in simulating rice phenology in China 2017 European Journal of Agronomy 87 30-39 details   doi
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