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Wallach, D.; Mearns, L.O.; Ruane, A.C.; Rötter, R.P.; Asseng, S. Lessons from climate modeling on the design and use of ensembles for crop modeling 2016 Climatic Change 139 551-564 details   doi
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
Watson, J.; Challinor, A.J.; Fricker, T.E.; Ferro, C.A.T. Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model 2015 Climatic Change 132 93-109 details   doi
Refsgaard, J.C.; Madsen, H.; Andréassian, V.; Arnbjerg-Nielsen, K.; Davidson, T.A.; Drews, M.; Hamilton, D.P.; Jeppesen, E.; Kjellström, E.; Olesen, J.E.; Sonnenborg, T.O.; Trolle, D.; Willems, P.; Christensen, J.H. A framework for testing the ability of models to project climate change and its impacts 2014 Climatic Change 122 271-282 details   doi
Makowski, D. A simple Bayesian method for adjusting ensemble of crop model outputs to yield observations 2017 European Journal of Agronomy 88 76-83 details   doi
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