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Maiorano, A.; Martre, P.; Asseng, S.; Ewert, F.; Müller, C.; Rötter, R.P.; Ruane, A.C.; Semenov, M.A.; Wallach, D.; Wang, E.; Alderman, P.D.; Kassie, B.T.; Biernath, C.; Basso, B.; Cammarano, D.; Challinor, A.J.; Doltra, J.; Dumont, B.; Rezaei, E.E.; Gayler, S.; Kersebaum, K.C.; Kimball, B.A.; Koehler, A.-K.; Liu, B.; O’Leary, G.J.; Olesen, J.E.; Ottman, M.J.; Priesack, E.; Reynolds, M.; Stratonovitch, P.; Streck, T.; Thorburn, P.J.; Waha, K.; Wall, G.W.; White, J.W.; Zhao, Z.; Zhu, Y. Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles 2016 Field Crops Research 202 5-20 details   doi
Wallach, D.; Thorburn, P.; Asseng, S.; Challinor, A.J.; Ewert, F.; Jones, J.W.; Rötter, R.; Ruane, A. Overview paper on comprehensive framework for assessment of error and uncertainty in crop model predictions 2016 FACCE MACSUR Reports 8 C4.1-D details   url
Wallach, D.; Thorburn, P.; Asseng, S.; Challinor, A.J.; Ewert, F.; Jones, J.W.; Rötter, R.; Ruane, A. Estimating model prediction error: Should you treat predictions as fixed or random 2016 Environmental Modelling & Software 84 529-539 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
Challinor, A.J.; Müller, C.; Asseng, S.; Deva, C.; Nicklin, K.J.; Wallach, D.; Vanuytrecht, E.; Whitfield, S.; Ramirez-Villegas, J.; Koehler, A.-K. Improving the use of crop models for risk assessment and climate change adaptation 2017 Agricultural Systems 159 296-306 details   doi
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