Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles
A - Papers appearing in refereed journals
Maiorano, A., Martre, P., Asseng, S., Ewert, F., Muller, C., Rotter, R. P., Ruane, A. C., Semenov, M. A., Wallach, D., Wang, E. L., Alderman, P. D., Kassie, B. T., Biernath, C., Basso, B., Cammaran, 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. G. and Zhu, Y. 2017. Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles. Field Crops Research. 202, pp. 5-20. https://doi.org/10.1016/j.fcr.2016.05.001