Multi-model evaluation of phenology prediction for wheat in Australia
D. Wallach, T. Palosuo, P. Thorburn, Z. Hochman, F. Andrianasolo, S. Asseng, B. Basso, S. Buis, N. Crout, B. Dumont, R. Ferrise, T. Gaiser, S. Gayler, S. Hiremath, S. Hoek, , L. Weihermüller
This study evaluates wheat phenology prediction models in Australia, finding that multi-model averaging performs nearly as well as the best single model, with an average error of 9 days.
bioRxiv · Jun 6, 2020Plant Biology