Lessons from climate modeling on the design and use of ensembles for crop modeling.

ABSTRACT: Working with ensembles of crop models is a recent but important development in crop modeling which promises to lead to better uncertainty estimates for model projections and predictions, better predictions using the ensemble mean or median, and closer collaboration within the modeling community. There are numerous open questions about the best way to create and analyze such ensembles. Much can be learned from the field of climate modeling, given its much longer experience with ensembles. We draw on that experience to identify questions and make propositions that should help make ensemble modeling with crop models more rigorous and informative. The propositions include defining criteria for acceptance of models in a crop MME, exploring criteria for evaluating the degree of relatedness of mo

SUBMITTER: Wallach D 

PROVIDER: S-EPMC7175712 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature