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- W2265699426 abstract "It is of major importance in modeling to understand and quantify the uncertainty in model predictions, both in order to know how much confidence to have in those predictions, and as a first step toward model improvement. Here we show that there are basically three different approaches to evaluating uncertainty, and we explain the advantages and drawbacks of each. This is a necessary first step toward developing protocols for evaluation of uncertainty and so obtaining a clearer picture of the reliability of crop models." @default.
- W2265699426 created "2016-06-24" @default.
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- W2265699426 date "2014-07-07" @default.
- W2265699426 modified "2023-09-23" @default.
- W2265699426 title "A framework for assessing the uncertainty in crop model predictions" @default.
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