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Author  |
Wallach, D.; Rivington, M. | ||||
| Title | A framework for assessing the uncertainty in crop model predictions | Type | Report | ||
| Year | 2014 | Publication | FACCE MACSUR Reports | Abbreviated Journal | |
| Volume | 3 | Issue | Pages | D-C4.1.2 | |
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| 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. No Label | ||||
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| Notes | Approved | no | |||
| Call Number | MA @ admin @ | Serial | 2231 | ||
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