Home | << 1 >> |
Record | |||||
---|---|---|---|---|---|
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 | |
Keywords | |||||
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 | ||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | Approved | no | |||
Call Number | MA @ admin @ | Serial | 2231 | ||
Permanent link to this record |