A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation
文献类型：SCI/SSCI论文
| 作者 | Confalonieri R.; Bregaglio, S.; Adam, M.; Ruget, F.; Li, T.; Hasegawa, T.; Yin, X. Y.; Zhu, Y.; Boote, K.; Buis, S. |
| 发表日期 | 2016 |
| 关键词 | Model classification Model parameterisation Model ensemble Model structure Rice Uncertainty crop models sensitivity-analysis climate-change calibration yield wheat uncertainty water plasticity evolution |
| 英文摘要 | For most biophysical domains, differences in model structures are seldom quantified. Here, we used a taxonomy-based approach to characterise thirteen rice models. Classification keys and binary attributes for each key were identified, and models were categorised into five clusters using a binary similarity measure and the unweighted pair-group method with arithmetic mean. Principal component analysis was performed on model outputs at four sites. Results indicated that (i) differences in structure often resulted in similar predictions and (ii) similar structures can lead to large differences in model outputs. User subjectivity during calibration may have hidden expected relationships between model structure and behaviour. This explanation, if confirmed, highlights the need for shared protocols to reduce the degrees of freedom during calibration, and to limit, in turn, the risk that user subjectivity influences model performance. (C) 2016 Elsevier Ltd. All rights reserved. |
| 出处 | Environmental Modelling & Software |
| 卷 | 85 |
| 页 | 332-341 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1364-8152 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/43415]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Confalonieri R.,Bregaglio, S.,Adam, M.,et al. A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation. 2016. |
入库方式： OAI收割
来源：地理科学与资源研究所
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