A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation
详细信息 查看全文
- 作者：Roberto Confalonieria ; roberto.confalonieri@unimi.it" class="auth_mail" title="E-mail the corresponding author ; Simone Bregaglioa ; Myriam Adamb ; Franç ; oise Rugetc ; Tao Lid ; 1 ; Toshihiro Hasegawae ; 2 ; Xinyou Yinf ; 2 ; Yan Zhug ; 2 ; Kenneth Booteh ; 2 ; Samuel Buisc ; Tamon Fumotoe ; Donald Gaydoni ; Tanguy Lafargeb ; Manuel Marcaidad ; Hiroshi Nakagawaj ; Alex C. Ruanek ; Balwinder Singhs ; Upendra Singhl ; Liang Tangg ; Fulu Taom ; t ; Job Fugicel ; Hiroe Yoshidaj ; Zhao Zhangn ; Lloyd T. Wilsono ; Jeff Bakerp ; Yubin Yango ; Yuji Masutomiq ; Daniel Wallachr ; Marco Acutisa ; Bas Boumand
- 关键词：Model classification ; Model parameterisation ; Model ensemble ; Model structure ; Rice ; Uncertainty
- 刊名：Environmental Modelling & Software
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：85
- 期：Complete
- 页码：332-341
- 全文大小：1243 K
文摘
- •
A taxonomy-based approach was used to classify AgMIP rice simulation models.
- •
Different model structures often resulted in similar outputs.
- •
Similar structures often led to large differences in outputs.
- •
User subjectivity likely hides relationships between model structure and behaviour.
- •
Shared protocols are still needed to limit the risks during calibration.