Publication Abstracts

Confalonieri et al. 2016

Confalonieri, R., S. Bregaglio, M. Adam, F. Ruget, T. Li, T. Hasegawa, X. Yin, Y. Zhu, K. Boote, S. Buis, T. Fumoto, D. Gaydon, T. Lafarge, M. Marcaida, H. Nakagawa, A.C. Ruane, B. Singh, U. Singh, L. Tang, F. Tao, J. Fugice, H. Yoshida, Z. Zhang, L.T. Wilson, J. Baker, Y. Yang, Y. Masutomi, D. Wallach, M. Acutis, and B. Bouman, 2016: A taxonomy-based approach to shed light on the babel of mathematical models for rice simulations. Environ. Model. Softw., 85, 332-341, doi:10.1016/j.envsoft.2016.09.007.

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.

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BibTeX Citation

  author={Confalonieri, R. and Bregaglio, S. and Adam, M. and Ruget, F. and Li, T. and Hasegawa, T. and Yin, X. and Zhu, Y. and Boote, K. and Buis, S. and Fumoto, T. and Gaydon, D. and Lafarge, T. and Marcaida, M. and Nakagawa, H. and Ruane, A. C. and Singh, B. and Singh, U. and Tang, L. and Tao, F. and Fugice, J. and Yoshida, H. and Zhang, Z. and Wilson, L. T. and Baker, J. and Yang, Y. and Masutomi, Y. and Wallach, D. and Acutis, M. and Bouman, B.},
  title={A taxonomy-based approach to shed light on the babel of mathematical models for rice simulations},
  journal={Environ. Model. Softw.},

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RIS Citation

ID  - co06900s
AU  - Confalonieri, R.
AU  - Bregaglio, S.
AU  - Adam, M.
AU  - Ruget, F.
AU  - Li, T.
AU  - Hasegawa, T.
AU  - Yin, X.
AU  - Zhu, Y.
AU  - Boote, K.
AU  - Buis, S.
AU  - Fumoto, T.
AU  - Gaydon, D.
AU  - Lafarge, T.
AU  - Marcaida, M.
AU  - Nakagawa, H.
AU  - Ruane, A. C.
AU  - Singh, B.
AU  - Singh, U.
AU  - Tang, L.
AU  - Tao, F.
AU  - Fugice, J.
AU  - Yoshida, H.
AU  - Zhang, Z.
AU  - Wilson, L. T.
AU  - Baker, J.
AU  - Yang, Y.
AU  - Masutomi, Y.
AU  - Wallach, D.
AU  - Acutis, M.
AU  - Bouman, B.
PY  - 2016
TI  - A taxonomy-based approach to shed light on the babel of mathematical models for rice simulations
JA  - Environ. Model. Softw.
VL  - 85
SP  - 332
EP  - 341
DO  - 10.1016/j.envsoft.2016.09.007
ER  -

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