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Comments on generalised likelihood uncertainty estimation

Author

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  • Romanowicz, Renata J.
  • Beven, Keith J.

Abstract

The paper presents an application of the generalised likelihood uncertainty estimation methodology to the problem of estimating the uncertainty of predictions produced by environmental models. The methodology is placed in a wider context of different approaches to inverse modelling and, in particular, a comparison is made with Bayesian estimation techniques based on explicit structural assumptions about model error. Using a simple example of a rainfall-flow model, different evaluation measures and their influence on the prediction uncertainty and credibility intervals are demonstrated.

Suggested Citation

  • Romanowicz, Renata J. & Beven, Keith J., 2006. "Comments on generalised likelihood uncertainty estimation," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1315-1321.
    • Handle: RePEc:eee:reensy:v:91:y:2006:i:10:p:1315-1321
    DOI: 10.1016/j.ress.2005.11.030
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    Cited by:

    1. Melpomeni Nikou & Theodoros Mavromatis, 2023. "Demonstrating the Use of the Yield-Gap Concept on Crop Model Calibration in Data-Poor Regions: An Application to CERES-Wheat Crop Model in Greece," Land, MDPI, vol. 12(7), pages 1-19, July.
    2. Yao, Ning & Li, Yi & Xu, Fang & Liu, Jian & Chen, Shang & Ma, Haijiao & Wai Chau, Henry & Liu, De Li & Li, Meng & Feng, Hao & Yu, Qiang & He, Jianqiang, 2020. "Permanent wilting point plays an important role in simulating winter wheat growth under water deficit conditions," Agricultural Water Management, Elsevier, vol. 229(C).

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