Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: A review
The generalized likelihood uncertainty estimation (GLUE) technique is an innovative uncertainty method that is often employed with environmental simulation models. Over the past years, hydrological literature has seen a large increase in the number of papers dealing with uncertainty. There are now a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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2015
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| Online Access: | http://eprints.um.edu.my/15788/1/Application_of_the_generalized_likelihood_uncertainty_estimation_%28GLUE%29_approach_for_assessing.pdf |
| _version_ | 1825720735182618624 |
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| author | Mirzaei, M. Huang, Y.F. El-Shafie, A. Shatirah, A. |
| author_facet | Mirzaei, M. Huang, Y.F. El-Shafie, A. Shatirah, A. |
| author_sort | Mirzaei, M. |
| collection | UM |
| description | The generalized likelihood uncertainty estimation (GLUE) technique is an innovative uncertainty method that is often employed with environmental simulation models. Over the past years, hydrological literature has seen a large increase in the number of papers dealing with uncertainty. There are now a lot of citations to their original paper which illustrates GLUE tremendous impact. GLUE's popularity can be attributed to its simplicity and its applicability to nonlinear systems, including those for which a unique calibration is not apparent. The GLUE was introduced for use in uncertainty analysis of watershed models has now been extended well beyond rainfall-runoff watershed models. Given the widespread adoption of GLUE analyses for a broad range or problems, it is appropriate that the validity of the approach be examined with care. In this article, we present an overview of the application of GLUE for assessing uncertainty distribution in hydrological models particularly surface and subsurface hydrology and briefly describe algorithms for sampling of the prior parameter in hydrologic simulation models. |
| first_indexed | 2024-03-06T05:39:39Z |
| format | Article |
| id | um.eprints-15788 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:39:39Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | um.eprints-157882016-04-20T02:23:26Z http://eprints.um.edu.my/15788/ Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: A review Mirzaei, M. Huang, Y.F. El-Shafie, A. Shatirah, A. T Technology (General) TA Engineering (General). Civil engineering (General) The generalized likelihood uncertainty estimation (GLUE) technique is an innovative uncertainty method that is often employed with environmental simulation models. Over the past years, hydrological literature has seen a large increase in the number of papers dealing with uncertainty. There are now a lot of citations to their original paper which illustrates GLUE tremendous impact. GLUE's popularity can be attributed to its simplicity and its applicability to nonlinear systems, including those for which a unique calibration is not apparent. The GLUE was introduced for use in uncertainty analysis of watershed models has now been extended well beyond rainfall-runoff watershed models. Given the widespread adoption of GLUE analyses for a broad range or problems, it is appropriate that the validity of the approach be examined with care. In this article, we present an overview of the application of GLUE for assessing uncertainty distribution in hydrological models particularly surface and subsurface hydrology and briefly describe algorithms for sampling of the prior parameter in hydrologic simulation models. 2015-07 Article PeerReviewed application/pdf en http://eprints.um.edu.my/15788/1/Application_of_the_generalized_likelihood_uncertainty_estimation_%28GLUE%29_approach_for_assessing.pdf Mirzaei, M. and Huang, Y.F. and El-Shafie, A. and Shatirah, A. (2015) Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: A review. Stochastic Environmental Research and Risk Assessment, 29 (5). pp. 1265-1273. ISSN 1436-3240, DOI https://doi.org/10.1007/s00477-014-1000-6 <https://doi.org/10.1007/s00477-014-1000-6>. http://link.springer.com/article/10.1007/s00477-014-1000-6 10.1007/s00477-014-1000-6 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) Mirzaei, M. Huang, Y.F. El-Shafie, A. Shatirah, A. Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: A review |
| title | Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: A review |
| title_full | Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: A review |
| title_fullStr | Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: A review |
| title_full_unstemmed | Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: A review |
| title_short | Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: A review |
| title_sort | application of the generalized likelihood uncertainty estimation glue approach for assessing uncertainty in hydrological models a review |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://eprints.um.edu.my/15788/1/Application_of_the_generalized_likelihood_uncertainty_estimation_%28GLUE%29_approach_for_assessing.pdf |
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