Adelaide Research & Scholarship
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https://hdl.handle.net/2440/105969
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| Type: | Journal article |
| Title: | A hybrid approach to monthly streamflow forecasting: integrating hydrological model outputs into a Bayesian artificial neural network |
| Author: | Humphrey, G. Gibbs, M. Dandy, G. Maier, H. |
| Citation: | Journal of Hydrology, 2016; 540:623-640 |
| Publisher: | Elsevier |
| Issue Date: | 2016 |
| ISSN: | 0022-1694 1879-2707 |
| Statement of Responsibility: | Greer B. Humphrey, Matthew S. Gibbs, Graeme C. Dandy, Holger R. Maier |
| Abstract: | Abstract not available |
| Keywords: | Monthly streamflow forecasting; Bayesian artificial neural networks; Conceptual hydrological models; uncertainty; hybrid modelling; South Australia |
| Rights: | © 2016 Elsevier B.V. All rights reserved. |
| DOI: | 10.1016/j.jhydrol.2016.06.026 |
| Published version: | http://dx.doi.org/10.1016/j.jhydrol.2016.06.026 |
| Appears in Collections: | Aurora harvest 8 Environment Institute Leaders publications |
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