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- Ellerbæk Nielsen, J., et al.
(författare)
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GLUE based marine X-band weather radar data calibration and uncertainty estimation
- 2015
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Ingår i: Urban Water Journal. - 1573-062X. ; 12:4, s. 283-294
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Tidskriftsartikel (refereegranskat)abstract
- The Generalized Likelihood Uncertainty Estimation methodology (GLUE) is investigated for radar rainfall calibration and uncertainty assessment. The method is used to calibrate radar data collected by a Local Area Weather Radar (LAWR).In contrast to other LAWR data calibrations, the method combines calibration with uncertainty estimation. Instead of searching for a single set of calibration parameters, the method uses the observations to construct distributions of the calibration parameters. These parameter sets provide valuable knowledge of parameter sensitivity and the uncertainty.Two approaches are analyzed; the static calibration approach, where the LAWR is calibrated once for a long period and the dynamic approach, where the estimate is continuously adjusted based on ground observations.The analysis illustrates that the static calibration performs insufficiently, whereas the dynamic adjustment improves the performance significantly.It is found that even if the dynamic adjustment method is used the uncertainty of rainfall estimates can still be significant.
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| 2. |
- Thorndahl, S., et al.
(författare)
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Event based uncertainty assessment in urban drainage modelling, applying the GLUE methodology
- 2008
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Ingår i: Journal of Hydrology. - : Elsevier BV. - 0022-1694 .- 1879-2707. ; 357:3-4, s. 421-437
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Tidskriftsartikel (refereegranskat)abstract
- In the present paper an uncertainty analysis on an application of the commercial urban drainage model. MOUSE is conducted. Applying the Generalized Likelihood Uncertainty Estimation (GLUE) methodology the model. is conditioned on observation time series from two flow gauges as well as the occurrence of combined sewer overflow. The GLUE methodology is used to test different conceptual setups in order to determine if one model, setup gives a better goodness of fit conditional on the observations than the other. Moreover, different methodological investigations of GLUE are conducted in order to test if the uncertainty analysis is unambiguous. It is shown that the GLUE methodology is very applicable in uncertainty analysis of this application of an urban drainage model, although it was shown to be quite difficult to get good fits of the whole time series. (c) 2008 Elsevier B.V. All rights reserved.
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