Multi-model data fusion as a tool for PUB: example in a Swedish mesoscale catchment
Post-processing the output of different rainfall-runoff models allows one to pool strengths of each model to produce more reliable predictions. As a new approach in the frame of the "Prediction in Ungauged Basins" initiative, this study investigates the geographical transferability of diff...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2011-02-01
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| Series: | Advances in Geosciences |
| Online Access: | http://www.adv-geosci.net/29/43/2011/adgeo-29-43-2011.pdf |
| Summary: | Post-processing the output of different rainfall-runoff models allows one to
pool strengths of each model to produce more reliable predictions. As a new
approach in the frame of the "Prediction in Ungauged Basins" initiative,
this study investigates the geographical transferability of different
parameter sets and data-fusion methods which were applied to 5 different
rainfall-runoff models for a low-land catchment in Central Sweden. After
usual calibration, we adopted a proxy-basin validation approach between two
similar but non-nested sub-catchments in order to simulate ungauged
conditions.
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Many model combinations outperformed the best single model predictions with
improvements of efficiencies from 0.70 for the best single model predictions
to 0.77 for the best ensemble predictions. However no "best" data-fusion
method could be determined as similar performances were obtained with
different merging schemes. In general, poorer model performance, i.e. lower
efficiency, was less likely to occur for ensembles which included more
individual models. |
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| ISSN: | 1680-7340 1680-7359 |