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| Titel |
Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models |
| VerfasserIn |
J. D. Herman, J. B. Kollat, P. M. Reed, T. Wagener |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 7 ; Nr. 17, no. 7 (2013-07-24), S.2893-2903 |
| Datensatznummer |
250018943
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| Publikation (Nr.) |
 copernicus.org/hess-17-2893-2013.pdf |
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| Zusammenfassung |
| The increase in spatially distributed hydrologic modeling warrants
a corresponding increase in diagnostic methods capable of analyzing
complex models with large numbers of
parameters. Sobol' sensitivity analysis has proven to be a valuable tool for diagnostic
analyses of hydrologic models. However, for many spatially
distributed models, the Sobol' method requires a prohibitive
number of model evaluations to reliably decompose output variance
across the full set of parameters. We investigate the potential of
the method of Morris, a screening-based sensitivity approach, to
provide results sufficiently similar to those of the Sobol'
method at a greatly reduced computational expense. The methods are
benchmarked on the Hydrology Laboratory Research Distributed
Hydrologic Model (HL-RDHM) over a six-month period in the Blue
River watershed, Oklahoma, USA. The Sobol' method required
over six million model evaluations to ensure reliable sensitivity
indices, corresponding to more than 30 000 computing hours and
roughly 180 gigabytes of storage space. We find that the method of
Morris is able to correctly screen the most and least sensitive
parameters with 300 times fewer model evaluations, requiring only
100 computing hours and 1 gigabyte of storage space. The method of
Morris proves to be a promising diagnostic approach for global
sensitivity analysis of highly parameterized, spatially distributed
hydrologic models. |
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