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| Titel |
Data assimilation in integrated hydrological modeling using ensemble Kalman filtering: evaluating the effect of ensemble size and localization on filter performance |
| VerfasserIn |
J. Rasmussen, H. Madsen, K. H. Jensen, J. C. Refsgaard |
| 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 ; 19, no. 7 ; Nr. 19, no. 7 (2015-07-02), S.2999-3013 |
| Datensatznummer |
250120757
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| Publikation (Nr.) |
 copernicus.org/hess-19-2999-2015.pdf |
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| Zusammenfassung |
| Groundwater head and stream discharge is assimilated using the ensemble
transform Kalman filter in an integrated hydrological model with the aim of
studying the relationship between the filter performance and the ensemble
size. In an attempt to reduce the required number of ensemble members, an
adaptive localization method is used. The performance of the adaptive
localization method is compared to the more common distance-based
localization. The relationship between filter performance in terms of
hydraulic head and discharge error and the number of ensemble members is
investigated for varying numbers and spatial distributions of groundwater
head observations and with or without discharge assimilation and parameter
estimation. The study shows that (1) more ensemble members are needed when
fewer groundwater head observations are assimilated, and (2) assimilating
discharge observations and estimating parameters requires a much larger
ensemble size than just assimilating groundwater head observations. However,
the required ensemble size can be greatly reduced with the use of adaptive
localization, which by far outperforms distance-based localization. The
study is conducted using synthetic data only. |
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