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| Titel |
Inverse streamflow routing |
| VerfasserIn |
M. Pan, E. F. Wood |
| 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. 11 ; Nr. 17, no. 11 (2013-11-19), S.4577-4588 |
| Datensatznummer |
250085999
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| Publikation (Nr.) |
 copernicus.org/hess-17-4577-2013.pdf |
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| Zusammenfassung |
The process whereby the spatially distributed runoff (generated through
saturation/infiltration excesses, subsurface flow, etc.) travels over the
hillslope and river network and becomes streamflow is generally referred to as
"routing". In short, routing is a runoff-to-streamflow process, and the
streamflow in rivers is the response to runoff integrated in both time and
space. Here we develop a methodology to invert the routing process, i.e., to
derive the spatially distributed runoff from streamflow (e.g., measured at
gauge stations) by inverting an arbitrary linear routing model using fixed
interval smoothing. We refer to this streamflow-to-runoff process as "inverse
routing". Inversion experiments are performed using both synthetically
generated and real streamflow measurements over the Ohio River basin.
Results show that inverse routing can effectively reproduce the spatial
field of runoff and its temporal dynamics from sufficiently dense gauge
measurements, and the inversion performance can also be strongly affected by
low gauge density and poor data quality.
The runoff field is the only component in the terrestrial water budget that
cannot be directly measured, and all previous studies used streamflow
measurements in its place. Consequently, such studies are limited to scales
where the spatial and temporal difference between the two can be ignored.
Inverse routing provides a more sophisticated tool than traditional methods
to bridge this gap and infer fine-scale (in both time and space) details of
runoff from aggregated measurements. Improved handling of this final gap in
terrestrial water budget analysis may potentially help us to use space-borne
altimetry-based surface water measurements for cross-validating,
cross-correcting, and assimilation with other space-borne water cycle
observations. |
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