Please use this identifier to cite or link to this item:
|Title:||Transposing measured discharge time-series: large-scale comparison of top-kriging to geomorphology-based inverse modeling|
|Authors:||DE LAVENNE ALBAN; SKOIEN JON; CUDENNEC CHRISTOPHE; CURIE FLORENCE; MOATAR F.|
|Citation:||WATER RESOURCES RESEARCH vol. 52 no. 7 p. 5555-5576|
|Publisher:||AMER GEOPHYSICAL UNION|
|Type:||Articles in periodicals and books|
|Abstract:||Few methods transpose streamflow measurements for continuous prediction of ungauged catchments. Top-kriging has been used mainly to predict the statistical properties of runoff, but has been shown to outperform traditional regionalization approaches of rainfall-runoff models. We applied the top-kriging approach across the Loire river basin and compared predictions to a geomorphology-based transposition approach. Whereas top-kriging uses spatial correlation, the other approach has the advantage of being more naturalistic by using a well-known geomorphology-based component of a hydrological model and its inversion. Both approaches require an equal degree of calibration and provide similar performances. We also demonstrate that the Ghosh distance can be used efficiently to calculate weights and to identify the ability of gauged catchments for use as donor catchments. This result is particularly relevant for catchments with Strahler orders above five, i.e., where nested structures of catchments are more significant|
|JRC Directorate:||Space, Security and Migration|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.