2009
DOI: 10.1007/s11269-008-9397-7
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A Comparison of Low Flow Estimates in Ungauged Catchments Using Regional Regression and the HBV-Model

Abstract: Estimates of a low flow index in ungauged catchments calculated by a regional regression model and a regional hydrological model were compared for a study region southwestern Norway. The regression method was based on a relationship between the low flow index and an optimal set of catchment descriptors, established using stepwise linear regression for homogeneous subregions. Subregions were distinguished according to the season in which the lowest flow occurs, winter (May to October) or summer (November to Apr… Show more

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Cited by 60 publications
(56 citation statements)
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“…In such circumstances, the ensemble-based modelling framework approaches followed in the present research work and previous studies (e.g. McIntyre et al 2005, Buytaert and Beven 2009, Winsemius et al 2009) are ways of quantifying uncertainty, thus accepting the existence of these problems and learning about the catchment's hydrological response characteristics to consider alternative approaches for ungauged catchment runoff estimation.…”
Section: Discussionmentioning
confidence: 96%
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“…In such circumstances, the ensemble-based modelling framework approaches followed in the present research work and previous studies (e.g. McIntyre et al 2005, Buytaert and Beven 2009, Winsemius et al 2009) are ways of quantifying uncertainty, thus accepting the existence of these problems and learning about the catchment's hydrological response characteristics to consider alternative approaches for ungauged catchment runoff estimation.…”
Section: Discussionmentioning
confidence: 96%
“…1). We classified the study area into temperature zones based on summer (May-October), winter (NovemberApril) and all-season mean temperatures (Engeland and Hisdal 2009). We applied the spline with tension option of the ArcMAP radial basis functions to represent the smoothly varying temperature surfaces (Mitáš and Mitášová 1988).…”
Section: Input Datamentioning
confidence: 99%
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“…In an international level, this affirmation can be ascertained through the development of several studies aiming hydrological generalization (ASSANI et al, 2011;MWALE et al, 2011;SAMUEL et al, 2011;ENGELAND & HISDAL, 2009;CASTIGLIONI et al, 2009). …”
Section: Introductionmentioning
confidence: 98%