Development of ensemble approaches based on performance of statistical methods for daily streamflow estimation

This study presents an extension of an existing performance-based weighting system to combine statistical streamflow estimates for ungauged basins. Three statistical methods, namely the drainage area ratio (DAR) method, the standardization with mean (SM) method, and the inverse similarity weighting...

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Bibliographic Details
Published inHydrological sciences journal Vol. 67; no. 8; pp. 1199 - 1215
Main Authors Yilmaz, Mustafa Utku, Onoz, Bihrat
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 11.06.2022
Taylor & Francis Ltd
Subjects
Basins
Daily
daily streamflow estimation
Drainage area
drainage area ratio
Drainage basins
ensemble approaches
Estimation
Euphrates basin
performance-based weighting
Standardization
Statistical methods
Statistics
Stream discharge
Stream flow
Streamflow estimation
ungauged basins
Weighting
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Summary:This study presents an extension of an existing performance-based weighting system to combine statistical streamflow estimates for ungauged basins. Three statistical methods, namely the drainage area ratio (DAR) method, the standardization with mean (SM) method, and the inverse similarity weighting (ISW) method, have been applied to two sub-basins of the Euphrates basin in Turkey. To improve the effectiveness of the daily streamflow estimation in ungauged basins, ensemble approaches that combine the results of two or three statistical methods have been proposed based on a weighting system using various performance measures. The overall results demonstrate that the proposed ensemble approaches with the performance-based weighting system are beneficial to enhance the performance of the statistical methods in estimating daily streamflow at ungauged basins.
ISSN:0262-6667
2150-3435
DOI:10.1080/02626667.2022.2072735