Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5453-2020
https://doi.org/10.5194/hess-24-5453-2020
Research article
 | 
20 Nov 2020
Research article |  | 20 Nov 2020

Predicting probabilities of streamflow intermittency across a temperate mesoscale catchment

Nils Hinrich Kaplan, Theresa Blume, and Markus Weiler

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Cited articles

Akbar, S., Kathuria, A., and Maheshwari, B.: Combining imaging techniques with nonparametric modelling to predict seepage hotspots in irrigation channels, Irrig. Sci., 37, 11–23, https://doi.org/10.1007/s00271-018-0596-6, 2019. 
Ali, G. A. and Roy, A. G.: Shopping for hydrologically representatice connectivity metrics in a humid temperate forested catchment, Water Resour. Res., 46, W12544, https://doi.org/10.1029/2010WR009442, 2010. 
Backhaus, K., Erichson, B., Plinke, W., and Weiber, R.: Multivariate Analysemethoden – Eine anwendungsorientierte Einführung, 11th Edn., Springer, Heidelberg, 2006. 
Beven, K. and Kirkby, M.: A physically based, variable contributing area model of basin hydrology, Hydrolog. Sci. Bull., 24, 43–69, https://doi.org/10.1080/02626667909491834, 1979. 
Bhamjee, R., Lindsay, J. B., and Cockburn, J.: Monitoring ephemeral headwater streams: a paired-sensor approach, Hydrol. Process., 30, 888–898, https://doi.org/10.1002/hyp.10677, 2016. 
Short summary
In recent decades the demand for detailed information of spatial and temporal dynamics of the stream network has grown in the fields of eco-hydrology and extreme flow prediction. We use temporal streamflow intermittency data obtained at various sites using innovative sensing technology as well as spatial predictors to predict and map probabilities of streamflow intermittency. This approach has the potential to provide intermittency maps for hydrological modelling and management practices.