Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2817-2017
https://doi.org/10.5194/hess-21-2817-2017
Research article
 | 
09 Jun 2017
Research article |  | 09 Jun 2017

Unravelling abiotic and biotic controls on the seasonal water balance using data-driven dimensionless diagnostics

Simon Paul Seibert, Conrad Jackisch, Uwe Ehret, Laurent Pfister, and Erwin Zehe

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Cited articles

Ali, G., Tetzlaff, D., Soulsby, C., McDonnell, J. J., and Capell, R.: A comparison of similarity indices for catchment classification using a cross-regional dataset, Adv. Water Resour., 40, 11–22, https://doi.org/10.1016/j.advwatres.2012.01.008, 2012.
Barthold, F. K. and Woods, R. A.: Stormflow generation: A meta-analysis of field evidence from small, forested catchments, Water Resour. Res., 51, 3730–3753, https://doi.org/10.1002/2014WR016221, 2015.
Bayerisches Landesamt für Umwelt: Hochwassernachrichtendienst Bayern, available at: http://www.hnd.bayern.de/, 2017.
Bergstroem, S.: Development and application of a conceptual runoff model for Scandinavian catchments, Tech. rep., Swedish Meteorological and Hydrological Institute (SMHI), Report RHO 7, Norrkoping, 1976.
Beven, K. and Germann, P.: Macropores and water flow in soils revisited, Water Resour. Res., 49, 3071–3092, https://doi.org/10.1002/wrcr.20156, 2013.
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Short summary
Runoff production mechanisms and their corresponding physiographic controls continue to pose major research challenges in catchment hydrology. We propose innovative data-driven diagnostic signatures for overcoming the prevailing status quo in inter-comparison studies. Specifically, we present dimensionless double mass curves which allow us to infer information on runoff generation at the seasonal and annual timescales. The method is based on commonly available data.