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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 18, issue 5
Hydrol. Earth Syst. Sci., 18, 1935–1952, 2014
https://doi.org/10.5194/hess-18-1935-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 18, 1935–1952, 2014
https://doi.org/10.5194/hess-18-1935-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 23 May 2014

Research article | 23 May 2014

Attribution of detected changes in streamflow using multiple working hypotheses

S. Harrigan1, C. Murphy1, J. Hall2, R. L. Wilby3, and J. Sweeney1 S. Harrigan et al.
  • 1Irish Climate Analysis and Research Units (ICARUS), Department of Geography, National University of Ireland Maynooth, Maynooth, Ireland
  • 2Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
  • 3Centre for Hydrological and Ecosystem Science, Department of Geography, Loughborough University, Loughborough, UK

Abstract. This paper revisits a widely cited study of the Boyne catchment in east Ireland that attributed greater streamflow from the mid-1970s to increased precipitation linked to a shift in the North Atlantic Oscillation. Using the method of multiple working hypotheses we explore a wider set of potential drivers of hydrological change. Rainfall–runoff models are used to reconstruct streamflow to isolate the effect of climate, taking account of both model structure and parameter uncertainty. The Mann–Kendall test for monotonic trend and Pettitt change point test are applied to explore signatures of change. Contrary to earlier work, arterial drainage and simultaneous onset of field drainage in the 1970s and early 1980s are now invoked as the predominant drivers of change in annual mean and high flows within the Boyne. However, a change in precipitation regime is also present in March, thereby amplifying the effect of drainage. This new explanation posits that multiple drivers acting simultaneously were responsible for the observed change, with the relative contribution of each driver dependant on the timescale investigated. This work demonstrates that valuable insights can be gained from a systematic application of the method of multiple working hypotheses in an effort to move towards more rigorous attribution, which is an important part of managing emerging impacts on hydrological systems.

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