Articles | Volume 19, issue 11
https://doi.org/10.5194/hess-19-4689-2015
https://doi.org/10.5194/hess-19-4689-2015
Research article
 | 
27 Nov 2015
Research article |  | 27 Nov 2015

Defining high-flow seasons using temporal streamflow patterns from a global model

D. Lee, P. Ward, and P. Block

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Cited articles

Beck, H. E., van Dijk, A. I. J. M., Miralles, D. G., de Jeu, R. A. M., Sampurno Bruijnzeel, L. A., McVicar, T. R., and Schellekens, J.: Global patterns in base flow index and recession based on streamflow observations from 3394 catchments, Water Resour. Res., 49, 7843–7863, https://doi.org/10.1002/2013WR013918, 2013.
Beck, H. E., de Roo, A., and van Dijk, A. I. J. M.: Global Maps of Streamflow Characteristics Based on Observations from Several Thousand Catchments, J. Hydrometeorol., 16, 1478–1501, https://doi.org/10.1175/JHM-D-14-0155.1, 2015.
Bouwer, L. M.: Have Disaster Losses Increased Due to Anthropogenic Climate Change?, B. Am. Meteorol. Soc., 92, 39–46, https://doi.org/10.1175/2010BAMS3092.1, 2011.
Brakenridge, G. R.: Global Active Archive of Large Flood Events, Dartmouth Flood Observatory, University of Colorado, available at: http://floodobservatory.colorado.edu/Archives/index.html, last access: 27 April 2015, 2011.
Burn, D. H.: Catchment similarity for regional flood frequency analysis using seasonality measures, J. Hydrol., 202, 212–230, https://doi.org/10.1016/S0022-1694(97)00068-1, 1997.
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Short summary
This paper presents a global approach to defining high-flow seasons by identifying temporal patterns of streamflow. Simulations of streamflow from the PCR-GLOBWB model are evaluated to define dominant and minor high-flow seasons globally, and verified with GRDC observations and flood records from Dartmouth Flood Observatory.
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