Articles | Volume 19, issue 11
Hydrol. Earth Syst. Sci., 19, 4689–4705, 2015
Hydrol. Earth Syst. Sci., 19, 4689–4705, 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 et al.

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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,, 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,, 2015.
Bouwer, L. M.: Have Disaster Losses Increased Due to Anthropogenic Climate Change?, B. Am. Meteorol. Soc., 92, 39–46,, 2011.
Brakenridge, G. R.: Global Active Archive of Large Flood Events, Dartmouth Flood Observatory, University of Colorado, available at:, last access: 27 April 2015, 2011.
Burn, D. H.: Catchment similarity for regional flood frequency analysis using seasonality measures, J. Hydrol., 202, 212–230,, 1997.
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.