Articles | Volume 27, issue 13
Technical note
10 Jul 2023
Technical note |  | 10 Jul 2023

Technical note: Statistical generation of climate-perturbed flow duration curves

Veysel Yildiz, Robert Milton, Solomon Brown, and Charles Rougé

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Cited articles

Blöschl, G., Sivapalan, M., Wagener, T., Savenije, H., and Viglione, A.: Runoff prediction in ungauged basins: synthesis across processes, places and scales, Cambridge University Press,, 2013. a
Boscarello, L., Ravazzani, G., Cislaghi, A., and Mancini, M.: Regionalization of flow-duration curves through catchment classification with streamflow signatures and physiographic–climate indices, J. Hydrol. Eng., 21, 05015027,, 2016. a
Brown, A. E., Western, A. W., McMahon, T. A., and Zhang, L.: Impact of forest cover changes on annual streamflow and flow duration curves, J. Hydrol., 483, 39–50, 2013. a
Brown, C., Ghile, Y., Laverty, M., and Li, K.: Decision scaling: Linking bottom-up vulnerability analysis with climate projections in the water sector, Water Resour. Res., 48, W09537,, 2012. a, b
Bryant, B. P. and Lempert, R. J.: Thinking inside the box: A participatory, computer-assisted approach to scenario discovery, Technol. Forecast. Soc., 77, 34–49, 2010. a
Short summary
The proposed approach is based on the parameterisation of flow duration curves (FDCs) to generate hypothetical streamflow futures. (1) We sample a broad range of future climates with modified values of three key streamflow statistics. (2) We generate an FDC for each hydro-climate future. (3) The resulting ensemble is ready to support robustness assessments in a changing climate. Our approach seamlessly represents a large range of futures with increased frequencies of both high and low flows.