Articles | Volume 26, issue 8
https://doi.org/10.5194/hess-26-2019-2022
https://doi.org/10.5194/hess-26-2019-2022
Research article
 | 
25 Apr 2022
Research article |  | 25 Apr 2022

Use of streamflow indices to identify the catchment drivers of hydrographs

Jeenu Mathai and Pradeep P. Mujumdar

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Cited articles

Addor, N., Newman, A. J., Mizukami, N., and Clark, M. P.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21, 5293–5313, https://doi.org/10.5194/hess-21-5293-2017, 2017. 
Addor, N., Nearing, G., Prieto, C., Newman, A. J., Le Vine, N., and Clark, M. P.: A Ranking of Hydrological Signatures Based on Their Predictability in Space, Water Resour. Res., 54, 8792–8812, https://doi.org/10.1029/2018WR022606, 2018. 
Addor, N., Do, H. X., Alvarez-Garreton, C., Coxon, G., Fowler, K., and Mendoza, P. A.: Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges, Hydrolog. Sci. J., 65, 712–725, https://doi.org/10.1080/02626667.2019.1683182, 2020. 
Aksoy, H.: Markov chain-based modeling techniques for stochastic generation of daily intermittent streamflows, Adv. Water Resour., 26, 663–671, https://doi.org/10.1016/S0309-1708(03)00031-9, 2003. 
Aksoy, H. and Bayazit, M.: A Daily Intermittent Streamflow Simulator, Turkish J. Eng. Environ. Sci., 24, 265–276, 2000. 
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Short summary
With availability of large samples of data in catchments, it is necessary to develop indices that describe the streamflow processes. This paper describes new indices applicable for the rising and falling limbs of streamflow hydrographs. The indices provide insights into the drivers of the hydrographs. The novelty of the work is on differentiating hydrographs by their time irreversibility property and offering an alternative way to recognize primary drivers of streamflow hydrographs.