Preprints
https://doi.org/10.5194/hess-2021-307
https://doi.org/10.5194/hess-2021-307

  28 Jun 2021

28 Jun 2021

Review status: this preprint is currently under review for the journal HESS.

Streamflow indices to identify catchment drivers of hydrograph

Jeenu Mathai1 and Pradeep Mujumdar1,2 Jeenu Mathai and Pradeep Mujumdar
  • 1Department of Civil Engineering, Indian Institute of Science, Bangalore, India
  • 2Interdisciplinary Centre for Water Research, Indian Institute of Science, Bangalore, India

Abstract. Streamflow indices are flow descriptors that quantify the streamflow dynamics, which are usually determined for a specific basin and are distinct from other basin features. The flow descriptors are appropriate for large-scale and comparative hydrology studies, independent of statistical assumptions and can distinguish signals that indicate basin behavior over time. In this paper, the characteristic features of the hydrograph's temporal asymmetry due to its different underlying hydrologic processes are primarily highlighted. Streamflow indices linked to each limb of the hydrograph within the time-irreversibility paradigm are distinguished with respect to its processes driving the rising and falling limbs. Various streamflow indices relating the rising and falling limbs, and the catchment attributes such as climate, topography, vegetation, geology and soil are then correlated. Finally, the key attributes governing rising and falling limbs are identified. 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. A set of streamflow indices at the catchment scale for 671 basins in the Contiguous United States (CONUS) is presented here. These streamflow indices complement the catchment attributes provided earlier (Addor et al., 2017) for the CAMELS data set. A series of spatial maps describing the streamflow indices and their regional variability over the CONUS is illustrated in this study.

Jeenu Mathai and Pradeep Mujumdar

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Review of “Streamflow indices to identify catchment drivers of hydrograph” by Mathai and Mjumdar', Wouter Knoben, 10 Jul 2021
    • AC1: 'Reply on RC1', Pradeep P. Mujumdar, 10 Jul 2021
    • AC2: 'Reply on RC1', Pradeep P. Mujumdar, 30 Aug 2021
  • RC2: 'Review of hess-2021-307', Anonymous Referee #2, 25 Jul 2021
    • AC3: 'Reply on RC2', Pradeep P. Mujumdar, 30 Aug 2021
    • AC4: 'Reply on RC2', Pradeep P. Mujumdar, 30 Aug 2021

Jeenu Mathai and Pradeep Mujumdar

Jeenu Mathai and Pradeep Mujumdar

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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 hydrograph. 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.