Preprints
https://doi.org/10.5194/hess-2022-106
https://doi.org/10.5194/hess-2022-106
21 Mar 2022
 | 21 Mar 2022
Status: this preprint has been withdrawn by the authors.

Snow Persistence Explains Stream High Flow and Low Flow Signatures with Differing Relationships by Aridity and Climatic Seasonality

Edward Le, Ali Ameli, Joseph Janssen, and John Hammond

Abstract. Snow persistence is a globally available metric of snow cover duration that has, thus far, seen limited application to the field of hydrology. This study attempts to explore the controls that snow persistence exerts on streamflow at low and high flow conditions across a diverse spectrum of climatic aridity and seasonality in the United States and Canada. We statistically analyze how snow persistence, aridity, and seasonality conditions interact to control and explain streamflow shape and flashiness at low and high flows. For low flow condition, regardless of climatic aridity and seasonality, a larger snow persistence increases baseflow, reduces low flow variability, and increases the magnitude of extreme low flow relative to average flow. Our results further show that snow persistence becomes a stronger factor in controlling baseflow as well as the magnitude of extreme low flow relative to average flow, in regions with a relatively high aridity and/or with summer-dominant precipitation regimes (or in-phase seasonality). On the other hand, in catchments that are moderately wet to very arid with winter-dominant precipitation regimes (or out-of-phase seasonality), a longer snow persistence could typically lead to a more variability at high flow and a larger magnitude of extreme high flow relative to average flow. This study concludes by demonstrating the relevancy of snow persistence as a globally available streamflow behaviour descriptor and by demonstrating the impacts that climate change may have on snow persistence and ultimately on streamflow behaviour at low and high flows.

This preprint has been withdrawn.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Edward Le, Ali Ameli, Joseph Janssen, and John Hammond

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-106', Anonymous Referee #1, 19 Apr 2022
    • AC1: 'Reply on RC1', Ali Ameli, 12 Jun 2022
  • RC2: 'Comment on hess-2022-106', Anonymous Referee #2, 27 Apr 2022
    • AC2: 'Reply on RC2', Ali Ameli, 12 Jun 2022

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-106', Anonymous Referee #1, 19 Apr 2022
    • AC1: 'Reply on RC1', Ali Ameli, 12 Jun 2022
  • RC2: 'Comment on hess-2022-106', Anonymous Referee #2, 27 Apr 2022
    • AC2: 'Reply on RC2', Ali Ameli, 12 Jun 2022
Edward Le, Ali Ameli, Joseph Janssen, and John Hammond
Edward Le, Ali Ameli, Joseph Janssen, and John Hammond

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Latest update: 10 Oct 2024
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This preprint has been withdrawn.

Short summary
We used a statistical method to analyze whether snow persistence, defined as the duration of time that snow remains on the ground, explains the variability of streamflow at low and high flow conditions. Results show that as persistence of snow increases, the magnitude of low flow increases and the variability of low flow decreases, regardless of climatic aridity and seasonality. Snow persistence affects stream high flow variability at a narrow range of climatic aridity and seasonality.