Elasticity curves describe streamflow sensitivity to precipitation across the entire flow distribution

Anderson, Bailey J.; Brunner, Manuela I.; Slater, Louise J.; Dadson, Simon J. ORCID: https://orcid.org/0000-0002-6144-4639. 2024 Elasticity curves describe streamflow sensitivity to precipitation across the entire flow distribution. Hydrology and Earth System Sciences, 28 (7). 1567-1583. https://doi.org/10.5194/hess-28-1567-2024

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Abstract/Summary

Streamflow elasticity is the ratio of the expected percentage change in streamflow to a 1 % change in precipitation – a simple approximation of how responsive a river is to precipitation. Typically, streamflow elasticity is estimated for average annual streamflow; however, we propose a new concept in which streamflow elasticity is estimated for multiple percentiles across the full distribution of streamflow. This “elasticity curve” can then be used to develop a more complete depiction of how streamflow responds to climate. Representing elasticity as a curve which reflects the range of responses across the distribution of streamflow within a given time period, instead of as a single-point estimate, provides a novel lens through which we can interpret hydrological behaviour. As an example, we calculate elasticity curves for 805 catchments in the United States and then cluster them according to their shape. This results in three distinct elasticity curve types which characterize the streamflow–precipitation relationship at annual and seasonal timescales. Through this, we demonstrate that elasticity estimated from the central summary of streamflow, e.g. the annual median, does not provide a complete picture of streamflow sensitivity. Further, we show that elasticity curve shape, i.e. the response of different flow percentiles relative to one another in one catchment, can be interpreted separately from between-catchment variation in the average magnitude of streamflow change associated with a 1 % change in precipitation. Finally, we find that available water storage is likely the key control which determines curve shape.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.5194/hess-28-1567-2024
UKCEH and CEH Sections/Science Areas:	Hydro-climate Risks (Science Area 2017-)
ISSN:	1027-5606
Additional Information. Not used in RCUK Gateway to Research.:	Open access paper - full text available via Official URL link.
NORA Subject Terms:	Hydrology Meteorology and Climatology
Related URLs:	Dataset Other Dataset Dataset
Date made live:	06 Nov 2023 10:13 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/535491

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