Functional data analysis to investigate controls on and changes in the seasonality of UK baseflow

Leeming, Kathryn A.; Bloomfield, John P. ORCID: https://orcid.org/0000-0002-5730-1723; Coxon, Gemma; Zheng, Yanchen. 2024 Functional data analysis to investigate controls on and changes in the seasonality of UK baseflow. Hydrological Sciences Journal. 13, pp. 10.1080/02626667.2024.2434714

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Official URL: https://doi.org/10.1080/02626667.2024.2434714

Abstract/Summary

Continuous streamflow is critical for sustaining ecological systems and ensuring water resource security. Understanding controls on and changes in flows, including the seasonality of baseflow, is therefore an important task. Baseflow seasons have typically been investigated separately, potentially missing hydroecologically important timing changes. Instead, we apply a functional data analysis clustering approach to seasonal patterns of baseflow hydrographs for 671 catchments across Great Britain (GB). The baseflow clusters are characterized as early-, mid-, and late-season peaks. The spatial distribution of the baseflow seasonality clusters is closely connected to the baseflow index and a partition tree shows the influence of catchment topological, hydrogeological and soil factors. Changes in timing of baseflow seasonality are compared to climate seasonality. In GB there appears to be a small but systematic influence of a warming climate on baseflow seasonality via effective rainfall with a tendency for earlier seasonal baseflow peaks, with greater timing changes in snow-influenced catchments.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1080/02626667.2024.2434714
ISSN:	0262-6667
Date made live:	05 Feb 2025 14:13 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/538864

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1080/02626667.2024.2434714

ISSN:

0262-6667

Date made live:

05 Feb 2025 14:13 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/538864