Articles | Volume 19, issue 5
https://doi.org/10.5194/hess-19-2395-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-2395-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Using variograms to detect and attribute hydrological change
A. Chiverton
CORRESPONDING AUTHOR
Centre for Ecology & Hydrology, Wallingford, UK
School of Energy, Environment and Agrifood, Cranfield University, Cranfield, UK
British Geological Survey, Wallingford, UK
J. Hannaford
Centre for Ecology & Hydrology, Wallingford, UK
I. P. Holman
School of Energy, Environment and Agrifood, Cranfield University, Cranfield, UK
R. Corstanje
School of Energy, Environment and Agrifood, Cranfield University, Cranfield, UK
C. Prudhomme
Centre for Ecology & Hydrology, Wallingford, UK
T. M. Hess
School of Energy, Environment and Agrifood, Cranfield University, Cranfield, UK
J. P. Bloomfield
British Geological Survey, Wallingford, UK
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Cited
11 citations as recorded by crossref.
- Analysis and modelling of a 9.3 kyr palaeoflood record: correlations, clustering, and cycles A. Witt et al.
- Analysis of changes in hydrological cycle of a pristine mountain catchment. 2. Isotopic data, trend and attribution analyses L. Holko et al.
- Meta-water-modelling (Meta-WaM): A new framework for increasing applicability of digital water modelling J. Molina et al.
- From meteorological to hydrological drought using standardised indicators L. Barker et al.
- Madograms help to quantify mountain frontal zones—An approach towards comparative spatial analysis of complex landforms M. Szymanowski et al.
- Stochastic investigation of long-term persistence in two-dimensional images of rocks P. Dimitriadis et al.
- Updating regionalization of precipitation in Ecuador M. Ilbay-Yupa et al.
- Exploring the role of hydrological pathways in modulating multi-annual climate teleconnection periodicities from UK rainfall to streamflow W. Rust et al.
- Spatial distribution pattern analysis using variograms over geographic and feature space F. Zhao et al.
- Quantifying the past and future hydrological consequences of climate change and human activities on the upstream of the Anzali Wetland Y. Parhoun et al.
- Analysis of changes in hydrological cycle of a pristine mountain catchment. 1. Water balance components and snow cover L. Holko et al.
11 citations as recorded by crossref.
- Analysis and modelling of a 9.3 kyr palaeoflood record: correlations, clustering, and cycles A. Witt et al.
- Analysis of changes in hydrological cycle of a pristine mountain catchment. 2. Isotopic data, trend and attribution analyses L. Holko et al.
- Meta-water-modelling (Meta-WaM): A new framework for increasing applicability of digital water modelling J. Molina et al.
- From meteorological to hydrological drought using standardised indicators L. Barker et al.
- Madograms help to quantify mountain frontal zones—An approach towards comparative spatial analysis of complex landforms M. Szymanowski et al.
- Stochastic investigation of long-term persistence in two-dimensional images of rocks P. Dimitriadis et al.
- Updating regionalization of precipitation in Ecuador M. Ilbay-Yupa et al.
- Exploring the role of hydrological pathways in modulating multi-annual climate teleconnection periodicities from UK rainfall to streamflow W. Rust et al.
- Spatial distribution pattern analysis using variograms over geographic and feature space F. Zhao et al.
- Quantifying the past and future hydrological consequences of climate change and human activities on the upstream of the Anzali Wetland Y. Parhoun et al.
- Analysis of changes in hydrological cycle of a pristine mountain catchment. 1. Water balance components and snow cover L. Holko et al.
Saved (final revised paper)
Latest update: 01 May 2026
Short summary
Current hydrological change detection methods are subject to a host of limitations. This paper develops a new method, temporally shifting variograms (TSVs), which characterises variability in the river flow regime using several parameters, changes in which can then be attributed to precipitation characteristics. We demonstrate the use of the method through application to 94 UK catchments, showing that periods of extremes as well as more subtle changes can be detected.
Current hydrological change detection methods are subject to a host of limitations. This paper...