Articles | Volume 22, issue 8
Hydrol. Earth Syst. Sci., 22, 4401–4424, 2018
https://doi.org/10.5194/hess-22-4401-2018
Hydrol. Earth Syst. Sci., 22, 4401–4424, 2018
https://doi.org/10.5194/hess-22-4401-2018

Research article 21 Aug 2018

Research article | 21 Aug 2018

Detecting dominant changes in irregularly sampled multivariate water quality data sets

Christian Lehr et al.

Data sets

Measurement of groundwater heads, Quillow catchment, Germany C. Merz and J. Steidl https://doi.org/10.4228/ZALF.2000.272

Model code and software

R scripts for the detection of dominant changes in irregularly sampled multivariate water quality data sets C. Lehr, T. Kalettka, C. Merz, J. Steidl, and G. Lischeid https://doi.org/10.4228/ZALF.2017.340

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Short summary
We suggested and tested an exploratory approach for the detection of dominant changes in multivariate water quality data sets with irregular sampling in space and time. The approach is especially recommended for the exploratory assessment of existing long-term low-frequency multivariate water quality monitoring data.