Articles | Volume 21, issue 6
Hydrol. Earth Syst. Sci., 21, 2863–2879, 2017
https://doi.org/10.5194/hess-21-2863-2017
Hydrol. Earth Syst. Sci., 21, 2863–2879, 2017
https://doi.org/10.5194/hess-21-2863-2017

Research article 12 Jun 2017

Research article | 12 Jun 2017

Understanding hydrologic variability across Europe through catchment classification

Anna Kuentz et al.

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Cited articles

Abbaspour, K. C., Rouholahnejad, E., Vaghefi, S. Srinivasan, R., Yang, H., and Kløve, B.: A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model, J. Hydrol., 524,733–752, https://doi.org/10.1016/j.jhydrol.2015.03.027, 2015.
Almeida, S., Le Vine, N., McIntyre, N., Wagener, T., and Buytaert, W.: Accounting for dependencies in regionalized signatures for predictions in ungauged catchments, Hydrol. Earth Syst. Sci., 20, 887–901, https://doi.org/10.5194/hess-20-887-2016, 2016.
Arheimer, B., Andersson, L., and Lepistö, A.: Variations of nitrogen concentrations in forest streams - influences of flow, seasonality and catchment characteristics, J. Hydrol., 179, 281–304, 1996.
Arheimer, B. and Lidén, R.: Nitrogen and phosphorus concentrations from agricultural catchments – influence of spatial and temporal variables, J. Hydrol., 227, 140–159, 2000.
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Our study aims to explore and understand the physical controls on spatial patterns of pan-European flow signatures by taking advantage of large open datasets. Using tools like correlation analysis, stepwise regressions and different types of catchment classifications, we explore the relationships between catchment descriptors and flow signatures across 35 215 catchments which cover a wide range of pan-European physiographic and anthropogenic characteristics.