Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2863-2017
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, Berit Arheimer, Yeshewatesfa Hundecha, and Thorsten Wagener

Data sets

MULTIHARO_TotalDomain_WGS84_20140428_2 L. Stromback https://doi.org/10.5281/zenodo.581433

CD_climate_35408_E-HYPE A. Kuentz, B. Arheimer, Y. Hundecha, and T. Wagener https://doi.org/10.5281/zenodo.581428

CD_geology_35408_E-HYPE A. Kuentz, B. Arheimer, Y. Hundecha, and T. Wagener https://doi.org/10.5281/zenodo.581429

CD_landuse_35408_E-HYPE A. Kuentz, B. Arheimer, Y. Hundecha, and T. Wagener https://doi.org/10.5281/zenodo.581430

CD_soiltype_35408_E-HYPE A. Kuentz, B. Arheimer, Y. Hundecha, and T. Wagener https://doi.org/10.5281/zenodo.581431

CD_topography_35408_E-HYPE A. Kuentz, B. Arheimer, Y. Hundecha, and T. Wagener https://doi.org/10.5281/zenodo.581432

Flow_signatures_1366stations A. Kuentz, B. Arheimer, Y. Hundecha, and T. Wagener https://doi.org/10.5281/zenodo.581434

flow_stations_sel1366 A. Kuentz, B. Arheimer, Y. Hundecha, and T. Wagener https://doi.org/10.5281/zenodo.581435

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Short summary
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.