Journal metrics

Journal metrics

  • IF value: 4.256 IF 4.256
  • IF 5-year value: 4.819 IF 5-year 4.819
  • CiteScore value: 4.10 CiteScore 4.10
  • SNIP value: 1.412 SNIP 1.412
  • SJR value: 2.023 SJR 2.023
  • IPP value: 3.97 IPP 3.97
  • h5-index value: 58 h5-index 58
  • Scimago H index value: 99 Scimago H index 99
Volume 21, issue 6 | Copyright
Hydrol. Earth Syst. Sci., 21, 2863-2879, 2017
https://doi.org/10.5194/hess-21-2863-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 12 Jun 2017

Research article | 12 Jun 2017

Understanding hydrologic variability across Europe through catchment classification

Anna Kuentz et al.
Related authors
Streamflow variability over the 1881–2011 period in northern Québec: comparison of hydrological reconstructions based on tree rings and geopotential height field reanalysis
Pierre Brigode, François Brissette, Antoine Nicault, Luc Perreault, Anna Kuentz, Thibault Mathevet, and Joël Gailhard
Clim. Past, 12, 1785-1804, https://doi.org/10.5194/cp-12-1785-2016,https://doi.org/10.5194/cp-12-1785-2016, 2016
Related subject area
Subject: Global hydrology | Techniques and Approaches: Modelling approaches
Toward continental hydrologic–hydrodynamic modeling in South America
Vinícius A. Siqueira, Rodrigo C. D. Paiva, Ayan S. Fleischmann, Fernando M. Fan, Anderson L. Ruhoff, Paulo R. M. Pontes, Adrien Paris, Stéphane Calmant, and Walter Collischonn
Hydrol. Earth Syst. Sci., 22, 4815-4842, https://doi.org/10.5194/hess-22-4815-2018,https://doi.org/10.5194/hess-22-4815-2018, 2018
Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed
David R. Casson, Micha Werner, Albrecht Weerts, and Dimitri Solomatine
Hydrol. Earth Syst. Sci., 22, 4685-4697, https://doi.org/10.5194/hess-22-4685-2018,https://doi.org/10.5194/hess-22-4685-2018, 2018
The effect of climate type on timescales of drought propagation in an ensemble of global hydrological models
Anouk I. Gevaert, Ted I. E. Veldkamp, and Philip J. Ward
Hydrol. Earth Syst. Sci., 22, 4649-4665, https://doi.org/10.5194/hess-22-4649-2018,https://doi.org/10.5194/hess-22-4649-2018, 2018
Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation
Anouk I. Gevaert, Luigi J. Renzullo, Albert I. J. M. van Dijk, Hans J. van der Woerd, Albrecht H. Weerts, and Richard A. M. de Jeu
Hydrol. Earth Syst. Sci., 22, 4605-4619, https://doi.org/10.5194/hess-22-4605-2018,https://doi.org/10.5194/hess-22-4605-2018, 2018
Remote land use impacts on river flows through atmospheric teleconnections
Lan Wang-Erlandsson, Ingo Fetzer, Patrick W. Keys, Ruud J. van der Ent, Hubert H. G. Savenije, and Line J. Gordon
Hydrol. Earth Syst. Sci., 22, 4311-4328, https://doi.org/10.5194/hess-22-4311-2018,https://doi.org/10.5194/hess-22-4311-2018, 2018
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.
Publications Copernicus
Download
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.
Our study aims to explore and understand the physical controls on spatial patterns of...
Citation
Share