Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.153
IF5.153
IF 5-year value: 5.460
IF 5-year
5.460
CiteScore value: 7.8
CiteScore
7.8
SNIP value: 1.623
SNIP1.623
IPP value: 4.91
IPP4.91
SJR value: 2.092
SJR2.092
Scimago H <br class='widget-line-break'>index value: 123
Scimago H
index
123
h5-index value: 65
h5-index65
Volume 18, issue 2
Hydrol. Earth Syst. Sci., 18, 649–671, 2014
https://doi.org/10.5194/hess-18-649-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Predictions under change: water, earth, and biota in the anthropocene...

Hydrol. Earth Syst. Sci., 18, 649–671, 2014
https://doi.org/10.5194/hess-18-649-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Review article 19 Feb 2014

Review article | 19 Feb 2014

Advancing catchment hydrology to deal with predictions under change

U. Ehret et al.

Related authors

Histogram via entropy reduction (HER): an information-theoretic alternative for geostatistics
Stephanie Thiesen, Diego M. Vieira, Mirko Mälicke, Ralf Loritz, J. Florian Wellmann, and Uwe Ehret
Hydrol. Earth Syst. Sci., 24, 4523–4540, https://doi.org/10.5194/hess-24-4523-2020,https://doi.org/10.5194/hess-24-4523-2020, 2020
Short summary
Adaptive clustering: reducing the computational costs of distributed (hydrological) modelling by exploiting time-variable similarity among model elements
Uwe Ehret, Rik van Pruijssen, Marina Bortoli, Ralf Loritz, Elnaz Azmi, and Erwin Zehe
Hydrol. Earth Syst. Sci., 24, 4389–4411, https://doi.org/10.5194/hess-24-4389-2020,https://doi.org/10.5194/hess-24-4389-2020, 2020
Short summary
Technical note: Bit by bit: A practical and general approach for evaluating model computational complexity vs. model performance
Elnaz Azmi, Uwe Ehret, Steven V. Weijs, Benjamin L. Ruddell, and Rui A. P. Perdigão
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-128,https://doi.org/10.5194/hess-2020-128, 2020
Preprint under review for HESS
Short summary
A topographic index explaining hydrological similarity by accounting for the joint controls of runoff formation
Ralf Loritz, Axel Kleidon, Conrad Jackisch, Martijn Westhoff, Uwe Ehret, Hoshin Gupta, and Erwin Zehe
Hydrol. Earth Syst. Sci., 23, 3807–3821, https://doi.org/10.5194/hess-23-3807-2019,https://doi.org/10.5194/hess-23-3807-2019, 2019
Short summary
Quantitative precipitation estimation with weather radar using a data- and information-based approach
Malte Neuper and Uwe Ehret
Hydrol. Earth Syst. Sci., 23, 3711–3733, https://doi.org/10.5194/hess-23-3711-2019,https://doi.org/10.5194/hess-23-3711-2019, 2019
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Theory development
Hydrology and beyond: the scientific work of August Colding revisited
Dan Rosbjerg
Hydrol. Earth Syst. Sci., 24, 4575–4585, https://doi.org/10.5194/hess-24-4575-2020,https://doi.org/10.5194/hess-24-4575-2020, 2020
Short summary
The influence of a prolonged meteorological drought on catchment water storage capacity: a hydrological-model perspective
Zhengke Pan, Pan Liu, Chong-Yu Xu, Lei Cheng, Jing Tian, Shujie Cheng, and Kang Xie
Hydrol. Earth Syst. Sci., 24, 4369–4387, https://doi.org/10.5194/hess-24-4369-2020,https://doi.org/10.5194/hess-24-4369-2020, 2020
Short summary
Hydrological and runoff formation processes based on isotope tracing during ablation period in the source regions of Yangtze River
Zong-Jie Li, Zong-Xing Li, Ling-Ling Song, Juan Gui, Jian Xue, Bai Juan Zhang, and Wen De Gao
Hydrol. Earth Syst. Sci., 24, 4169–4187, https://doi.org/10.5194/hess-24-4169-2020,https://doi.org/10.5194/hess-24-4169-2020, 2020
Short summary
Importance of snowmelt contribution to seasonal runoff and summer low flows in Czechia
Michal Jenicek and Ondrej Ledvinka
Hydrol. Earth Syst. Sci., 24, 3475–3491, https://doi.org/10.5194/hess-24-3475-2020,https://doi.org/10.5194/hess-24-3475-2020, 2020
Short summary
Concentration–discharge relationships vary among hydrological events, reflecting differences in event characteristics
Julia L. A. Knapp, Jana von Freyberg, Bjørn Studer, Leonie Kiewiet, and James W. Kirchner
Hydrol. Earth Syst. Sci., 24, 2561–2576, https://doi.org/10.5194/hess-24-2561-2020,https://doi.org/10.5194/hess-24-2561-2020, 2020
Short summary

Cited articles

Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and Rasmussen, J.: An introduction to the European Hydrologic System – Système Hydrologique Européen, "SHE", 1, History and philosophy of a physically-based, distributed modelling system, J. Hydrol., 87, 45–49, 1986.
Abramowitz, G., Gupta, H. V., Pitman, A., Wang, Y., and Leuning, R.: Neural Error Regression Diagnosis (NERD), A Tool for Model Bias Identification and Prognostic Data Assimilation, J. Hydrometeorol., 7, 160–177, 2006.
Abramowitz, G., Pitman, A., Gupta, H. V., Kowalczyk, E., and Wang, Y.: Systematic Bias in Land Surface Models, J. Hydrometeorol., 8, 989–1001, 2007.
Alfonso, L., Lobbrecht, A., and Price, R.: Information theory–based approach for location of monitoring water level gauges in polders, Water Resour. Res., 46, W03528, https://doi.org/10.1029/2009WR008101, 2010.
Ali, G., Oswald, C. J., Spence, C., Cammeraat, E. L. H., McGuire, K. J., Meixner, T., and Reaney, S. M.: Towards a unified threshold-based hydrological theory: necessary components and recurring challenges, Hydrol. Process., 27, 313–318, https://doi.org/10.1002/hyp.9560, 2013.