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

Journal metrics

Journal metrics

  • IF value: 5.153 IF 5.153
  • IF 5-year value: 5.460 IF 5-year
    5.460
  • CiteScore value: 7.8 CiteScore
    7.8
  • SNIP value: 1.623 SNIP 1.623
  • IPP value: 4.91 IPP 4.91
  • SJR value: 2.092 SJR 2.092
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 123 Scimago H
    index 123
  • h5-index value: 65 h5-index 65
Volume 20, issue 5
Hydrol. Earth Syst. Sci., 20, 2085–2101, 2016
https://doi.org/10.5194/hess-20-2085-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: HYPER Droughts (HYdrological Precipitation – Evaporation...

Hydrol. Earth Syst. Sci., 20, 2085–2101, 2016
https://doi.org/10.5194/hess-20-2085-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 26 May 2016

Research article | 26 May 2016

Uncertainty contributions to low-flow projections in Austria

Juraj Parajka et al.

Related authors

Why does a conceptual hydrological model fail to correctly predict discharge changes in response to climate change?
Doris Duethmann, Günter Blöschl, and Juraj Parajka
Hydrol. Earth Syst. Sci., 24, 3493–3511, https://doi.org/10.5194/hess-24-3493-2020,https://doi.org/10.5194/hess-24-3493-2020, 2020
Short summary
Importance of the information content in the study area when regionalising rainfall-runoff model parameters: the role of nested catchments and gauging station density
Mattia Neri, Juraj Parajka, and Elena Toth
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-38,https://doi.org/10.5194/hess-2020-38, 2020
Revised manuscript under review for HESS
Short summary
A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers
Theano Iliopoulou, Cristina Aguilar, Berit Arheimer, María Bermúdez, Nejc Bezak, Andrea Ficchì, Demetris Koutsoyiannis, Juraj Parajka, María José Polo, Guillaume Thirel, and Alberto Montanari
Hydrol. Earth Syst. Sci., 23, 73–91, https://doi.org/10.5194/hess-23-73-2019,https://doi.org/10.5194/hess-23-73-2019, 2019
Short summary
Joint editorial: Invigorating hydrological research through journal publications
Nevil Quinn, Günter Blöschl, András Bárdossy, Attilio Castellarin, Martyn Clark, Christophe Cudennec, Demetris Koutsoyiannis, Upmanu Lall, Lubomir Lichner, Juraj Parajka, Christa D. Peters-Lidard, Graham Sander, Hubert Savenije, Keith Smettem, Harry Vereecken, Alberto Viglione, Patrick Willems, Andy Wood, Ross Woods, Chong-Yu Xu, and Erwin Zehe
Proc. IAHS, 380, 3–8, https://doi.org/10.5194/piahs-380-3-2018,https://doi.org/10.5194/piahs-380-3-2018, 2018
Joint editorial: Invigorating hydrological research through journal publications
Nevil Quinn, Günter Blöschl, András Bárdossy, Attilio Castellarin, Martyn Clark, Christophe Cudennec, Demetris Koutsoyiannis, Upmanu Lall, Lubomir Lichner, Juraj Parajka, Christa D. Peters-Lidard, Graham Sander, Hubert Savenije, Keith Smettem, Harry Vereecken, Alberto Viglione, Patrick Willems, Andy Wood, Ross Woods, Chong-Yu Xu, and Erwin Zehe
Hydrol. Earth Syst. Sci., 22, 5735–5739, https://doi.org/10.5194/hess-22-5735-2018,https://doi.org/10.5194/hess-22-5735-2018, 2018

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Uncertainty analysis
Technical note: Uncertainty in multi-source partitioning using large tracer data sets
Alicia Correa, Diego Ochoa-Tocachi, and Christian Birkel
Hydrol. Earth Syst. Sci., 23, 5059–5068, https://doi.org/10.5194/hess-23-5059-2019,https://doi.org/10.5194/hess-23-5059-2019, 2019
Short summary
A systematic assessment of uncertainties in large scale soil loss estimation from different representations of USLE input factors – A case study for Kenya and Uganda
Christoph Schürz, Bano Mehdi, Jens Kiesel, Karsten Schulz, and Mathew Herrnegger
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-602,https://doi.org/10.5194/hess-2019-602, 2019
Revised manuscript accepted for HESS
Short summary
Assessment of climate change impact and difference on the river runoff in four basins in China under 1.5 and 2.0 °C global warming
Hongmei Xu, Lüliu Liu, Yong Wang, Sheng Wang, Ying Hao, Jingjin Ma, and Tong Jiang
Hydrol. Earth Syst. Sci., 23, 4219–4231, https://doi.org/10.5194/hess-23-4219-2019,https://doi.org/10.5194/hess-23-4219-2019, 2019
Short summary
Coupled machine learning and the limits of acceptability approach applied in parameter identification for a distributed hydrological model
Aynom T. Teweldebrhan, John F. Burkhart, Thomas V. Schuler, and Morten Hjorth-Jensen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-464,https://doi.org/10.5194/hess-2019-464, 2019
Revised manuscript accepted for HESS
A likelihood framework for deterministic hydrological models and the importance of non-stationary autocorrelation
Lorenz Ammann, Fabrizio Fenicia, and Peter Reichert
Hydrol. Earth Syst. Sci., 23, 2147–2172, https://doi.org/10.5194/hess-23-2147-2019,https://doi.org/10.5194/hess-23-2147-2019, 2019
Short summary

Cited articles

Addor, N., Rössler, O., Köplin, N., Huss, M., Weingartner, R., and Seibert, J.: Robust changes and sources of uncertainty in the projected hydrological regimes of Swiss catchments, Water Resour. Res., 50, 7541–7562, https://doi.org/10.1002/2014WR015549, 2014.
BGBl II Nr. 99/2010: Bundesgesetzblatt für die Republik Österreich, Qualitätszielverordnung Ökologie Oberflächengewässer – QZV Ökologie OG, Jahrgang 2010.
Bosshard, T., Carambia, M., Goergen, K., Kotlarski, S., Krahe, P., Zappa, M., and Schär, C.: Quantifying uncertainty sources in an ensemble of hydrological climate-impact projections, Water Resour. Res., 49, 1523–1536, https://doi.org/10.1029/2011WR011533, 2013.
Burn, D. H.: Catchment similarity for regional flood frequency analysis using seasonality measures, J. Hydrol., 202, 212–230, 1997.
Ceola, S., Arheimer, B., Baratti, E., Blöschl, G., Capell, R., Castellarin, A., Freer, J., Han, D., Hrachowitz, M., Hundecha, Y., Hutton, C., Lindström, G., Montanari, A., Nijzink, R., Parajka, J., Toth, E., Viglione, A., and Wagener, T.: Virtual laboratories: new opportunities for collaborative water science, Hydrol. Earth Syst. Sci., 19, 2101–2117, https://doi.org/10.5194/hess-19-2101-2015, 2015.
Publications Copernicus
Short summary
Streamflow estimation during low-flow conditions is important for estimation of environmental flows, effluent water quality, hydropower operations, etc. However, it is not clear how the uncertainties in assumptions used in the projections translate into uncertainty of estimated future low flows. The objective of the study is to explore the relative role of hydrologic model calibration and climate scenarios in the uncertainty of low-flow projections in Austria.
Streamflow estimation during low-flow conditions is important for estimation of environmental...
Citation